What does it take to build AI agents that enterprises will actually trust with their most critical workflows — and what happens when the company building those agents has no security clearance to see them deployed?

In this episode of First Commit, Eliya Elon and Laura Hamilton sit down with Mayada Gonimah, co-founder and CTO of Thread AI. Mayada spent her career at the deepest end of enterprise infrastructure — building prime brokerage systems at Goldman Sachs, PCI-compliant payment rails at the New York Times, and software for the Department of Defense at Palantir — without always having the clearance to see her own work run in the field. That constraint forced a discipline that now defines Thread AI: build infrastructure so reliable it functions correctly wherever it's deployed, under whatever conditions, whether you're watching or not. Thread AI builds AI-native orchestration for enterprises running mission-critical, multi-step agentic workflows — think end-to-end invoice processing, insurance claim routing, compliance monitoring — in financial services, healthcare, and public safety.

Join us as we explore:

The orchestration gap: Why tools like Temporal solved durability but not non-determinism — and why that gap became Thread AI's founding thesis in spring 2023.
Selling to enterprises early: How Thread AI closed contracts with some of the largest regulated organizations in the world before product-market fit was fully established — and why multi-cloud and compliance weren't optional.
The "applied AI" role: What Thread AI's forward-deployed applied AI engineers actually do, why strong distributed systems fundamentals beat AI hype on the hiring scorecard, and why the last 10% of production always wins.

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