Sharon AI & Cisco Launch Australia’s First Cisco Secure AI Factory with NVIDIA




Sharon AI & Cisco Launch Australia’s First Cisco Secure AI Factory with NVIDIA

News summary

• Cisco and Sharon AI launch Australia’s first Cisco Secure AI Factory with NVIDIA, providing secure, high-performance AI infrastructure with all data processing remaining in the country.
• Powered by 1024 NVIDIA Blackwell Ultra GPUs, Cisco’s UCS servers and Nexus Hyperfabric technology, it supports Australia’s National AI Plan and accelerates enterprise AI adoption and innovation across the Asia-Pacific region.
• This initiative positions Australia to lead in sovereign and responsible AI, empowering enterprises to develop advanced AI solutions while maintaining the highest security standards.

NEW YORK–(BUSINESS WIRE)–Today, Cisco (NASDAQ: CSCO) and SharonAI Holdings Inc. (NASDAQ:SHAZ) and its subsidiaries (“Sharon AI”), a leading Australian neocloud announced the launch of Australia’s first Cisco Secure AI Factory in partnership with NVIDIA.

This initiative marks a significant leap forward in providing Australia with secure, scalable and high-performance sovereign AI capabilities with all data and AI processing kept within the country. By delivering robust national digital infrastructure and upholding data sovereignty, the Cisco Secure AI Factory powers an AI-enabled economy, supporting the development, adoption, and responsible use of AI in alignment with Australia’s new National AI Plan.

Sharon AI will offer a variety of solutions tailored to different customer needs and industries. Customers will also have access to a sandbox environment to experiment with proof-of-concepts. At the foundation of these offers is the Cisco Secure AI Factory with NVIDIA, powered by:

• Cisco’s UCS servers, together with Cisco security and networking portfolio delivering accelerated AI capabilities, and Nexus Hyperfabric as part of the Nexus One unified management plane.
• 1024 NVIDIA Blackwell Ultra GPUs, delivering breakthrough performance and flexibility for complex AI and machine learning tasks.
• VAST Data’s cutting-edge storage systems provide the fast, reliable, and scalable data access to support demanding AI workloads.
• NEXTDC’s world-class Australian data centers provide resilient, sovereign hosting for all critical infrastructure.

“AI innovation is moving faster than ever, and Cisco is delivering the critical infrastructure Australia needs to move fast and adopt AI safely and securely. The Cisco Secure AI Factory enables enterprises and governments to harness their data for differentiation, unlocking innovation and competitive advantage, by strengthening sovereign capabilities and building a trustworthy AI ecosystem. This collaboration positions Australia at the forefront of secure, responsible AI,” said Stefan Leitl, Vice President & General Manager, Cisco Australia & New Zealand.

“We are excited to have partnered with Cisco and NVIDIA to accelerate enterprise AI and high-performance compute adoption throughout Asia-Pacific. This 1024 NVIDIA Blackwell Ultra deployment has been architected and deployed alongside Cisco to ensure together we can bring unprecedented value to customers. We look forward to further collaboration with the Cisco team to drive enterprise AI adoption and additional clusters in 2026 and beyond,” said James Manning, Co-Founder and CEO, Sharon AI.

“Secure, sovereign AI infrastructure is a critical resource for enterprises across the Asia-Pacific region. Sharon AI and Cisco are accelerating the next wave of innovation with NVIDIA Blackwell Ultra GPUs to provide Australia with its first Secure AI Factory with NVIDIA,” said Sudarsharn Ramachandran, Country Manager – Enterprise Australia & New Zealand, NVIDIA.

More information is available Cisco Secure AI Factory with NVIDIA.

About Cisco

Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.

About Sharon AI

SharonAI Holdings Inc. (NASDAQ:SHAZ) and its subsidiaries (“Sharon AI”), Australia’s leading Neocloud, is a High-Performance Computing company focused on Artificial Intelligence and Cloud GPU Compute Infrastructure. Our cloud GPU platform and compute infrastructure is accelerating the build of AI factories and sovereign AI solutions, powering the next wave of accelerated computing adoption. For more information, visit www.sharonai.com.

Forward-Looking Statements

This press release may contain, and our officers and representatives may from time to time make, “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, which are not historical facts and which are not assurances of future performance. Forward-looking statements are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. In some cases you can identify these statements by forward-looking words such as “believe,” “may,” “will,” “estimate,” “continue,” “anticipate,” “intend,” “could,” “should,” “would,” “project,” “strategy,” “plan,” “expect,” “goal,” “seek,” “future,” “likely” or the negative or plural of these words or similar expressions or references to future periods. Forward-looking statements in this release include specific statements regarding the anticipated listing on the Nasdaq Capital Market and completion of the Offering. Examples of such forward-looking statements include but are not limited to express or implied statements regarding Sharon AI’s management team’s expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding:

• Service and product offerings;
• Receipt and use of proceeds;
• Acceleration of the deployment of assets;
• Acceleration of Sharon AI’s ability to engage with additional potential customers;
• Expansion of Sharon AI’s data center footprint;
• The firming of Sharon AI’s ability to formally lease additional capacity; and
• The strengthening of Sharon AI’s partner network.

In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. You are cautioned that such statements are not guarantees of future performance and that actual results or developments may differ materially from those set forth in these forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause actual results to differ materially from these forward-looking statements include, among others, all of the risks described in the “Risk Factors” section of the Registration Statement on Form S-1 declared effective by the SEC on February 17, 2026. Additional assumptions, risks and uncertainties are described in detail in our registration statements, reports and other filings with the SEC, which are available at www.sec.gov.

The forward-looking statements and other information contained in this news release are made as of the date hereof and Sharon AI does not undertake any obligation to update publicly or revise any forward-looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws.

Contacts

Sharon AI Media Enquiries:

Rosalyn Christian/Zachary Nevas

IMS Investor Relations

+1 203.972.9200

sharonai@imsinvestorrelations.com

Sharon AI & Cisco Launch Australia’s First Cisco Secure AI Factory with NVIDIA




Sharon AI & Cisco Launch Australia’s First Cisco Secure AI Factory with NVIDIA

News summary

• Cisco and Sharon AI launch Australia’s first Cisco Secure AI Factory with NVIDIA, providing secure, high-performance AI infrastructure with all data processing remaining in the country.
• Powered by 1024 NVIDIA Blackwell Ultra GPUs, Cisco’s UCS servers and Nexus Hyperfabric technology, it supports Australia’s National AI Plan and accelerates enterprise AI adoption and innovation across the Asia-Pacific region.
• This initiative positions Australia to lead in sovereign and responsible AI, empowering enterprises to develop advanced AI solutions while maintaining the highest security standards.

NEW YORK–(BUSINESS WIRE)–Today, Cisco (NASDAQ: CSCO) and SharonAI Holdings Inc. (NASDAQ:SHAZ) and its subsidiaries (“Sharon AI”), a leading Australian neocloud announced the launch of Australia’s first Cisco Secure AI Factory in partnership with NVIDIA.

This initiative marks a significant leap forward in providing Australia with secure, scalable and high-performance sovereign AI capabilities with all data and AI processing kept within the country. By delivering robust national digital infrastructure and upholding data sovereignty, the Cisco Secure AI Factory powers an AI-enabled economy, supporting the development, adoption, and responsible use of AI in alignment with Australia’s new National AI Plan.

Sharon AI will offer a variety of solutions tailored to different customer needs and industries. Customers will also have access to a sandbox environment to experiment with proof-of-concepts. At the foundation of these offers is the Cisco Secure AI Factory with NVIDIA, powered by:

• Cisco’s UCS servers, together with Cisco security and networking portfolio delivering accelerated AI capabilities, and Nexus Hyperfabric as part of the Nexus One unified management plane.
• 1024 NVIDIA Blackwell Ultra GPUs, delivering breakthrough performance and flexibility for complex AI and machine learning tasks.
• VAST Data’s cutting-edge storage systems provide the fast, reliable, and scalable data access to support demanding AI workloads.
• NEXTDC’s world-class Australian data centers provide resilient, sovereign hosting for all critical infrastructure.

“AI innovation is moving faster than ever, and Cisco is delivering the critical infrastructure Australia needs to move fast and adopt AI safely and securely. The Cisco Secure AI Factory enables enterprises and governments to harness their data for differentiation, unlocking innovation and competitive advantage, by strengthening sovereign capabilities and building a trustworthy AI ecosystem. This collaboration positions Australia at the forefront of secure, responsible AI,” said Stefan Leitl, Vice President & General Manager, Cisco Australia & New Zealand.

“We are excited to have partnered with Cisco and NVIDIA to accelerate enterprise AI and high-performance compute adoption throughout Asia-Pacific. This 1024 NVIDIA Blackwell Ultra deployment has been architected and deployed alongside Cisco to ensure together we can bring unprecedented value to customers. We look forward to further collaboration with the Cisco team to drive enterprise AI adoption and additional clusters in 2026 and beyond,” said James Manning, Co-Founder and CEO, Sharon AI.

“Secure, sovereign AI infrastructure is a critical resource for enterprises across the Asia-Pacific region. Sharon AI and Cisco are accelerating the next wave of innovation with NVIDIA Blackwell Ultra GPUs to provide Australia with its first Secure AI Factory with NVIDIA,” said Sudarsharn Ramachandran, Country Manager – Enterprise Australia & New Zealand, NVIDIA.

More information is available Cisco Secure AI Factory with NVIDIA.

About Cisco

Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.

About Sharon AI

SharonAI Holdings Inc. (NASDAQ:SHAZ) and its subsidiaries (“Sharon AI”), Australia’s leading Neocloud, is a High-Performance Computing company focused on Artificial Intelligence and Cloud GPU Compute Infrastructure. Our cloud GPU platform and compute infrastructure is accelerating the build of AI factories and sovereign AI solutions, powering the next wave of accelerated computing adoption. For more information, visit www.sharonai.com.

Forward-Looking Statements

This press release may contain, and our officers and representatives may from time to time make, “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, which are not historical facts and which are not assurances of future performance. Forward-looking statements are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. In some cases you can identify these statements by forward-looking words such as “believe,” “may,” “will,” “estimate,” “continue,” “anticipate,” “intend,” “could,” “should,” “would,” “project,” “strategy,” “plan,” “expect,” “goal,” “seek,” “future,” “likely” or the negative or plural of these words or similar expressions or references to future periods. Forward-looking statements in this release include specific statements regarding the anticipated listing on the Nasdaq Capital Market and completion of the Offering. Examples of such forward-looking statements include but are not limited to express or implied statements regarding Sharon AI’s management team’s expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding:

• Service and product offerings;
• Receipt and use of proceeds;
• Acceleration of the deployment of assets;
• Acceleration of Sharon AI’s ability to engage with additional potential customers;
• Expansion of Sharon AI’s data center footprint;
• The firming of Sharon AI’s ability to formally lease additional capacity; and
• The strengthening of Sharon AI’s partner network.

In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. You are cautioned that such statements are not guarantees of future performance and that actual results or developments may differ materially from those set forth in these forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause actual results to differ materially from these forward-looking statements include, among others, all of the risks described in the “Risk Factors” section of the Registration Statement on Form S-1 declared effective by the SEC on February 17, 2026. Additional assumptions, risks and uncertainties are described in detail in our registration statements, reports and other filings with the SEC, which are available at www.sec.gov.

The forward-looking statements and other information contained in this news release are made as of the date hereof and Sharon AI does not undertake any obligation to update publicly or revise any forward-looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws.

Contacts

Sharon AI Media Enquiries:

Rosalyn Christian/Zachary Nevas

IMS Investor Relations

+1 203.972.9200

sharonai@imsinvestorrelations.com

Infiniti Dealers Rank Highest in 2026 Web Lead Response Study; AI and Automation Drive Industry Improvement




Infiniti Dealers Rank Highest in 2026 Web Lead Response Study; AI and Automation Drive Industry Improvement

• AI and automation: Customers received “perfect” responses more than half the time, a rate that has doubled in 5 years
• Risks of automation: When AI required human intervention, customer questions were twice as likely to go unanswered
• ChatGPT search results: Local customers for one in four dealers were sent to another dealer instead

AUSTIN, Texas–(BUSINESS WIRE)–Infiniti dealerships ranked highest in the 2026 Pied Piper PSI^® Internet Lead Effectiveness^® (ILE^®) Auto Industry Study, which measured and ranked responsiveness to sales leads submitted through dealership websites. Now in its fifteenth year, the study measured response to customer inquiries sent to 3,290 dealership websites representing all major auto brands. The average Infiniti dealership achieved a score of 82 out of 100, while the total industry averaged 71, an improvement of nine and six points respectively since last year’s study. Following Infiniti in the rankings were Cadillac, Honda, Acura, Subaru and Toyota.

Key Behaviors Leading Industrywide Improvement

Dealers improved primarily by increasing proactive, multichannel outreach and deploying smarter AI-powered automation for simple inquiries. The study found that 51% of auto dealers industrywide provided a “perfect response” (answered customer’s question fast and through multiple paths – fully utilizing emails, texts, and phone), twice the rate from five years ago.

Of the 33 brands studied this year, 26 improved, six declined, and three improved by more than 10 points. The Chevrolet brand experienced the largest improvement in average dealership ILE score, gaining 14 points over last year with an average score of 74 in 2026.

The following are key behavior differences this year causing the increase in score:

• More Utilization of Texting – Dealerships industrywide used texting to answer the customer’s question 54% of the time, compared to only 38% last year.

• Called More Customers – Three-quarters of online customers in this year’s study received a phone call from the dealership, compared to only two-thirds last year.

• Uptick in “Did Both” – Dealerships “did both,” answered the customer’s question by email and/or text and also phoned the customer, 62% of the time, compared to 49% last year.

AI-Powered Automation Raises Averages — But Hides Failures

Overreliance on AI-powered automation introduces two distinct types of digital handoff risk.

First, system-to-system breakdowns can occur when data fails to pass correctly between a dealership’s DMS, website, CRM, AI tools, and outbound communication systems such as email, texting, or phone platforms. Even when a response is technically “triggered,” incomplete data, misrouted inquiries, or failed communication integrations can prevent the customer’s actual question from being answered.

Second, when AI encounters a complex inquiry and escalates to dealership staff, human follow-through becomes the critical variable. If staff are not prepared to step in, or assume the system is handling the situation, the inquiry can stall without resolution. In this year’s study, evaluations requiring “Human Help” scored nine points lower on average, and customers were twice as likely to receive no personal response. These breakdowns are often invisible to traditional CRM dashboards, since systems may indicate activity even when the customer experience failed.

“Automation and AI have improved dealer responsiveness,” said Cameron O’Hagan, Vice President of Metrics and Analytics at Pied Piper. “But the greatest risk is in the handoffs; between systems and from AI to dealership staff. Teams assume automation is working and that someone will step in if it fails. Too often, no one does. Independent measurement such as ILE reveals those hidden breakdowns before they cost sales and erode brand trust.”

New ILE Measurement: Is ChatGPT Sending Your Shoppers Somewhere Else?

With ChatGPT and other AI-powered search tools rapidly becoming customers’ first stop in the vehicle shopping journey, Pied Piper measured how consistently dealerships appear, and how effectively they are presented, when local shoppers rely on AI as their guide.

To establish a benchmark, Pied Piper added a ChatGPT first step to its standard ILE^® evaluation process for a representative sample of dealerships. For each dealership, ChatGPT was prompted as a local customer from the target dealer’s zip code, asking about a specific vehicle known to be in the dealership’s inventory. The results reveal clear visibility gaps and opportunities for dealerships to track and improve how they appear in AI-driven searches.

• How prominently did ChatGPT rank dealerships?
  ChatGPT listed the target dealership first 77% of the time. The dealership appeared in the results but was not ranked first 14% of the time. In 9% of cases, the dealership was not mentioned at all – despite having the requested vehicle and being the shopper’s closest dealer.

• How complete was dealership’s vehicle information provided by ChatGPT?
  ChatGPT confirmed the vehicle was in inventory 70% of the time. Availability for a test drive was confirmed only 36% of the time. Just 30% of responses included a direct link to the exact vehicle on the dealership’s website.

For OEMs and dealer groups, this introduces a new layer of performance risk: even well-stocked, well-located dealers may be digitally invisible if their information is not structured for AI discovery.

Where Dealership Execution Falls Short — and How to Improve It

AI-powered automation has raised industry averages, with more customers receiving fast, complete responses to routine inquiries. However, the same digital handoff risks identified above continue to surface at the dealership level. Breakdowns between systems and unreliable follow-through when AI escalates to staff can quietly undermine performance. Because these failures are often invisible to traditional dashboards, understanding how AI systems and human teams actually perform together has become critical.

Three recurring execution gaps stand out: unreliable human follow-through when AI requires assistance, inconsistent multichannel follow-up, and uneven visibility in AI-driven search.

• Staff ready to step-in when AI needs help
  Dealers answer a web customer’s “typical” inquiry within 24 hours 78% of the time on average, often through automated AI messages. However, that rate drops to just 51% when customers ask more complex questions requiring thoughtful human engagement. Automation works for simple requests, but conversion depends on having trained staff ready to step in when AI reaches its limit.

• Respond through multiple channels
  Using email, text, and phone together significantly increases the likelihood that a response reaches the customer, overcoming barriers such as spam filters or ignored calls. Today, multichannel outreach occurs only 62% of the time, leaving nearly four in ten inquiries unnecessarily vulnerable to communication breakdowns outside the dealership’s control.

• Strengthen AI search presence
  When customers use ChatGPT to shop for vehicles, 77% of dealerships appear as the first local result, while 9% do not appear at all. Dealers can improve visibility by ensuring inventory, availability, pricing, and next steps are presented in clear, machine-readable website content that AI tools can easily interpret.

2026 Brand Performance Compared:

• “Answered Question” – How often did the brand’s dealerships email or text an answer to a website customer’s question?
  • More than 85% of the time on average: Infiniti, Cadillac, Honda
  • Less than 65% of the time on average: Buick, Mitsubishi, Fiat, Jaguar, Alfa Romeo

• “Phoned Customer” – How often did the brand’s dealerships respond by phone to a website customer’s inquiry?
  • More than 80% of the time on average: Infiniti, Subaru, Honda, Lincoln, Toyota
  • Less than 60% of the time on average: Mazda, Mitsubishi, Alfa Romeo, Genesis, Jaguar

• “Did both” – How often did the brand’s dealerships email or text an answer to a website customer’s question and also phone the customer?
  • More than 70% of the time on average: Infiniti, Subaru, MINI
  • Less than 45% of the time on average: Genesis, Mitsubishi, Alfa Romeo, Jaguar

• “Did Both Fast” – How often did the brand’s dealerships email or text an answer to a website customer’s question and also phone the customer all within 15 minutes?
  • More than 55% of the time on average: Infiniti, Acura, Hyundai
  • Less than 35% of the time on average: Genesis, Fiat, Jaguar, Audi

• “Failed to Respond” – How often did the website customer fail to receive a response of any type (email, text, or phone call)?
  • Less than 3% of the time on average: Infiniti, Acura, Toyota, Chevrolet
  • More than 10% of the time on average: Audi, Mazda, Alfa Romeo, Mitsubishi, Jaguar

Why Are ILE Scores Valuable to Measure?

Each brand’s ILE score represents an average of web inquiry response behaviors of their individual dealers, including top-performers and poor performers, each with scores ranging from 0-100.

“The effort to improve ILE scores is worth it,” said O’Hagan. “Historically, individual dealers who improve their ILE performance from scoring under 40 to scoring over 80 on average sell 50% more units from the same quantity of internet leads.”

In this year’s study, 51% of all dealerships measured scored above 80 (providing a quick and thorough personal response), while 14% of dealerships scored below 40 (failing to personally respond to their website customers). The “over 80” and “under 40” segments shifted +11% and -5% respectively since last year, and +25% and -21% over the past five years.

How Was This Study Conducted?

For each of the 3,290 ILE^® evaluations completed for this study, Pied Piper visited a dealership’s website during normal business hours and submitted a specific inquiry about a vehicle confirmed to be in inventory. Each inquiry included a unique customer name, email address, and telephone number.

Pied Piper then measured the dealership’s response over the following 24 hours, evaluating both speed and quality across all communication channels — including email, telephone, chat, and text message.

Each ILE evaluation includes more than 20 weighted measurements tied to proven best practices that are mathematically linked to higher sales conversion. These individual measurements combine to generate an overall ILE score ranging from 0 to 100. Brand scores reflect the average of the individual dealership ILE scores within each brand’s sample.

About Pied Piper Management Company, LLC

Austin, Texas based Pied Piper combines artificial intelligence and trained human evaluators into the proprietary Prospect Satisfaction Index^® (PSI^®). PSI^® measures how effectively each retail location follows proven sales and service best practices throughout a new customer’s journey, from initial website inquiry or phone call, through follow-up, appointment setting, and the in-store experience.

Manufacturers, franchisors, dealer groups, and other organizations use PSI^® reporting to drive measurable improvement across their retail networks. What do they consistently say? “We just didn’t know.” PSI^® reports act like a flashlight: As AI systems and human processes increasingly overlap, only ongoing independent measurement ensures customer experience improvements are real, consistent, and sustained.

For more than 15 years, Pied Piper has independently published annual industry studies that rank the omnichannel performance of brands and dealer groups. These studies track how industry performance changes over time and give current and prospective PSI^® clients a benchmark to understand how their own performance compares.

Other recent Pied Piper PSI^® industry studies include:

• 2026 Internet Lead Effectiveness^® (ILE^®) Compact Tractor Industry Study (Kubota ranked first)
• 2025 Service Scheduling Effectiveness^™ (SSE^™) Auto Industry Study measuring both online and phone efforts to schedule service (BMW’s MINI brand ranked first)
• 2025 Service Telephone Effectiveness^™ (SWE^™) Powersports Industry Study (BMW Motorrad ranked first)
• 2025 Telephone Lead Effectiveness^® (TLE^®) Pontoon Boat Industry Study (Bass Pro Shops’ Sun Tracker brand ranked first)

Learn more, request a presentation of industry study results, or request ongoing PSI^® measurement and reporting at www.piedpiperpsi.com.

This press release is provided for editorial use only, and information contained in this release may not be used for advertising or otherwise promoting brands mentioned in this release without specific, written permission from Pied Piper Management Co., LLC.

Contacts

Contact at Pied Piper:

Ryan Scott, rscott@piedpipermc.com (831) 648-1075

Infiniti Dealers Rank Highest in 2026 Web Lead Response Study; AI and Automation Drive Industry Improvement




Infiniti Dealers Rank Highest in 2026 Web Lead Response Study; AI and Automation Drive Industry Improvement

• AI and automation: Customers received “perfect” responses more than half the time, a rate that has doubled in 5 years
• Risks of automation: When AI required human intervention, customer questions were twice as likely to go unanswered
• ChatGPT search results: Local customers for one in four dealers were sent to another dealer instead

AUSTIN, Texas–(BUSINESS WIRE)–Infiniti dealerships ranked highest in the 2026 Pied Piper PSI^® Internet Lead Effectiveness^® (ILE^®) Auto Industry Study, which measured and ranked responsiveness to sales leads submitted through dealership websites. Now in its fifteenth year, the study measured response to customer inquiries sent to 3,290 dealership websites representing all major auto brands. The average Infiniti dealership achieved a score of 82 out of 100, while the total industry averaged 71, an improvement of nine and six points respectively since last year’s study. Following Infiniti in the rankings were Cadillac, Honda, Acura, Subaru and Toyota.

Key Behaviors Leading Industrywide Improvement

Dealers improved primarily by increasing proactive, multichannel outreach and deploying smarter AI-powered automation for simple inquiries. The study found that 51% of auto dealers industrywide provided a “perfect response” (answered customer’s question fast and through multiple paths – fully utilizing emails, texts, and phone), twice the rate from five years ago.

Of the 33 brands studied this year, 26 improved, six declined, and three improved by more than 10 points. The Chevrolet brand experienced the largest improvement in average dealership ILE score, gaining 14 points over last year with an average score of 74 in 2026.

The following are key behavior differences this year causing the increase in score:

• More Utilization of Texting – Dealerships industrywide used texting to answer the customer’s question 54% of the time, compared to only 38% last year.

• Called More Customers – Three-quarters of online customers in this year’s study received a phone call from the dealership, compared to only two-thirds last year.

• Uptick in “Did Both” – Dealerships “did both,” answered the customer’s question by email and/or text and also phoned the customer, 62% of the time, compared to 49% last year.

AI-Powered Automation Raises Averages — But Hides Failures

Overreliance on AI-powered automation introduces two distinct types of digital handoff risk.

First, system-to-system breakdowns can occur when data fails to pass correctly between a dealership’s DMS, website, CRM, AI tools, and outbound communication systems such as email, texting, or phone platforms. Even when a response is technically “triggered,” incomplete data, misrouted inquiries, or failed communication integrations can prevent the customer’s actual question from being answered.

Second, when AI encounters a complex inquiry and escalates to dealership staff, human follow-through becomes the critical variable. If staff are not prepared to step in, or assume the system is handling the situation, the inquiry can stall without resolution. In this year’s study, evaluations requiring “Human Help” scored nine points lower on average, and customers were twice as likely to receive no personal response. These breakdowns are often invisible to traditional CRM dashboards, since systems may indicate activity even when the customer experience failed.

“Automation and AI have improved dealer responsiveness,” said Cameron O’Hagan, Vice President of Metrics and Analytics at Pied Piper. “But the greatest risk is in the handoffs; between systems and from AI to dealership staff. Teams assume automation is working and that someone will step in if it fails. Too often, no one does. Independent measurement such as ILE reveals those hidden breakdowns before they cost sales and erode brand trust.”

New ILE Measurement: Is ChatGPT Sending Your Shoppers Somewhere Else?

With ChatGPT and other AI-powered search tools rapidly becoming customers’ first stop in the vehicle shopping journey, Pied Piper measured how consistently dealerships appear, and how effectively they are presented, when local shoppers rely on AI as their guide.

To establish a benchmark, Pied Piper added a ChatGPT first step to its standard ILE^® evaluation process for a representative sample of dealerships. For each dealership, ChatGPT was prompted as a local customer from the target dealer’s zip code, asking about a specific vehicle known to be in the dealership’s inventory. The results reveal clear visibility gaps and opportunities for dealerships to track and improve how they appear in AI-driven searches.

• How prominently did ChatGPT rank dealerships?
  ChatGPT listed the target dealership first 77% of the time. The dealership appeared in the results but was not ranked first 14% of the time. In 9% of cases, the dealership was not mentioned at all – despite having the requested vehicle and being the shopper’s closest dealer.

• How complete was dealership’s vehicle information provided by ChatGPT?
  ChatGPT confirmed the vehicle was in inventory 70% of the time. Availability for a test drive was confirmed only 36% of the time. Just 30% of responses included a direct link to the exact vehicle on the dealership’s website.

For OEMs and dealer groups, this introduces a new layer of performance risk: even well-stocked, well-located dealers may be digitally invisible if their information is not structured for AI discovery.

Where Dealership Execution Falls Short — and How to Improve It

AI-powered automation has raised industry averages, with more customers receiving fast, complete responses to routine inquiries. However, the same digital handoff risks identified above continue to surface at the dealership level. Breakdowns between systems and unreliable follow-through when AI escalates to staff can quietly undermine performance. Because these failures are often invisible to traditional dashboards, understanding how AI systems and human teams actually perform together has become critical.

Three recurring execution gaps stand out: unreliable human follow-through when AI requires assistance, inconsistent multichannel follow-up, and uneven visibility in AI-driven search.

• Staff ready to step-in when AI needs help
  Dealers answer a web customer’s “typical” inquiry within 24 hours 78% of the time on average, often through automated AI messages. However, that rate drops to just 51% when customers ask more complex questions requiring thoughtful human engagement. Automation works for simple requests, but conversion depends on having trained staff ready to step in when AI reaches its limit.

• Respond through multiple channels
  Using email, text, and phone together significantly increases the likelihood that a response reaches the customer, overcoming barriers such as spam filters or ignored calls. Today, multichannel outreach occurs only 62% of the time, leaving nearly four in ten inquiries unnecessarily vulnerable to communication breakdowns outside the dealership’s control.

• Strengthen AI search presence
  When customers use ChatGPT to shop for vehicles, 77% of dealerships appear as the first local result, while 9% do not appear at all. Dealers can improve visibility by ensuring inventory, availability, pricing, and next steps are presented in clear, machine-readable website content that AI tools can easily interpret.

2026 Brand Performance Compared:

• “Answered Question” – How often did the brand’s dealerships email or text an answer to a website customer’s question?
  • More than 85% of the time on average: Infiniti, Cadillac, Honda
  • Less than 65% of the time on average: Buick, Mitsubishi, Fiat, Jaguar, Alfa Romeo

• “Phoned Customer” – How often did the brand’s dealerships respond by phone to a website customer’s inquiry?
  • More than 80% of the time on average: Infiniti, Subaru, Honda, Lincoln, Toyota
  • Less than 60% of the time on average: Mazda, Mitsubishi, Alfa Romeo, Genesis, Jaguar

• “Did both” – How often did the brand’s dealerships email or text an answer to a website customer’s question and also phone the customer?
  • More than 70% of the time on average: Infiniti, Subaru, MINI
  • Less than 45% of the time on average: Genesis, Mitsubishi, Alfa Romeo, Jaguar

• “Did Both Fast” – How often did the brand’s dealerships email or text an answer to a website customer’s question and also phone the customer all within 15 minutes?
  • More than 55% of the time on average: Infiniti, Acura, Hyundai
  • Less than 35% of the time on average: Genesis, Fiat, Jaguar, Audi

• “Failed to Respond” – How often did the website customer fail to receive a response of any type (email, text, or phone call)?
  • Less than 3% of the time on average: Infiniti, Acura, Toyota, Chevrolet
  • More than 10% of the time on average: Audi, Mazda, Alfa Romeo, Mitsubishi, Jaguar

Why Are ILE Scores Valuable to Measure?

Each brand’s ILE score represents an average of web inquiry response behaviors of their individual dealers, including top-performers and poor performers, each with scores ranging from 0-100.

“The effort to improve ILE scores is worth it,” said O’Hagan. “Historically, individual dealers who improve their ILE performance from scoring under 40 to scoring over 80 on average sell 50% more units from the same quantity of internet leads.”

In this year’s study, 51% of all dealerships measured scored above 80 (providing a quick and thorough personal response), while 14% of dealerships scored below 40 (failing to personally respond to their website customers). The “over 80” and “under 40” segments shifted +11% and -5% respectively since last year, and +25% and -21% over the past five years.

How Was This Study Conducted?

For each of the 3,290 ILE^® evaluations completed for this study, Pied Piper visited a dealership’s website during normal business hours and submitted a specific inquiry about a vehicle confirmed to be in inventory. Each inquiry included a unique customer name, email address, and telephone number.

Pied Piper then measured the dealership’s response over the following 24 hours, evaluating both speed and quality across all communication channels — including email, telephone, chat, and text message.

Each ILE evaluation includes more than 20 weighted measurements tied to proven best practices that are mathematically linked to higher sales conversion. These individual measurements combine to generate an overall ILE score ranging from 0 to 100. Brand scores reflect the average of the individual dealership ILE scores within each brand’s sample.

About Pied Piper Management Company, LLC

Austin, Texas based Pied Piper combines artificial intelligence and trained human evaluators into the proprietary Prospect Satisfaction Index^® (PSI^®). PSI^® measures how effectively each retail location follows proven sales and service best practices throughout a new customer’s journey, from initial website inquiry or phone call, through follow-up, appointment setting, and the in-store experience.

Manufacturers, franchisors, dealer groups, and other organizations use PSI^® reporting to drive measurable improvement across their retail networks. What do they consistently say? “We just didn’t know.” PSI^® reports act like a flashlight: As AI systems and human processes increasingly overlap, only ongoing independent measurement ensures customer experience improvements are real, consistent, and sustained.

For more than 15 years, Pied Piper has independently published annual industry studies that rank the omnichannel performance of brands and dealer groups. These studies track how industry performance changes over time and give current and prospective PSI^® clients a benchmark to understand how their own performance compares.

Other recent Pied Piper PSI^® industry studies include:

• 2026 Internet Lead Effectiveness^® (ILE^®) Compact Tractor Industry Study (Kubota ranked first)
• 2025 Service Scheduling Effectiveness^™ (SSE^™) Auto Industry Study measuring both online and phone efforts to schedule service (BMW’s MINI brand ranked first)
• 2025 Service Telephone Effectiveness^™ (SWE^™) Powersports Industry Study (BMW Motorrad ranked first)
• 2025 Telephone Lead Effectiveness^® (TLE^®) Pontoon Boat Industry Study (Bass Pro Shops’ Sun Tracker brand ranked first)

Learn more, request a presentation of industry study results, or request ongoing PSI^® measurement and reporting at www.piedpiperpsi.com.

This press release is provided for editorial use only, and information contained in this release may not be used for advertising or otherwise promoting brands mentioned in this release without specific, written permission from Pied Piper Management Co., LLC.

Contacts

Contact at Pied Piper:

Ryan Scott, rscott@piedpipermc.com (831) 648-1075

Asana Now Available in the AWS Middle East (UAE) Region to Support Enterprise and Government Customers with Local Data Residency




Asana Now Available in the AWS Middle East (UAE) Region to Support Enterprise and Government Customers with Local Data Residency

AI-powered work management platform now available with local data hosting and low-latency

DUBAI, United Arab Emirates–(BUSINESS WIRE)–Asana, Inc. (NYSE: ASAN), a leading work management platform for human + AI collaboration, is now available in the AWS Middle East (UAE) Region.

Asana is one of the first enterprise collaborative work management platforms to offer its services on AWS Marketplace. Its availability in the AWS Middle East (UAE) Region can help regulated and public sector organizations address data residency preferences.

AI is accelerating how work gets done, but adoption depends on a strong foundation of trust, security, and governance.

“We’re seeing organizations across the Middle East modernize how they work—and these aren’t small projects,” said Veit Brücker, General Manager, EMEA at Asana. “Many are running complex, cross-agency transformation initiatives – from digital government programs to large-scale infrastructure projects. Work at this scale needs clear ownership, real-time visibility, and coordination across dozens of teams globally. But for programs this important, data location isn’t negotiable. Built on AWS’s secure infrastructure, Asana can confidently support organizations to scale AI-powered ways of managing workflows while continuing to collaborate across teams.”

Supporting Regional Transformation

“Asana’s availability in the AWS Middle East (UAE) Region is a meaningful step for organizations building technology-driven operations,” said Jad Halaoui, Co-founder and COO, Washmen. “For Washmen, founded on the belief that traditional services can be reimagined through technology, local hosting strengthens the speed, reliability, and scalability needed to support a sophisticated operational ecosystem.

“With infrastructure now closer to the market, Washmen can further evolve its technology-driven operations, expand intelligent automation across its service ecosystem, and continue delivering an unparalleled experience to its customers.”

Enterprise-Grade Security and Governance

The AWS Middle East (UAE) Region includes enterprise-grade security controls such as encryption, role-based access management, and audit capabilities that integrate with existing IT and compliance frameworks.

Asana works with a highly-rated and growing partner ecosystem in the region to support customer implementations and compliance requirements.

To learn more about regional data residency options, contact our Sales team.

About Asana

Asana is a work management platform that helps teams coordinate their work, from daily tasks to strategic initiatives. Over 170,000 organizations including Accenture, Amazon, Anthropic and Suzuki use Asana to manage projects, align teams, and track progress toward goals. The platform combines AI capabilities with human collaboration to help organizations get work done. To learn more, visit www.asana.com.

Contacts

Press Inquiries
Claire Cameron-Johnson

press@asana.com

Asana Now Available in the AWS Middle East (UAE) Region to Support Enterprise and Government Customers with Local Data Residency




Asana Now Available in the AWS Middle East (UAE) Region to Support Enterprise and Government Customers with Local Data Residency

AI-powered work management platform now available with local data hosting and low-latency

DUBAI, United Arab Emirates–(BUSINESS WIRE)–Asana, Inc. (NYSE: ASAN), a leading work management platform for human + AI collaboration, is now available in the AWS Middle East (UAE) Region.

Asana is one of the first enterprise collaborative work management platforms to offer its services on AWS Marketplace. Its availability in the AWS Middle East (UAE) Region can help regulated and public sector organizations address data residency preferences.

AI is accelerating how work gets done, but adoption depends on a strong foundation of trust, security, and governance.

“We’re seeing organizations across the Middle East modernize how they work—and these aren’t small projects,” said Veit Brücker, General Manager, EMEA at Asana. “Many are running complex, cross-agency transformation initiatives – from digital government programs to large-scale infrastructure projects. Work at this scale needs clear ownership, real-time visibility, and coordination across dozens of teams globally. But for programs this important, data location isn’t negotiable. Built on AWS’s secure infrastructure, Asana can confidently support organizations to scale AI-powered ways of managing workflows while continuing to collaborate across teams.”

Supporting Regional Transformation

“Asana’s availability in the AWS Middle East (UAE) Region is a meaningful step for organizations building technology-driven operations,” said Jad Halaoui, Co-founder and COO, Washmen. “For Washmen, founded on the belief that traditional services can be reimagined through technology, local hosting strengthens the speed, reliability, and scalability needed to support a sophisticated operational ecosystem.

“With infrastructure now closer to the market, Washmen can further evolve its technology-driven operations, expand intelligent automation across its service ecosystem, and continue delivering an unparalleled experience to its customers.”

Enterprise-Grade Security and Governance

The AWS Middle East (UAE) Region includes enterprise-grade security controls such as encryption, role-based access management, and audit capabilities that integrate with existing IT and compliance frameworks.

Asana works with a highly-rated and growing partner ecosystem in the region to support customer implementations and compliance requirements.

To learn more about regional data residency options, contact our Sales team.

About Asana

Asana is a work management platform that helps teams coordinate their work, from daily tasks to strategic initiatives. Over 170,000 organizations including Accenture, Amazon, Anthropic and Suzuki use Asana to manage projects, align teams, and track progress toward goals. The platform combines AI capabilities with human collaboration to help organizations get work done. To learn more, visit www.asana.com.

Contacts

Press Inquiries
Claire Cameron-Johnson

press@asana.com

SheltonAI Announces Ali Tariq as Head of Middle East




SheltonAI Announces Ali Tariq as Head of Middle East

SAN FRANCISCO–(BUSINESS WIRE)–SheltonAI, the institutional AI platform for pensions & sovereign wealth funds, announces the appointment of Ali Tariq as Managing Director and Head of Middle East.

In this role, Ali will lead the firm’s Middle East strategy and expansion, deepening partnerships with institutional investors across the GCC and broader MENA region, including sovereign wealth funds, pensions, and family offices.

Ali brings several years of experience across private markets, having previously served as a senior manager on the investment team at GPSSA, the Federal Pension Fund of the UAE, in Abu Dhabi. Prior to that, Ali was a Vice President at Morgan Stanley in London and New York.

“The Middle East has a highly sophisticated network of institutions, with our mission to support pensioners & stakeholders across the investing spectrum, the GCC is one of the most important global regions for our company,” said Harrison Shaw, CEO of SheltonAI.

“Institutional investors in the region are setting the global pace in private markets, pairing scale with a rising bar for governance, transparency, and decision-grade insight,” said Ali Tariq, Managing Director and Head of Middle East, SheltonAI. “I’m thrilled to join SheltonAI, which is at the forefront of applying AI to private markets. I look forward to working with clients to unlock insights, scale processes, and drive stronger outcomes across private markets.”

About SheltonAI

SheltonAI is an AI-driven analytics and governance platform built for institutional investors in private markets. The company serves pension funds, sovereign wealth funds, and endowments across the U.S., Canada, Australia, Europe, the Middle East, and Asia.

SheltonAI’s platform provides daily and on-demand valuation signals, audit-ready governance, fee and carry validation, and real-time portfolio insights across private equity, private credit, and related asset classes.

Contacts

media@sheltonai.com

SheltonAI Announces Ali Tariq as Head of Middle East




SheltonAI Announces Ali Tariq as Head of Middle East

SAN FRANCISCO–(BUSINESS WIRE)–SheltonAI, the institutional AI platform for pensions & sovereign wealth funds, announces the appointment of Ali Tariq as Managing Director and Head of Middle East.

In this role, Ali will lead the firm’s Middle East strategy and expansion, deepening partnerships with institutional investors across the GCC and broader MENA region, including sovereign wealth funds, pensions, and family offices.

Ali brings several years of experience across private markets, having previously served as a senior manager on the investment team at GPSSA, the Federal Pension Fund of the UAE, in Abu Dhabi. Prior to that, Ali was a Vice President at Morgan Stanley in London and New York.

“The Middle East has a highly sophisticated network of institutions, with our mission to support pensioners & stakeholders across the investing spectrum, the GCC is one of the most important global regions for our company,” said Harrison Shaw, CEO of SheltonAI.

“Institutional investors in the region are setting the global pace in private markets, pairing scale with a rising bar for governance, transparency, and decision-grade insight,” said Ali Tariq, Managing Director and Head of Middle East, SheltonAI. “I’m thrilled to join SheltonAI, which is at the forefront of applying AI to private markets. I look forward to working with clients to unlock insights, scale processes, and drive stronger outcomes across private markets.”

About SheltonAI

SheltonAI is an AI-driven analytics and governance platform built for institutional investors in private markets. The company serves pension funds, sovereign wealth funds, and endowments across the U.S., Canada, Australia, Europe, the Middle East, and Asia.

SheltonAI’s platform provides daily and on-demand valuation signals, audit-ready governance, fee and carry validation, and real-time portfolio insights across private equity, private credit, and related asset classes.

Contacts

media@sheltonai.com

11:11 Systems Successfully Completes Acquisition of Digital Sense




11:11 Systems Successfully Completes Acquisition of Digital Sense

Acquisition cements 11:11’s position as leading sovereign cloud provider in Australia

FAIRFIELD, N.J.–(BUSINESS WIRE)–#1111systems—11:11 Systems (“11:11”), a leading managed infrastructure solutions provider, today announced the acquisition of Digital Sense, a prominent Brisbane-based, high-quality cloud and managed services provider previously owned by Aussie Broadband.

Recent changes made by Broadcom to the VMware Cloud Service Provider (“VCSP”) ecosystem have optimised the number of authorised VMware partners. For Aussie Broadband, this industry shift coincided with the launch of their “Look-to-28” strategy, which clearly classifies the organisation as a telecommunications provider rather than a broad technology company. Consequently, the decision was made to divest the Digital Sense cloud business to ensure customers continued access to best-in-class VMware cloud infrastructure.

“Across the globe, 11:11 has been working closely with cloud service providers to help customers stay secure, compliant and perform at their best as the market evolves,” said Brett Diamond, CEO, 11:11 Systems. “Digital Sense has earned a standout reputation across Australia for delivering high-performance cloud solutions, and we’re excited to welcome their customers to 11:11’s resilient cloud platform—providing the stability they need today and the innovation to keep moving forward.”

Over the past several years, 11:11 Systems has acquired multiple VMware-based businesses — including iland Cloud, Green Cloud Defense, Unitas Global, Sungard Availability Services, Faction and Ntirety — establishing an unmatched foundation of operational expertise and commercial insight. The acquisition of Digital Sense marks 11:11’s seventh purchase of a former VMware CSP and tenth acquisition overall.

“This acquisition reflects 11:11 Systems’ continued commitment to growth and investment across APAC,” said Marc Beder, general manager, APAC, 11:11 Systems. “By bringing Digital Sense into 11:11, we’re expanding our presence in Australia while strengthening our ability to deliver world-class cloud and managed services throughout the region. We’re excited to build on Digital Sense’s strong reputation and continue providing innovative, secure and scalable solutions that evolve with business needs in the region.”

Through its global cloud platform and partner-first approach, 11:11 Systems continues to deliver innovative cloud, connectivity, backup, cyber and disaster recovery and security solutions that empower global customers and providers to operate efficiently and scale profitably.

“With the investment required to remain competitive in the cloud space and the upcoming changes to the partner ecosystem in 2027, we determined that 11:11 Systems was the right home for our cloud business,” said Ben O’Shea, GM of Transformation & Cloud at Aussie Broadband. “Their deep specialisation in VMware environments ensures our customers will receive the strategic focus they deserve, while we sharpen our focus on our telecommunications strengths.”

About 11:11 Systems

11:11 Systems is a managed infrastructure solutions provider that empowers customers to modernise, protect and manage mission-critical applications and data, leveraging 11:11’s resilient cloud platform. Learn more at 11:11 Systems.

Contacts

Media Contact

Rolyn Parker

news@1111systems.com
415.312.2982

11:11 Systems Successfully Completes Acquisition of Digital Sense




11:11 Systems Successfully Completes Acquisition of Digital Sense

Acquisition cements 11:11’s position as leading sovereign cloud provider in Australia

FAIRFIELD, N.J.–(BUSINESS WIRE)–#1111systems—11:11 Systems (“11:11”), a leading managed infrastructure solutions provider, today announced the acquisition of Digital Sense, a prominent Brisbane-based, high-quality cloud and managed services provider previously owned by Aussie Broadband.

Recent changes made by Broadcom to the VMware Cloud Service Provider (“VCSP”) ecosystem have optimised the number of authorised VMware partners. For Aussie Broadband, this industry shift coincided with the launch of their “Look-to-28” strategy, which clearly classifies the organisation as a telecommunications provider rather than a broad technology company. Consequently, the decision was made to divest the Digital Sense cloud business to ensure customers continued access to best-in-class VMware cloud infrastructure.

“Across the globe, 11:11 has been working closely with cloud service providers to help customers stay secure, compliant and perform at their best as the market evolves,” said Brett Diamond, CEO, 11:11 Systems. “Digital Sense has earned a standout reputation across Australia for delivering high-performance cloud solutions, and we’re excited to welcome their customers to 11:11’s resilient cloud platform—providing the stability they need today and the innovation to keep moving forward.”

Over the past several years, 11:11 Systems has acquired multiple VMware-based businesses — including iland Cloud, Green Cloud Defense, Unitas Global, Sungard Availability Services, Faction and Ntirety — establishing an unmatched foundation of operational expertise and commercial insight. The acquisition of Digital Sense marks 11:11’s seventh purchase of a former VMware CSP and tenth acquisition overall.

“This acquisition reflects 11:11 Systems’ continued commitment to growth and investment across APAC,” said Marc Beder, general manager, APAC, 11:11 Systems. “By bringing Digital Sense into 11:11, we’re expanding our presence in Australia while strengthening our ability to deliver world-class cloud and managed services throughout the region. We’re excited to build on Digital Sense’s strong reputation and continue providing innovative, secure and scalable solutions that evolve with business needs in the region.”

Through its global cloud platform and partner-first approach, 11:11 Systems continues to deliver innovative cloud, connectivity, backup, cyber and disaster recovery and security solutions that empower global customers and providers to operate efficiently and scale profitably.

“With the investment required to remain competitive in the cloud space and the upcoming changes to the partner ecosystem in 2027, we determined that 11:11 Systems was the right home for our cloud business,” said Ben O’Shea, GM of Transformation & Cloud at Aussie Broadband. “Their deep specialisation in VMware environments ensures our customers will receive the strategic focus they deserve, while we sharpen our focus on our telecommunications strengths.”

About 11:11 Systems

11:11 Systems is a managed infrastructure solutions provider that empowers customers to modernise, protect and manage mission-critical applications and data, leveraging 11:11’s resilient cloud platform. Learn more at 11:11 Systems.

Contacts

Media Contact

Rolyn Parker

news@1111systems.com
415.312.2982