graphenlabs_
company

An independent AI lab.

Graphenlabs works on AI research, developer tooling, and AI-adjacent products — with one goal: making them accessible to everyone, not just labs with research budgets. Coval is our first product.

AI is moving faster than the tools meant to keep it honest. Coding agents made it trivial to ship something that works — and nothing easier about shipping something that lasts. Invented APIs, duplicated logic, dead branches and modules losing their shape don't show up in a demo. They show up later, as the reason an agent's next change breaks.

Graphenlabs builds tools that close that gap. The thesis is simple: the work should stay grounded in your real code, and the intelligence should come from whatever AI tool you already use. One engine, rendered everywhere your code lives — your editor, your terminal, and any agent that speaks MCP. Coval is the first product built on that idea — not the last.

We work in the open and price for access: the core tools are free, run anywhere, and ask for no account. Research, tooling, and AI-adjacent products — made usable by the people who actually need them.

What we believe

Research, made usable

We turn AI research into tools people can actually run — not papers and demos, but things that ship in your everyday workflow.

Accessible, not gatekept

Powerful AI tooling shouldn't require a research budget or an enterprise contract. The core stays free and runs anywhere.

Real analysis, not vibes

Genuine graph + spectral engines — program-dependence graphs, fingerprints, spectral modularity — not a bag of regex rules.

Additive to your workflow

We plug into the AI tools you already use. The analysis is local; the intelligence comes from your model of choice.

Free
Core tools
no account, runs anywhere
5
Surfaces
MCP, agent, VS Code, CLI, web
1
Products
live today, more on the way
get in touch

Let's talk

Questions about Coval, team plans, or a language you want supported next? We read everything.

Coval is a Graphenlabs product · free to run · made accessible