Jigesh Shah is the co-founder and CEO of Neural Infrastructure, the full-stack AI infrastructure provider. He also runs RYVR, a marketing agency operated end-to-end by AI employees — the flagship proof that autonomous AI can run a real business, not just demo one. His work focuses on making AI agents production-grade for the companies that actually deploy them: governed, observable, and owned.
Before Neural Infrastructure, Jigesh built RevOps and go-to-market systems for mid-market and enterprise firms. That work led to a simple thesis: the barrier to enterprise AI is not the models — it is the infrastructure around them. Governance, memory, observability, and human oversight are what turn an impressive demo into an agent a business can actually trust. Neural Infrastructure is his answer to that gap, and RYVR is the living proof — an entire agency run by AI employees on the platform.
What he writes about
- Running AI employees in production — memory, governance, and cost
- Where autonomous AI genuinely pays off for SMBs, and where it does not
- The operating layer that makes AI agents trustworthy: owned, observable, governed
Recent writing
When Your Software Has No API, Put an AI Employee on the Screen
How Many AI Employees Can One Person Actually Supervise?
Build Log: Fine-Tuning a CFO Brain That Won't Make Up Your Numbers
Build Log: How Our Marketing LLM Stopped Making Up Statistics
How We Chose a Base Model for Our Open LLMs (It's Not About the Benchmark)
One Brain, Many Agents: Why Your SMB's AI Team Needs Shared Memory
Your AI Remembers Your Customers — Now What Does Privacy Law Say?
Stop Your AI From Making Up Facts About Your Own Customers
AI Agent Memory: How to Give an SMB Agent Context That Compounds
Human-in-the-Loop AI: Where to Put Approval Gates in Agent Workflows
What Does an AI Agent Actually Cost to Run? An SMB Budget Guide (2026)
Should Your SMB Let AI Answer the Phone? A Sober 2026 Take
Autonomous AI, your way.
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