Maya Chen
CEO & Co-founder
Previously led applied AI products at Google. Believes great agents are 10% model and 90% guardrails.
Our story
We started ai-agents.bar in 2025 with a simple belief: every team should be able to deploy autonomous AI agents — safely, in minutes, and without an ML PhD on payroll.
Mission
The last decade unlocked superhuman models. The next decade is about putting them to work — reliably, accountably, and across every team in the company. Today that means weeks of integration work, a sprawling MLOps stack, and a constant fear of an agent going off the rails.
We think it should mean five minutes, a click, and a runtime that refuses to do anything unsafe. So we built one.
Our north star is to make a deployable, governed AI workforce as accessible as Slack or Notion — not just for companies that can afford a dedicated ML platform team, but for every operator, founder, and ops lead who needs leverage now.
By the numbers
2025
Founded
50+
Integrations
99.99%
Uptime SLA
SOC 2
Type II certified
The team
A small, distributed team obsessed with safe, useful AI agents.
CEO & Co-founder
Previously led applied AI products at Google. Believes great agents are 10% model and 90% guardrails.
CTO & Co-founder
Ex-Stripe distributed systems. Spent a decade making payments boringly reliable. Now doing the same for agents.
Head of AI Research
PhD in reinforcement learning from MIT. Previously at OpenAI working on tool-use evaluations.
Head of Product
Shipped product at Notion and Linear. Cares deeply about the difference between a demo and a tool people use daily.
Head of Engineering
Former Datadog principal engineer. Runs our agent runtime team. Has strong opinions about queues and observability.
Head of GTM
Built and scaled revenue teams at Segment and Vercel. Lives for the moment a customer says "this just runs."
Backed by
Backed by tier-one venture funds and a deep bench of angel investors — operators from leading AI, infrastructure, and SaaS companies.
Values
We start every roadmap conversation with a real customer transcript. The product gets better only when their week does.
Small, reversible changes beat big-bang rewrites. We deploy to production multiple times a day, every day.
Security, audit and governance are not features bolted on later — they are the foundation under every line of code.
Small teams, clear context, real ownership. We hire adults and trust them to make consequential calls.
We're hiring across engineering, research, product and GTM — remote-first with hubs in SF and Berlin.