Agentic engineering
for products that compound.
We build production-grade AI agents and the harness around them. Open-source where it earns adoption, premium where it earns its keep. Four products, two continents, one philosophy: boring infrastructure, interesting outcomes.
Built once. Deployed everywhere.
Four products in production today. Each solves a real problem we hit ourselves first.
More products in development. Tell us what you're working on — we may already be building it.
Open source first
Sparks ships under MIT. Free for any team to use end-to-end in production. Premium tiers exist for enterprise needs — never for the basics.
Bounded by design
Every agent runs inside hard budget gates. Max iterations, max tokens, max runtime. A Spark cannot run away — that's what makes the economics work.
Runtime-agnostic
Copilot, Claude Code, Gemini, Aider — pick one or rotate between them. Our harness keeps the agents stable when the model market shifts. And it always shifts.
24 production PBIs.
3–5 min average. $0.0072 per PBI.
The open-source Sparks reference impl has shipped 24 PBIs end-to-end on a real public Next.js codebase. The same harness deploys at enterprises with one config swap. Read the architecture or see the working repo.
Ready to ship more,
with smaller teams?
Tell us what you're building. We'll tell you which of our products fits — or if none of them do, that too. No sales calls, no decks. Just a clear answer.
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