Icebreaker

🔥 OUR CEO ON @WalrusProtocol — AGAIN! Recognition means more when it comes from people who understand the technology. Once again, Walrus has featured the perspective of our CEO, @OMID_0909 , on its official page. For us, this is more than a repost. It’s an opportunity to bring the ideas and discussions shaping the future of decentralized infrastructure to a wider audience. At EKOS, we believe the next generation of AI and enterprise systems needs more than data storage. It needs structured knowledge, verifiable evidence, and a reliable foundation that both humans and AI agents can trust. We’re proud to see our voice becoming part of this conversation. Thank you, Walrus, for the continued recognition. Build with purpose. Share knowledge. Keep moving forward. @WalrusProtocol @OMID_0909 #EKOS #Walrus #AI

🚀 EKOS | PHASE 3 DEVELOPMENT UPDATE #4 🔥 WE DON’T JUST BUILD AI KNOWLEDGE INFRASTRUCTURE. WE PROVE WHAT IT CAN DO. Today, we’re hitting another major milestone. 📈 FROM 53.3% TO 66.9%. That’s a +13.6 percentage-point improvement in our BIRD Mini-Dev Text-to-SQL evaluation with EKOS G2. And this is just the beginning. 🧠 WHAT DOES THIS MEAN? AI agents need more than access to data. They need the right knowledge, context, and understanding of the systems behind that data. That’s exactly what we’re building with EKOS. ⚡ BEHIND THIS RESULT: 🔹 Dedicated BIRD Mini-Dev benchmark infrastructure. 🔹 Strict data-leakage protection. 🔹 Statistical evaluation with Confidence Intervals and McNemar’s test. 🔹 Official BIRD scorer validation across 704 predictions — identical Execution Accuracy results. 🔹 Deep regression investigation and improved evaluation methodology. 🔹 Public benchmark results and reproducible documentation. 🛡️ NO SHORTCUTS. NO BLIND CLAIMS. JUST ENGINEERING AND EVIDENCE. We built the evaluation infrastructure, investigated unexpected results, validated the scoring process, and published the findings. 🌐 THE BIGGER VISION EKOS is building a knowledge compilation layer that transforms enterprise databases, codebases, pipelines, and technical documentation into structured, versioned, evidence-backed knowledge. Our goal is to give AI agents something far more powerful than raw data access: A reliable understanding of the systems they work with. 🚀 66.9% PERFORMANCE. +13.6 POINTS OVER BASELINE. KNOWLEDGE COMPILATION, MEASURED. And we’re just getting started. EKOS 1.2.0 — COMPILE KNOWLEDGE. UNLOCK INTELLIGENCE. 🔗 🧵

⚙️🛠️ EKOS | BUILT FOR REAL ENTERPRISE INFRASTRUCTURE YOUR INFRASTRUCTURE. YOUR DATA. YOUR KNOWLEDGE. POWERED BY EKOS. Enterprise intelligence must operate where enterprise data actually lives — not just in public environments or standard cloud deployments. EKOS is advancing toward secure and flexible deployment across real enterprise infrastructure. ☁️ Multi-Cloud Deployment Infrastructure support for Microsoft Azure, AWS, and Google Cloud, with Terraform and Kubernetes deployment paths. 🔐 Private Registry Support Support for private Azure Container Registry (ACR) images when deploying EKOS. 🛡️ Secure Authentication Managed Identity with the AcrPull role enables secure image access without static registry credentials or enabling the ACR admin account. ⚙️ Deployment Flexibility Configurable compute resources, storage, VM sizes, container specifications, and automated backup schedules. 🏢 Built for Enterprise Needs Our goal is to give organizations greater control over where EKOS runs and how it connects to their existing infrastructure. Our vision is clear: a unified intelligence layer that works across different infrastructure environments and makes the knowledge hidden within complex enterprise systems and data accessible. ONE INTELLIGENCE LAYER. MULTIPLE INFRASTRUCTURES. ENTERPRISE KNOWLEDGE WITHOUT BOUNDARIES. And this is just the beginning. @Microsoft @Azure 🔗 🧵

EKOS x Microsoft Azure ☁️ @ekosproject ON @Azure — TWO DEPLOYMENT METHODS. ONE REAL-WORLD TEST. ⚙️🛠️ How easily can EKOS be deployed in a real enterprise cloud environment? In his latest video, Alexey Banaev demonstrates two complete ways to deploy EKOS on Microsoft Azure: 🔹 One-File Installer: A guided deployment using EKOS’s dedicated installer, with Azure authentication, permission checks, cost estimation, and automated infrastructure provisioning. 🔹 Direct Terraform Deployment: Deploying EKOS through the example Terraform configuration in the official repository. 📊 Real deployment results — recorded on November 3, 2026: • 33 Azure resources created through the installer. • 31 Azure resources created through Terraform. • Both Web Consoles successfully launched over HTTPS. • Both deployments completely removed. • Zero remaining resource groups. 🛠️ The real-world test also revealed an issue with private registry image access in the Azure Terraform example. The team addressed it in commit 8c3ad70, adding acr_id and resource sizing and backup settings. The video demonstrates the complete process — from installation and deployment to verification and teardown. This is what engineering progress looks like: Deploy. Verify. Identify. Improve. 30 Years of Engineering Experience. One Vision: EKOS. @Microsoft @MSCloud @msdev 🎥 Watch the full walkthrough: youtu.be/zJ_M6qhqXqg

🔷 INTEL × EKOS EKOS at Intel — Coming Soon🤝 The next generation of AI needs more than computing power. As Agentic AI evolves, the real challenge is building systems that can understand complex information, connect knowledge, preserve evidence, and operate with reliable context. 🏥 Intel is advancing AI computing infrastructure, including applications in healthcare — from clinical documentation and medical evidence retrieval to radiology analysis and genomic interpretation, helping shape the future of medical diagnosis and treatment workflows. 💡 This is where we see an exciting opportunity for EKOS. EKOS is building the knowledge infrastructure behind intelligent agents: connecting complex information, structuring knowledge, and preserving traceable evidence. We believe combining advanced computing with reliable, evidence-based knowledge infrastructure could open new possibilities for AI in healthcare and beyond. 🌐 We're taking steps toward the Intel ecosystem through two programs: 🔹 Intel Liftoff for Startups 🔹 Intel Partner Alliance Two different technological layers. One vision for the future of AI. ⚡ COMPUTE POWER MEETS INTELLIGENT KNOWLEDGE. And we're just getting started. @ekosproject @intel @LipBuTan1 @OMID_0909 🧵📌 #Intel #EKOS #AgenticAI #HealthcareAI #AIInfrastructure

EKOS WEEKLY RECAP | A NEW CHAPTER IS TAKING SHAPE📑 This week marked another important step in EKOS development. Phase 3 is underway, bringing significant progress across technical capabilities, infrastructure, and product development. Here’s what shaped our week: 🔹 Technical Progress: Advancing Cross-Reference Integrity Check and strengthening the infrastructure behind EKOS, including a major recovery-time improvement from approximately 3.5 hours to just 6 minutes. 🔹 Real-World Access: Preparing a free demo experience that will allow developers and companies to connect EKOS and test it with their own data. 🔹 Two Products, One Technology: Moving forward with two distinct product directions — EKOS Lakehouse for data engineering and EKOS System Intelligence for understanding complex software systems. 🔹 Expanding the Ecosystem: Continued development across Trench Sentry and EKOS Bot, alongside new opportunities for applying our technology. 🔹 Enterprise Intelligence: Publishing research and perspectives on AI agent security, evidence, provenance, accountability, and the challenges of understanding complex enterprise systems. 🔹 Community & Outreach: Expanding enterprise conversations and launching new opportunities for developers to contribute to the ecosystem. We’re moving beyond explaining what EKOS can do and getting closer to letting people experience it firsthand. More details and progress updates below. Build. Understand. Verify. Compile. @IBM @Dell @intel @Microsoft @Google @Oracle @OMID_0909

Intel’s latest work on Agentic AI throughput highlights an important shift. As AI agents move into healthcare, finance, and manufacturing, performance is no longer just about how fast a model responds. It’s about how much work an entire system can complete. 🏥 Intel’s healthcare benchmark is particularly interesting. It includes tasks such as clinical documentation, evidence retrieval, radiology analysis, and genomic interpretation. A few days ago, EKOS reached out to Intel to start a conversation about how intelligent infrastructure could help advance medical progress and benefit humanity. Seeing healthcare featured in this latest work makes the topic even more interesting to EKOS. 🔍 But there’s another side to this progress. More agents processing more information means a greater need to understand where that information comes from, whether the evidence is reliable, and how the results can be verified. ⚡ Speed increases capacity. Knowledge gives that capacity context. This is one of the problems EKOS is being built to address: turning scattered enterprise information into structured, connected, and traceable knowledge that both humans and AI agents can work with. EKOS is ready to contribute to this next chapter of Agentic AI — bringing knowledge, evidence, and traceability into the picture. The next step for Agentic AI isn’t just doing more work. It’s knowing what that work is based on. @intel @ekosproject @OMID_0909 @LipBuTan1

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@ekosproject 🤝 @Microsoft THE ROAD TO OFFICIAL PARTNERSHIP HAS BEGUN! A new milestone in EKOS's journey toward the enterprise market. 🌐 We've officially initiated our registration with Microsoft Partner Center, taking an important step toward becoming part of the Microsoft partner ecosystem and bringing EKOS to Microsoft Marketplace. 🔍 Our business verification is currently under review by Microsoft. 🎯 Our vision is to make EKOS accessible to more enterprises, developers, and AI-driven systems through established technology ecosystems. ⚙️ One Technology. Two Powerful Directions. One Bigger Vision. 🏢 The next chapter of EKOS is taking shape. 📸 We've shared a snapshot of our Microsoft Partner Center registration in the first comment. Take a look! Stay tuned. More updates are coming! #EKOS #Microsoft #EnterpriseAI #DataEngineering #AI

EKOS | PHASE 3 DEVELOPMENT UPDATE #3 ⚙️🛠️ ONE KNOWLEDGE COMPILER. MULTIPLE DATABASE ECOSYSTEMS. Enterprise data doesn’t live in one database. And understanding complex systems shouldn’t be limited to one either. EKOS is expanding its database intelligence. We’ve now extended native project database support beyond Oracle to include: ⚡ PostgreSQL. @PostgreSQL ⚡ ClickHouse. @ClickHouseDB ⚡ Oracle. @Oracle But this is about much more than adding database connections. We’re building a unified architecture that allows EKOS to observe, analyze, and compile knowledge from different database systems through a shared intelligence layer. What’s included: • Dedicated PostgreSQL plugin. • ClickHouse catalog integration. • Unified catalog analysis across database dialects. • Read-only database access with write-operation protection. • Integration across CLI, Web Console, and project configuration. • Live validation against PostgreSQL 16 and ClickHouse 24.8. Why does this matter? Because enterprise intelligence cannot stop at database boundaries. Whether your infrastructure runs on Oracle, PostgreSQL, or ClickHouse, EKOS is moving toward one consistent way to understand the systems behind your data. And this is just the beginning. More databases. More connected knowledge. One EKOS. We’re building the intelligence layer for complex enterprise systems. 🔗 🧵

🖋️📑 NEW EKOS ARTICLE | Can Your Enterprise Explain What Really Happened? @IBM . @Microsoft . @Oracle . @SAP . @FireMon Different technologies. Different approaches. One clear direction: the future of Enterprise AI depends on trust, context, traceability, and verifiable knowledge. As AI moves deeper into enterprise infrastructure, generating answers is no longer enough. Organizations need to know what happened, why it happened, and most importantly, be able to prove it with evidence. 🔍 🧠 Our new article explores this fundamental challenge and examines how AI, traceable knowledge, and verifiable evidence are shaping the future of enterprise intelligence and governance. This is exactly the challenge EKOS is built to address. We’re not building another search engine or another AI wrapper. We’re building an Enterprise Knowledge Operating System that connects fragmented knowledge, reveals relationships across complex systems, and makes enterprise intelligence traceable and verifiable. ⚡ The next era of Enterprise AI won’t be defined by smarter models alone. It will be defined by the knowledge infrastructure behind them. EKOS — Compile knowledge. Preserve evidence. Understand systems. 📖 Read the full article below 👇

🚀 EKOS | PHASE 3 DEVELOPMENT UPDATE #2 🤝🫂 Building EKOS for wider access and real-world use. We’re making important infrastructure improvements as part of a bigger goal: making EKOS accessible directly through our website, where developers and companies will be able to experience it with their own data through a FREE demo. To make that possible, we’re strengthening the infrastructure behind EKOS. Here’s what we’ve been working on: ☁️ Multi-Cloud Deployment EKOS deployment infrastructure now includes support for technologies across the world’s leading cloud ecosystems: • Microsoft Azure @Azure • Amazon Web Services (AWS) @awscloud • Google Cloud Platform (GCP) @googlecloud • Kubernetes. @kubernetesio • Terraform & Helm @HashiCorp @HelmPack With deployment paths covering VMs, containers, and Kubernetes environments, we’re building toward flexible deployment across different enterprise infrastructures. ⚙️ Real Cloud Deployment Validation We’ve completed real Azure deployment cycles through Azure Pipelines, including deployment, demonstration, and teardown. We’re testing EKOS in actual cloud environments and improving it based on what we learn. ⚡ Major Recovery Performance Improvement A real-world recovery issue caused unnecessary processing of approximately 142,000 objects. After fixing ignore-pattern handling, processing time dropped from around 3.5 hours to approximately 6 minutes. 🛡️ Reliability & Deployment Hardening We’ve also improved: • Cloud instance coordination and lease management. • MCP timeout handling and error responses. • Stable image versioning with EKOS 1.1.0. • Automated Terraform, Helm, and deployment-script checks in CI. Why does this matter? Because we’re not just developing EKOS. We’re preparing the infrastructure that will allow more developers, teams, and companies to experience its capabilities firsthand. The goal is simple: Bring your own data. Connect with EKOS. Experience the difference. FREE demo access through our website is part of this next step. @ekosproject 🫂🤝 @Azure @awscloud @googlecloud @kubernetesio @HashiCorp @HelmPack More coming soon. 🔗 🧵

We’ve challenged five technology giants with EKOS! 👀🔥 @IBM . @Dell . @intel . @UberEng . @stripe 🏢 Five different industries. ⚙️ Five complex technological ecosystems. 🎯 Five real-world challenges. We explored how EKOS could help them understand their systems, connect fragmented knowledge, and unlock new possibilities with AI. But this is more than a thought experiment. 🚀 Soon, companies and developers will be able to request a completely FREE, professional, and confidential EKOS demo test. They’ll have the opportunity to test the technology using their own data and dedicated environments, with no cost involved. 🔍 A chance to experience EKOS capabilities firsthand — not just read about them. Five companies. Five challenges. One technology. We’ve put the challenge on the table. Soon, they’ll have the opportunity to put EKOS to the test with their own real-world systems and data. EKOS — One Technology. Two Powerful Directions. @OMID_0909

🚀 TIME TO TOUCH EKOS. We’re preparing a major step forward that will change how people interact with and experience EKOS. A new chapter is approaching — one where investors, developers, AI specialists, and enterprises won’t just hear about EKOS or watch demonstrations. They’ll be able to explore it firsthand, test its capabilities, and discover its potential using their own data. We believe this will open the door to meaningful collaborations, broader enterprise adoption, and opportunities on a much larger scale. No more just talking about what’s possible. Don’t just hear about EKOS. Don’t just watch it. Touch it. Test it. Experience it. Something BIG is coming. 👀🔥 @ekosproject @IBM @intel @Dell @nvidia @MSCloud @googlecloud @UberEng

🔐 Enterprise Security Needs More Than Detection. It Needs System Intelligence. 🛠️⚙️ @IBM highlights the growing business impact of data breaches, while @Dell emphasizes the importance of cyber resilience and protecting enterprise infrastructure. But there’s another critical question: How well do organizations actually understand the systems they’re trying to protect? Identifying a vulnerability is only the beginning. Security teams need to understand dependencies across applications, databases, services, and data pipelines — backed by verifiable evidence. This is where EKOS System Intelligence comes in. By compiling technical knowledge across complex enterprise environments, EKOS aims to provide: ▪️ Structured understanding of enterprise systems ▪️ Traceable relationships and technical dependencies ▪️ Evidence-backed knowledge with source provenance ▪️ Reliable context for AI-driven investigations IBM addresses the business impact. Dell strengthens cyber resilience. EKOS System Intelligence brings another essential layer: making complex enterprise systems understandable, connected, and verifiable. The future of AI security isn’t just about detecting threats. It’s about understanding what they affect — and proving why. 📖 Read our article: medium.com/@Omid.EKOS/what-a… @IBM @ekosproject @Dell