LabChin

Domain AI and agents,
wired into your lab.

LabChin connects domain AI models, real-time equipment data, and institutional knowledge — so agents dynamically orchestrate across all of it to maximize R&D execution speed and productivity.

LLMs are one part of the picture. Domain AI models like AlphaFold operate at scientific depth that general language models cannot match.

LabChin integrates these specialized models with your equipment data, protocols, experimental records, and institutional knowledge — then lets agents dynamically orchestrate across all of it.

The result is faster experiment cycles, fewer repeated decisions, and research productivity that compounds over time.

What LabChin does

Domain AI Integration

Connect specialized domain models alongside LLMs — AlphaFold and similar — for analysis at scientific depth that general models cannot reach.

Equipment Data Layer

Feed live and historical equipment data directly to agents in real time, so decisions are grounded in what the instruments are actually producing.

Institutional Knowledge Base

Protocols, lab notes, experimental records, reports, and past decisions — all structured and accessible so agents never start from zero.

Dynamic Agent Orchestration

Agents that dynamically pull from domain models, equipment data, and institutional knowledge to support research decisions and execution — in context, in real time.

Execution Acceleration

Reduce time from experiment design to insight to decision. Agents handle retrieval, comparison, drafting, and recommendations so researchers focus on what matters.