A lab that ships.

We study how AI agents should be built — then we build them.

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Langchain logo
Albertsons logo
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Cal.com logo
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Greptile logoGreptile
Vercel logo
Langchain logo
Albertsons logo
Gumloop logo
Cal.com logo
Graphite logo
Trigger.dev logotrigger.dev
Greptile logoGreptile
01 — Context

Every token is deliberate.

02 — Architecture

Four steps, three in parallel.

03 — Evaluation

Every output is scored.

FAST

We onboard in days, not months. Small team, high context, no overhead. 2–3 engagements per quarter.

DEEP

We do the research. Contract engineering, agent infrastructure, model evaluation. The work behind the work.

PRODUCTION

Everything ships. Real users, real traffic, real edge cases. Fortune 500 polish at startup speed.

Read Safeway AI case study
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agentic systems

Safeway AI

Agentic search and bespoke memory architecture for Albertsons/Safeway’s 250k+ SKU grocery inventory. The agent remembers what it’s already found, refines its own queries, and builds context across sessions.

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Read Year in Code case study
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generative video

Year in Code

AI-directed personalized video for thousands of developers. LLM-generated scripts, function-calling for scene selection, Three.js rendering, and parallelized cloud encoding via AWS Lambda.

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We take on a small number of engagements. Tell us what you're building.

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