We have reached a fascinating impasse with enterprise AI. We promise our organizations autonomous speed, but the moment we deploy agents into highly regulated environments like healthcare or finance, we panic. Because LLMs are inherently probabilistic, we wrap them in basic content filters and force human reviewers to rubber-stamp every decision. We end up replacing software bottlenecks with human ones. This “phantom oversight” feels like safety, right up until a confident, polite AI misinterprets a clinical policy and an organization has to answer for it in an audit.
It takes a rare blend of deep, hard-earned experience and architectural courage to look at this fundamental flaw and build a structural fix. That is exactly what Dilip Ittyera, Joshua Thomas, and Vivek Khandelwal are doing with CogniSwitch.
Dilip is a true veteran of the ecosystem. Having started building AI expert systems in the 1980s and served as a four-time CTO, he has lived through the hype cycles and understands exactly what enterprise scale actually requires. With CogniSwitch, he and his co-founders aren’t just building another AI model or a generic guardrail. They are building the definitive “Trust Layer” for enterprise AI.
The engineering under the hood is brilliant in its pragmatism. CogniSwitch operates as a neuro-symbolic verification infrastructure that wraps around your existing AI pipeline. It takes messy enterprise knowledge — clinical protocols, complex SOPs, compliance rules — and transforms it into a structured, deterministic knowledge graph. When an AI agent makes a decision, CogniSwitch doesn’t just check the final output for bad words; it verifies the actual reasoning path in real-time against strict corporate policies.
The true moat here is mathematically provable compliance. While traditional evaluation platforms rely on probabilistic scoring after the fact, CogniSwitch enforces rules at the reasoning layer. It generates an immutable, traceable audit trail for every single decision, showing exactly which policy governed the action and how conflicts were resolved.
The market? Regulated global enterprises, healthcare payers, and enterprise teams desperate to deploy AI agents at scale, but who remain blocked by Legal and InfoSec. By shifting the conversation from “we think the AI is compliant” to “here is the deterministic proof”, CogniSwitch gives organizations the confidence to actually automate their most critical workflows.
Seeing builders of this caliber head-down, quietly architecting the heavy-duty infrastructure that makes AI viable and accountable in the real world is profoundly inspiring. They are laying the foundation for the next true leap in enterprise automation.
Let’s celebrate the builders.
w/ Jay Ingle & Dikshant Joshi
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