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The Tech Ascension Awards is proud to announce the winners of its 2026 AI Awards, recognizing the companies and solutions advancing enterprise AI, agentic automation, software development, cybersecurity, financial operations, workforce productivity, data infrastructure and small-business technology. This year’s program drew an unprecedented volume submissions, making the 2026 recipients a selective group representing the strongest products and solutions.


This year’s recipients reflect an AI market moving beyond general-purpose assistants toward specialized systems that can analyze business context, coordinate complex workflows, take governed action and produce measurable operational outcomes. The recognized products demonstrate how artificial intelligence is being applied to challenges ranging from contract analysis and software security to military planning, network operations, financial reconciliation and fleet management.


Tech Ascension's 2026 AI Awards honor organizations helping enterprises, government agencies, technology teams and small and midsized businesses deploy AI responsibly and effectively. Recipients were selected based on innovation, competitive differentiation, market relevance and their ability to deliver measurable business and customer outcomes.


2026 AI Award Winners AI-Powered SMB Solution of the Year


Ford Motor Company was recognized for Ford Pro AI, which gives fleet managers verified, customer-specific answers to operational questions posed in plain language. Its multi-agent architecture validates responses against each operator’s structured fleet data and draws on Ford’s commercial-vehicle and diagnostic expertise. Fleet managers report reclaiming 40% or more of their weekly time while gaining faster insight into maintenance, driver safety, fuel use and vehicle health.


Unanet was honored for GrowthStudio, an AI-forward growth platform created for small and midsized government contractors. The platform supports opportunity discovery, evaluation, proposal development, submission and relationship management while replacing disconnected tools and manual workflows. Customer data cited by Unanet shows a 70% reduction in average RFP time to draft, 50% lower proposal-generation costs and a 20% increase in proposal capacity without additional headcount.

AI-powered Enterprise Solution of the Year

Agiloft was recognized for Agiloft Astra, a contracts AI platform that gives legal, procurement, finance and sales teams direct access to intelligence contained in enterprise agreements. Astra combines playbook-driven contract review, AI-assisted intake, guided updates and natural-language portfolio analysis to reduce repetitive work and improve consistency. The solution also makes enterprise contract intelligence easier to adopt through a free starting tier and an average time to meaningful use of approximately five minutes.


Apiiro was honored for Guardian Agent, an enterprise security solution designed to prevent insecure and noncompliant code before it is generated by AI coding tools. The agent is grounded in Apiiro’s Software Graph and Risk Graph, giving it organization-specific context across code, APIs, infrastructure, data flows and security policies. By shifting application security from post-development scanning to proactive guidance, Guardian Agent helps enterprises preserve AI development speed while reducing vulnerability backlogs and downstream remediation.


BackBox was recognized for Kilter AI, the intelligence layer of its network cyber resilience platform. The solution combines enriched vulnerability intelligence with no-code automation across more than 180 vendors and thousands of device types while keeping human operators in control of every recommended action. Kilter AI helps NetSecOps teams identify relevant exposures, develop remediation plans and execute routine work faster without introducing the risks associated with fully autonomous infrastructure changes.


Businessolver was honored for Sofia, an intelligence layer that connects benefits enrollment, employee service, claims information and HR insights. Sofia uses behavioral, eligibility and life-event signals to give employees timely guidance while helping HR teams identify trends and emerging issues. Businessolver reports that 85% of Sofia chats remain resolved after seven days, 74% of benefits questions are handled through self-service and nearly one-third of conversations take place outside normal business hours.


Cyabra was recognized for helping organizations distinguish authentic online engagement from coordinated manipulation. Its narrative intelligence technology combines direct source-data collection with behavioral, authenticity and network analysis to show how narratives spread and which accounts are driving them. Automated alerts, coordinated-activity detection and forensic reports reduce manual investigation and provide communications, security and executive teams with evidence for faster decisions.


Onebrief was honored for bringing AI-powered planning, shared command workflows and integrated wargaming into a secure military environment. Human-governed agents help military staffs develop and compare courses of action while keeping plans, maps, orders, approvals and operational data synchronized. Users report planning-cycle reductions of up to 90%, a 50% increase in information accuracy and the elimination of approximately 20 hours of redundant work each week per planning team.


Penguin Solutions was recognized for OriginAI, a portfolio of validated reference designs for scalable AI training and inference infrastructure. OriginAI combines compute, memory, storage, networking, ClusterWareAI software and lifecycle services informed by the company’s experience deploying and managing approximately 100,000 GPUs. Its repeatable designs help organizations accelerate production deployments, reduce integration risk and achieve GPU efficiency above 95%.


Phison Electronics was honored for Pascari aiDAPTIV, an AI memory-management solution that expands effective capacity across GPU or unified memory, system memory and high-endurance flash. Workload-aware management supports larger models, KV-cache reuse, mixture-of-experts workloads and longer agentic sessions on systems with constrained primary memory. The technology can improve hardware utilization, reduce repeated processing and allow organizations to run private AI workloads locally while controlling infrastructure costs.


Planview was recognized for Planview Anvi, an enterprise AI solution that connects strategic priorities with real-time portfolio and execution data. Its Outcome Intelligence Graph reveals dependencies, resource constraints, financial pressures and delivery risks across projects and workflows. The conversational interface reduces manual reporting and gives teams immediate access to governed portfolio insights, with users submitting approximately 60,000 questions each month.


Progress Software was honored for Progress Data Platform, an AI-ready enterprise platform that brings together structured and unstructured data, semantic context, governance, decision orchestration and system connectivity. The platform helps organizations ground models and agents in trusted business information so results are more accurate, relevant and explainable. Progress cited customer outcomes including research workflows reduced from hours to minutes, significant accuracy improvements and more than $30 million in estimated savings from a large financial-services deployment.


Rimini Street was recognized for an enterprise solution combining AI-powered ERP execution with cross-platform agent governance. Rimini Agentic UX adds intelligent workflows over existing ERP investments, while Rimini Govern for AI provides centralized visibility, security, compliance and performance controls. Early deployments reported reductions in approval and order-cycle times, data accuracy above 95% and complete audit readiness without requiring organizations to replace their existing ERP systems.


AI-powered Enterprise Agent Solution of the Year


AttackIQ was recognized for AVA Agentic OS, an agentic operating system created for continuous threat exposure management. The platform coordinates specialized AI across threat analysis, adversarial testing, detection validation and remediation rather than automating isolated security tasks. By connecting threat intelligence with evidence of control effectiveness, AVA helps enterprises identify exploitable attack paths and prioritize risks that have been demonstrated to affect their environments.


BlackLine was honored for its Agentic Financial Operations Platform, which introduces a governed digital workforce for continuous finance and accounting processes. Studio360 provides the trusted data and orchestration foundation, while Verity AI agents support reconciliation, transaction matching, cash application, collections and variance analysis. BlackLine reports reductions of up to 92% in reconciliation preparation time and up to three days removed from the financial close process.


Harness was recognized for extending agentic automation across the software delivery lifecycle, including deployment, security testing, runtime protection and cost management. Its agents share context through an SDLC Knowledge Graph and execute within customer environments using established identities, permissions, policies, approvals and rollback controls. The platform allows organizations to retain the development speed created by AI coding tools while governing the production work that follows.


Lenovo was honored for its Super-Agent solution, which connects customer conversations, multimodal diagnosis and repair execution within a single AI-led service experience. The platform preserves context that was previously lost between chat, contact centers and field-service workflows, then automates work-order creation and repair processes. Lenovo reports that the solution reduced service lead time from 10 working hours to 10 minutes while enabling 75% touchless repair automation.


LogicGate was recognized for its GRC Agents, which apply governed agentic automation to risk and compliance operations. Each agent works within a defined set of skills, presents its reasoning and keeps practitioners responsible for reviewing and approving actions. Customers project thousands of hours in annual savings and significantly faster assessment cycles while preserving the auditability and regulatory defensibility required for governance, risk and compliance programs.


Mezmo was honored for AURA, an open-source agent harness purpose-built for site reliability engineering in production environments. The platform combines multi-agent orchestration, operational context, validation loops, human approvals, persistent memory and end-to-end tracing while allowing teams to retain their preferred models, tools and infrastructure. Mezmo customer Rescale reduced problem identification and resolution from 15 to 30 minutes to less than five minutes.


Parloa was recognized for its AI Agent Management Platform, which manages the complete enterprise AI-agent lifecycle in one environment. AMP supports agent design, integration, simulation, deployment and continuous optimization, while Agent Composition allows organizations to reuse agents across channels, markets and more than 130 languages. Customers reported an 80% reduction in human escalations at Booking.com and a 90% reduction in switchboard workload at BarmeniaGothaer.


PhoenixAI was honored for giving autonomous agents sub-second analytical access to live enterprise data at high concurrency. Its database supports complex joins on normalized schemas, integrates real-time streaming information with historical lakehouse data and applies enterprise access controls. Customer results include a 90% cost reduction on a six-petabyte migration and substantial improvements in node requirements, storage consumption and query latency.


Rocket Software was recognized for Rocket EVA, an agentic platform created for mission-critical mainframe, distributed and cloud environments. Identity-aware execution, policy controls and immutable audit trails are combined with a context graph that traces incidents across applications, infrastructure, transactions, databases and jobs. EVA reduces manual investigation and helps operations teams isolate root causes and prioritize business-critical failures more quickly.


Rubrik was honored for Rubrik AI, which unifies autonomous reasoning across enterprise data, identity configurations and deployed AI agents. Its agentic guardrails make actions auditable, attributable and reversible, while orchestrated workflows automate recovery across complex environments. Rubrik reports that the platform can compress recovery sequences from weeks to minutes and eliminate hundreds of hours of manual scripting and cross-team coordination.


Software Toolbox was recognized for jonjon.ai, a generative AI assistant grounded in nearly three decades of industrial-connectivity knowledge and support experience. The solution provides source-cited troubleshooting for controls engineers and operational technology teams while working directly within the company’s support process. Software Toolbox reports a 63% decline in monthly support tickets, 60% end-to-end automation and first-response times reduced from approximately 31 minutes to about one minute.


Sonar was honored for SonarQube Remediation Agent, which converts verified code-quality and security findings into verified software fixes. Its closed-loop process checks each proposed change against SonarQube analysis and allows engineering teams to assign entire categories of technical debt to the agent. The solution helps organizations reduce historical backlogs, improve pull-request velocity and recover developer capacity without adding headcount.


TrustLogix was recognized for TrustAI, a unified control plane that governs how AI agents, copilots, MCP tools, applications and machine identities access enterprise systems and sensitive data. Its Guardian Agent monitors other agents for behavioral drift, while intent-based access control evaluates why a request is being made and preserves the originating user’s identity and context. Customers report access provisioning reduced from weeks to minutes and remediation times improved by as much as 90%.


Tufin was honored for grounding agentic network-security operations in a continuously updated Dynamic Network Connectivity Graph. Its vendor-neutral control plane reasons across firewalls, cloud environments, SASE, SD-WAN and segmentation systems to assess actual reachability and policy alignment. The platform reduces repetitive compliance and policy work while helping security teams understand risk and automate changes with appropriate human oversight.


VitalEdge Technologies was recognized for VitalityAI, an operational intelligence platform that embeds coordinated, industry-specific agents into equipment-dealership and rental workflows. The agents share context across service, parts, sales, rental, finance and diagnostics instead of operating as a disconnected chatbot. VitalEdge’s ROI model projects faster technician ramp-up, higher first-time fix rates, improved warranty recovery, lower service dwell time and increased productivity.


Zoom was honored for ZoomMate, an AI teammate that turns workplace conversations into completed work using context from meetings, notes, connected applications and the web. Built directly into Zoom Workplace, the solution can synthesize information, draft assets and advance follow-up work without requiring employees to reconstruct meeting context. Zoom research found that employees can spend up to six hours each week on meeting-related follow-up, giving ZoomMate the potential to return substantial time to higher-value work.


Recognizing Excellence in Artificial Intelligence Innovation


As organizations move AI from experimentation into production, they need technology that can deliver measurable value without introducing unnecessary operational complexity, security exposure or governance gaps.


The 2026 Artificial Intelligence Tech Ascension Award recipients exemplify how innovative companies are applying specialized models, agentic automation, enterprise data, human oversight and industry-specific intelligence to solve important business and technology challenges.


Learn more about other Tech Ascension Awards here.

Shufti was recently recognized with the Best Fraud Prevention Solution award for its Glocal Identity Verification Platform, which brings identity verification and compliance together across global markets while adapting to local requirements. In this interview, Frayyam Asif, Chief Technology Officer of Shufti, discusses the changing fraud landscape, building technology in-house, tackling identity challenges across different markets, and what comes next for Shufti. 


Shufti has won the 2026 Tech Ascension Award for Best Fraud Prevention Solution. What does this recognition mean for the team and for your clients? 


This recognition is a strong reminder of the engineering work behind our fraud prevention technology. We have spent years building the platform ourselves and testing it against increasingly sophisticated attacks, so it is good to see Shufti leading in an area that is becoming increasingly important for businesses today. 


For our clients, I think it gives them another reason to have confidence in the technology they rely on to protect their customers. Fraud is changing very quickly, and staying ahead of those changes has always been a big part of what we are trying to achieve at Shufti. 


In May 2026, Shufti became the first European company to achieve iBeta Level 3 conformance for fully passive liveness. Why do you think iBeta Certification matters? 


What makes it important to me is that it gives us a much clearer view of how the technology performs under difficult conditions. 


In the iBeta testing, we recorded 0% APCER and 0% BPCER across 900 mask attacks. The standard permits up to 45 attacks to succeed, but none succeeded with Shufti. The testing also covered both newer and older devices, which I think is important. In practice, you cannot assume everyone is using the latest devices. If you want to understand how robust a liveness system is, you have to test it across the range of devices and attack conditions that customers actually encounter. 


Shufti recorded 99.63% deepfake detection at a 0.46% false accept rate. What makes Shufti's approach effective? 


We do not rely on a single signal to identify a deepfake. Our system evaluates seven independent signals simultaneously and combines their results to make a more reliable decision.


But detection is only part of the challenge. The threats keep changing, so our models are continuously trained and improved against new attack techniques. We are constantly looking at how attacks are changing and where existing controls could be bypassed. 

The goal is to make sure our detection keeps working as deepfake technology evolves. 


A fully proprietary technology stack is a key theme in Shufti's approach. How does owning every component in-house help build trust with clients? 


The biggest advantage is control. We build, train, and operate the technology ourselves, so when we encounter a new fraud pattern or an edge case, we can address it directly rather than waiting on a third-party provider. 


That is particularly important in some of the toughest markets in the world, where identity systems and documents can be very different. Our OCR model, for example, is trained on these variations and achieves over 98% accuracy on complex scripts such as Arabic, Kanji, and Cyrillic, while also handling name transliteration. 


It also gives our clients more flexibility in how they deploy the platform, including private cloud and on-premise environments. 


The platform is described as Glocal. How do you reconcile global reach with the fact that identity infrastructure is intensely local? 


The reality is that identity is very local. The documents people use, the databases available, the languages involved, and the regulatory requirements can all be different from one country to another. 


We have built the underlying technology to work globally, but we adapt the identity intelligence to the requirements of each market. 


Today, we process more than 10,000 active document types, 150 languages, authoritative identity sources across more than 85 countries with 4.29 billion verifiable identities, and help businesses work with one platform and integration while still giving customers a verification experience that makes sense in their own market. 


Looking back, what achievements of Shufti are you most proud of? 


I’m probably most proud of how far we have taken the technology. Today we support more than 2000 businesses, cover 240+ countries and territories, and have processed more than 400 million verifications. But the numbers are only part of the story.

We have continued investing in our own technology and testing it against difficult fraud scenarios. Performing strongly in the DHS RIVR evaluation was a major milestone for Shufti. 


We were one of only five out of 16 vendors to meet all of the programme’s performance goals. Our deepfake detection results are also important to me because they give us independent evidence that the technology can perform against serious attack scenarios. 


What's next for Shufti, and what excites you most right now? 


There is a lot happening at Shufti right now. We are expanding beyond traditional identity verification with QES, transaction monitoring, and Travel Rule compliance. We are also working on five new product areas covering Bank Account Verification, Geolocation, Journey Builder, AI, and Model Context Protocol. 


Our recognition from G2 has also been encouraging because it shows that customers are seeing value in the direction we are taking, and our recognition by Liminal further reinforces that our capabilities are making an impact across the identity verification and age assurance space. 


What excites me most is bringing these capabilities together. Businesses should not need a different system for every part of their fraud and compliance process. We want to give them a platform that can handle more of that journey while making the experience simpler for genuine customers.

We sat down with Grant Demaree, Chief Executive Officer of Onebrief, to discuss the company’s 2026 Tech Ascension Award for Best Cloud Security Solution and how Onebrief is bringing modern, AI-enabled command capabilities into the government’s most sensitive environments. In this interview, Grant explains what it takes to earn authorization for classified networks, why security and performance under contested conditions are essential, and how AI-powered planning can help military leaders make faster, better-informed decisions without compromising operational security.


Grant Demaree, Chief Executive Officer of Onebrief

What does it take for a cloud platform to operate inside the government’s most sensitive environments, and how does Onebrief meet that bar?


The hardest part of defense software is rarely the software. It is getting it live, and proven as secure, on the networks where the real work happens. Most commercial software was not designed for those environments, so we built Onebrief for the hardest networks from the start.


Onebrief operates there. It is a cloud-native command platform authorized at Impact Level 5, Impact Level 6, and Top Secret, the government’s highest bars for sensitive and classified data. Earning that meant independent security testing and formal government authorization, plus building for expeditionary, low-bandwidth conditions, because a real operation does not pause when connectivity gets hard.


You emphasize that Onebrief’s security posture is verified. What does that authorization process actually involve?


It is deliberately hard, and it should be. An independent set of eyes tries to break the software before it is ever trusted with sensitive data. That means authenticated vulnerability scanning, where testers work from inside the system rather than knocking on the front door; static and dynamic testing, which examines both the code and the software as it runs; independent cybersecurity review; and formal authorization, where an accountable government authority signs off.


None of it is self-graded. We do not get to assert that we are secure. Someone outside the company has to agree, at every step. For anyone trusting this software with real operations, that is the standard they should demand.


Onebrief is also built for contested, low-bandwidth, expeditionary conditions. Why does that matter, for security and for the mission?


The environments where this matters most are rarely predictable. Command posts move, bandwidth is limited, and connectivity can be intermittent. If a platform only works under ideal conditions, it is not built for the mission.


So, we design for the hard cases. The platform must hold its security posture and keep a staff working from one shared, live picture even when the network is degraded. Getting that right is a core part of what we build.


Why does this matter, and why now?


It’s about combat power. Better military decisions are the fastest, cheapest way to create more of it, and planning sits upstream of almost every decision. Improve planning and you get decision superiority: commanders making faster, better decisions than the adversary, which lifts everything downstream. But you only get that if the software can run where the decisions are made. A brilliant planning platform that cannot operate on a classified network never matters.


Why now? AI is advancing rapidly, increasing both the advantage of better decisions and the cost of moving too slowly. A year of AI progress now can feel like a decade of change. At the same time, the old barrier, getting software live and authorized on classified networks, is finally coming down. This is the moment the most capable software can reach the most sensitive environments, and we would rather be early and proven than late.


What does this mean for the planners and commanders who use Onebrief?


It means modern, AI-enabled planning in the places they were told they could not have it. Teams using Onebrief have reported a 90% reduction in planning cycle time, a 50% increase in information accuracy, and roughly 20 hours of redundant weekly work removed per planning team. Instead of rebuilding the same plan across disconnected tools, the whole staff works from one live picture, and a change updates everywhere at once.


That is why adoption has spread across major U.S. operational plans and Geographic Combatant Commands. When planners can work faster without sacrificing rigor, securely and on the networks they already use, adoption follows.


Onebrief’s roots are in the military. Are the problems it solves unique to defense, or does it reach further?


It reaches well beyond defense, even though our roots are deeply military. The core problem, turning a flood of information into sound decisions quickly and securely, appears anywhere the stakes are high, and the coordination is complex. The military presents the hardest version of this challenge, which is why we built for it first, but the same platform and the same security discipline carry far beyond it. Solve the hardest version, and the solution tends to travel.


What do you see ahead for Onebrief?


More of the same direction, pushed harder. The goal has always been to make a command superhuman, in speed and in the quality of its plans. As AI improves, we get closer to agentic AI that can generate and pressure-test a plan against a thinking adversary, in simulation, before it is ever real, always with humans making the decisions.


None of that changes the discipline underneath. Every new capability must earn its place on the most secure networks in the same way, through real review and formal authorization. We will keep expanding what the platform can do while holding that line on security. That balance is fundamental to how we build, and we are only getting started.

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