Axonis Official

Sensors are generating more data than ever. The challenge isn't collecting it—it's turning that constant stream of signals into trusted, actionable decisions fast enough to make a difference. Join Axonis CEO @ToddBarr and an expert panel for Fast Enough to Matter: Closing the Sensor-to-Decision Gap to explore how organizations are: • Applying AI across distributed sensor networks without moving sensitive or sovereign data • Building trust through evidence, provenance, and human oversight • Accelerating operational awareness across smart cities, critical infrastructure, defense, robotics, and more 📅 August 10, 2026 🕚 11:00 AM ET Register today: fiercesensors.com/premium/we…

Smart cities don’t need more disconnected data. They need a shared view of what is happening across traffic, utilities, public safety and critical infrastructure. Our new playbook, Fast Enough to Matter, explores how cities can connect those signals to spot emerging risks sooner, coordinate faster, deploy resources more effectively and protect sensitive operational data. Download the playbook: axonis.ai/fast-enough-to-mat… @CPCatapult, @smartccouncil, @FIWARE @ITS_America @AIOTI_EU

Healthcare organizations don't have to choose between protecting patient data and adopting AI. With Federated AI, hospitals can bring AI to the data—not the data to AI—enabling privacy-first collaboration while remaining compliant with regulations like HIPAA and GDPR. In his latest article, Axonis Ambassador Jitendra Bafna explains how Federated AI is helping healthcare organizations build smarter AI without compromising patient privacy. A must-read for anyone leading AI transformation in healthcare. Read more: medium.com/@jitendra.bafna/f… @CHAI @HDR_UK @HIMSS @AHA #HealthcareAI #FederatedAI #HealthIT #ClinicalAI #HIPAA #GDPR #EnterpriseAI

🌡️ When the heat hits the UK, it doesn’t just make us uncomfortable. It affects families, commutes, health, and the services people rely on. If you’ve got team mates, friends, family, or customers in the UK, you’ve probably felt it. The UK is resilient. But this is also part of a wider global pattern. That’s why we built the Axonis Weather Intelligence Application. It helps people understand what changing weather may mean across: 🏥 NHS 💧 Water 🚂 Rail 🌾 Agriculture ⚡ Energy 🚿 Hosepipe restrictions weatherimpact.ai

IoT and Edge AI are changing how organizations monitor critical infrastructure, but collecting more data isn't the goal. Making better decisions is. Our new playbook, Fast Enough to Matter: Turning Sensor Intelligence into Decisions Safely, explores how organizations can unify distributed sensor data, generate trusted intelligence without moving sensitive data, and keep humans in the loop for every critical decision. Download the playbook: axonis.ai/fast-enough-to-mat… #IoT #EdgeAI #EnterpriseAI #DecisionIntelligence

The countdown to #AI4 is on. We're proud to be a Gold Sponsor at one of the year's premier AI events and can't wait to meet the AI community in Las Vegas. 📍 Visit Axonis at Booth #1452 🎤 Hear CEO Todd Barr: "The AI Decisions Gap: Why Model Explainability is Only Half the Battle." 🍸 Join us for cocktails and conversation: luma.com/Axonis-Modulate-Ai4 AI explainability is only half the battle. Learn how Axonis helps organizations operationalize enterprise AI with decisions that are explainable, auditable, and defensible, without moving sensitive data. Find out more: axonis.ai/blog/axonis-to-sho… #EnterpriseAI #DecisionIntelligence #AIGovernance

Healthcare's AI number one challenge: Patient information is distributed across hospitals, clinics, labs, insurers, and research organizations, and privacy regulations will ensure much of it stays that way. The most secure way to operationalize AI is to bring it to the data. Its the only way you can discover the critical patterns that could improve patient outcomes, reduce emerging risks, and increase operational efficiency without compromising governance or compliance. That's where the long-term opportunity is -> the Pattern Recognition Economy. #HealthcareAI #EnterpriseAI #DecisionIntelligence #AIGovernance #DigitalHealth

AI for healthcare has one fundamental constraint: PHI doesn't move. The question isn't how to work around that reality. You can't. You need AI architectures that work with it. Axonis Ambassador Rajesh explores how federated learning, edge inference, secure enclaves, and zero-trust governance bring AI to the data—not the other way around. 👉 medium.com/@rajesh.dns/runni… #HealthcareAI #ClinicalAI #PHI #FederatedAI

Welcome to the Pattern Recognition Economy. We have more data than ever. AI can analyze it faster than ever. Yet decisions aren't getting any easier. Why? Because the signals that matter rarely exist in a single sensor, system, or organization. They emerge across fragmented environments that were never designed to work together. That's the challenge Multiplayer Decision Intelligence was built to solve. Read more: axonis.ai/blog/welcome-to-th… Watch now: youtube.com/watch?v=QBAnoSwu… #AI #EnterpriseAI #DecisionIntelligence #MultiplayerIntelligence

The most important AI decision isn't which model you choose. It's what you choose to own. Our CEO, Todd Barr's advice: ✓ Build incrementally ✓ Preserve optionality ✓ Plan to own your AI infrastructure More in his conversation with @sethearley. 🎧 earley.com/insights/earley-a… #EnterpriseAI #DecisionIntelligence

Sensors detect. People decide. AI should help bridge the gap. Join Alison Reese, Terri Jury, Vince Albanese, and moderator Todd Barr for a discussion on turning sensor data into trusted decisions. Date: August 10, 2026 Time: 11:00 am ET 📅 Register here: fiercesensors.com/premium/we…

John Boyd never built a fighter jet. He changed warfare by changing how decisions were made. The same shift is coming to enterprise AI. The winners won't be the fastest models. They'll be the platforms that make AI decisions observable, accountable, and continuously improvable. Chris Yonclas explains why the OODA Loop inspired Axonis Decision Intelligence. 👉 axonis.ai/blog/from-cockpit-…

If your AI strategy starts with: "First, let's centralize all our data..." ...we have some bad news. (And probably a 5-year implementation plan.) Why Data Gravity changes everything: 👉 axonis.ai/blog/data-gravity-… #EnterpriseAI #DataGravity #DecisionIntelligence

Even the best-trained dogs are walked on a leash. Not because they're bad. Because responsible owners know the environment is unpredictable. Enterprise AI needs the same mindset. In "Security Perimeter Stops at the AI Layer. That's a Problem," Axonis Ambassador Pooja Kamath explains why governing how AI reasons, acts, and makes decisions gives you the competitive advantage. Read it now 👉 medium.com/@poojapkamath/sec… #EnterpriseAI #AIInvestment #AIGovernance

With this week's introduction of Multiplayer Decision Intelligence, Axonis also introduced the Lens Framework -> a governance layer that enables governance to travel with the decision itself. As enterprise AI scales and crosses boundaries and borders, trust may become more valuable than intelligence alone. Decisions must be explainable, auditable, replayable, and supported by evidence. We believe governance will become a foundational layer of the enterprise AI stack and a key differentiator between experimentation and production. Learn more about it here: axonis.ai/blog/axonis-introd… #AxonisDecisionIntelligence #AIGovernance #EnterpriseAI #MultiplayerIntelligence

PHI is one of the most protected data classes in the world. Yet the best healthcare decisions often require intelligence that spans multiple providers, health systems, payers, and partners. The answer isn't exposing more data. It's building architectures designed for governance, verifiable identity, accountability, and secure intelligence sharing. That's exactly what we've built with Axonis Decision Intelligence—enabling organizations to act on intelligence across boundaries while maintaining trust, control, and protection of sensitive information. As Vince Albanese notes, trust must become infrastructure for the AI era. 🎥 Watch the discussion with Vince Albanese and Sheth Sanket: youtu.be/u1Yj7fEB3M0 #HealthcareAI #PHI #DecisionIntelligence #HealthIT

Today, we introduced Multiplayer Decision Intelligence. The most important patterns rarely exist inside a single organization. They emerge across partners, agencies, providers, and stakeholders. Multiplayer enables organizations to securely act on intelligence across organizational boundaries without exposing the underlying data. A new category of decision advantage for the AI era: axonis.ai/blog/axonis-introd… #EnterpriseAI #DecisionIntelligence #AI

At AI Summit London 2026, two themes kept surfacing across discussions on defense, sovereignty, and enterprise AI: Governance and Strategic Decision One presentation referenced John Boyd's OODA Loop and the importance of creating a decision advantage. That resonated with us because Axonis Co-Founder Chris Yonclas designed the foundation of Axonis around those same principles. Long before federated AI and sovereign AI became industry priorities, Axonis founders Chris Yonclas and Dr. David Bauer were solving a harder problem: how to generate trusted intelligence across distributed, high-security environments where data cannot be centralized. Read more: axonis.ai/blog/from-cockpit-… #EnterpriseAI #DecisionIntelligence #AIInfrastructure #AISovereignty #DefenseTech

Zero Trust says: Never trust. Always verify. But in the age of AI, what exactly are we verifying? Most security models stop at the network, application, or database. Axonis believes Zero Trust must extend to the data itself. Our approach: data-cell-level security. AI accesses only the specific data elements required for a decision while sensitive information remains protected. The result: ✅ Broader intelligence ✅ Stronger governance ✅ Distributed AI without overexposure Learn more: axonis.ai/blog/everything-yo… #ZeroTrust #EnterpriseAI #DataSecurity #DecisionIntelligence