The Unstructured Truth
Bridging the gap between raw, unstructured data and AI context to fuel real-world innovation. Explore the strategies, systems and technologies that bold enterprises are deploying to create a layer of unique organizational context for AI decision making.
Webinar: Fix your data, fix your AI (recording)
Alan Jacobson and Flexor founder Or Zabludowski on why AI fails on unstructured data, and the pipelines that fix it. Watch the recording or read the full transcript.
Flexor mentioned in Gartner report on the emerging AI Context Platform market
Gartner published new research defining the emerging AI context platform market. Flexor was mentioned among the companies pioneering the space, in the unstructured data category.
Unstructured data killed my AI agent. Now what?
Why unstructured data breaks enterprise AI agents, and how a shared context layer prepares data once so every agent can reuse it.
Before and after managed context: Building AI agents that actually scale
Managed context turns raw documents, emails, and conversations into structured, linked data AI agents can query and reason over.
Why AI that works in your repo fails in your CRM
AI agents fail on business data because it has no canonical state. How an AI Context Engine unifies fragmented enterprise context.
The Modern AI Infrastructure Stack
Learn what context engineering is, how it improves AI performance, and why it matters for reliable, scalable apps and AI systems.
Context Engineering: What It is and Why It Matters for AI
Learn what context engineering is, how it improves AI performance, and why it matters for reliable, scalable apps and AI systems.
Beyond Deployment: How a Global Multinational Enterprise Uses Flexor to Optimize AI Agents
Learn how a global enterprise used Flexor ACE to identify AI knowledge gaps, reduce hallucinations, and improve agent accuracy and trust at scale.
AI is moving fast. It just doesn’t know your business.
Most organizations today are under pressure to “do something with AI”: build agents, automate workflows, unlock productivity. The excitement is real, and so is the opportunity. Yet there’s one problem holding enterprises back from deploying AI at scale: trust. Leaders want AI systems that can make accurate recommendations, understand their business, and support real decisions.…
Does AI implementation feel like a struggle?
The mandate from leadership is inescapable: be AI-first, move fast, and show immediate ROI. It’s the headline of every earnings call and the centerpiece of every strategy offsite. For Data and AI leaders, the era of “cautious experimentation” is over. You are now expected to deliver production-grade workflows that move the needle and justify the…
Why unstructured context is the new moat
Over the last 9 months, we’ve been working with dozens of teams who are challenging what’s possible with AI. They always reach the same conclusion: AI models have become so powerful that they’re no longer a bottleneck. AI context, on the other hand, has become what determines success: the relevant data, guidelines, domain expertise, decision…
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Make today the day you give your AI applications the context they need to succeed
