AI can write code. Chiron helps teams build products.

You can ask an AI agent to build almost anything. But does it understand what you're trying to achieve?

Does it know your product, your architecture, your previous decisions, or why a feature matters?

And when multiple agents start building, who's making sure everything fits together?

The challenge isn't just generating code. It's turning ideas into products that actually work.

That's where Chiron comes in.

An idea is just the beginning. Turning it into something worth building takes understanding, exploration, and clear decisions.

Chiron lets you brainstorm and plan with AI that has access to your product's existing knowledge, not just what you type into a prompt.

Explore possibilities, identify constraints, resolve ambiguity, and turn ideas into structured work your agents can execute.

Your product knowledge lives across codebases, documentation, designs, tickets, and decisions.

Without that understanding, every new agent starts with an incomplete picture.

Chiron connects your existing tools and information into a shared knowledge layer that both people and agents can use.

So before an agent changes something, it can understand what already exists, how things connect, and which decisions need to be respected.

AI coding agents are powerful individually. But building products requires people and agents to work toward the same goals.

Chiron gives agents a place in your development workflow, with identifiable responsibilities, assigned work, and access to the knowledge they need.

Coordinate multiple agents, follow their progress, and keep your engineers involved when decisions require human judgment.

Giving agents more responsibility shouldn't mean losing control of the work.

Chiron keeps execution connected to the requirements and decisions that shaped it.

See what changed, review the results, verify acceptance criteria, and understand where your team needs to step in.

Because faster development only matters when you can trust what's being delivered.

As more agents participate in development, understanding AI usage becomes essential.

Chiron brings cost information into the same environment where work is planned and executed.

Track model usage, understand spending across your team, and make informed decisions about how you use AI.

Chiron is agent-agnostic by design. It works alongside your existing AI coding agents and development tools, rather than replacing them.

Connect your repositories, knowledge sources, designs, and supported agents to bring product thinking and engineering execution into one coordinated workflow.