About

We're building the
future of AI ops.

Genie started with a simple question: why is deploying an AI assistant still so painful? We're a small team on a mission to make AI infrastructure invisible.

12K+
Deployments
80+
Countries
99.99%
Uptime
4M+
Messages processed

Our story

We were tired of spending weeks wiring up AI models, managing cloud infrastructure, and stitching together messaging APIs. Every team we talked to had the same problem: they wanted AI assistants, but the setup was a nightmare.

So we built Genie — a platform where you choose your model, connect your channels, and click deploy. That's it. Under a minute from zero to a live AI assistant running 24/7 in the cloud.

Today, Genie powers thousands of deployments across 80+ countries. Teams use it for customer support, internal tooling, content generation, data analysis, and workflows we never imagined. We're just getting started.

What we believe

Speed over perfection

Ship fast, learn faster. We optimize for velocity because the best product is the one your team is already using.

Transparency by default

No hidden fees, no black-box pricing, no surprise rate limits. What you see is what you get — always.

Developer-first

Everything has an API. Every action is scriptable. We build tools for people who build things.

Privacy as a feature

Your data stays on your instance. We don't train on customer data. Self-host if you want complete ownership.

The team

A small, focused crew building at the intersection of AI and infrastructure.

Alex Chen

Alex Chen

CEO & Co-founder

Previously led AI infrastructure at a Fortune 500. Stanford CS.

Sarah Kim

Sarah Kim

CTO & Co-founder

Ex-Google Cloud, built distributed systems serving 1B+ requests/day.

Marcus Rivera

Marcus Rivera

Head of Product

Former product lead at Notion. Obsessed with developer experience.

Priya Patel

Priya Patel

Head of Engineering

Built ML pipelines at Stripe. Specialist in real-time inference.

Join us

We're hiring across engineering, design, and go-to-market. Remote-first, async-friendly.