About Actual AI

We're building the architecture governance platform for AI-native software teams.

Actual AI team

Our Mission

At Actual AI, our mission is to upgrade every software team to AI-powered software development. Coding agents can ship at remarkable speed, but on large codebases they burn tokens rediscovering the architecture and drift from the team's standards. We fix that by giving agents the architectural context they need to ship production-ready code the first time.

Our platform uses an advanced LLM-based pipeline to analyze your codebases and maintain an always-current system of record for architectural decisions (ADRs). Those decisions are synchronized into the context files every coding agent reads, served on demand through our Advisor — in the GitHub app, Slack, the CLI, and MCP — and enforced with architectural review on every pull request.

For enterprises, we give engineering leadership complete visibility over the software development process and the ability to ensure agents and AI-enabled developers are writing code that is consistent with design decisions, architectural standards, and product goals across codebases and teams.

Meet the team

John Kennedy

John Kennedy

Founder and CEO

Matthew Watts

Matthew Watts

Head of Engineering

Austin Born

Austin Born

Lead AI Engineer

Patrick Goulet

Patrick Goulet

Head of Partner Success

Brian Perry

Brian Perry

Founding Front-End Engineer

David Miura

David Miura

Founding AI Engineer

Manya Singh

Manya Singh

Founding Product Designer

Olivia Jacobs

Olivia Jacobs

Chief of Staff

Judy Kang

Judy Kang

Software Engineer

Ben Wisecup

Ben Wisecup

Software Engineer

Advisors

Eleanor Meegoda

Eleanor Meegoda

Justin Emond

Justin Emond

Simon Poile

Simon Poile

Adam Frankl

Adam Frankl

Brad Micklea

Brad Micklea

Supporting Programs

Alchemist Accelerator Logo
Foundations Logo
WTIA Logo
Orange Dao Logo

Frequently asked questions

Actual AI gives software teams architectural guardrails for AI-powered development. It captures your team's architectural decisions, keeps every AI coding agent aligned with them, and reviews pull requests so AI-generated code doesn't drift from your standards. The result is faster shipping without losing control of your codebase.
It's built for software teams that use AI coding agents and want to keep their architecture consistent as they scale. That includes startups moving fast, enterprises that need governance, and agencies delivering across many client codebases.

Ready to transform your engineering team?

Join the growing number of companies using Actual AI to build high-performing teams.