Agents are built from code
nobody audited.
QAI Lab tests the public repositories, skills and models that agents are assembled from — 5,000+ security issues found so far — and builds the cloud that limits what an agent can reach, spend and do when one of them is wrong.
QAI Finance
The research desk the QAI Fund invests in — interactive boards, per-company dossiers, and report decks built on frontier models and proprietary, web-grounded data. Every figure sourced, every thesis falsifiable.
QAI Earth
AI-powered geospatial sciences platform. Analyze satellite imagery, explore terrain with AI Geologists, and unlock spatial insights from our planet.
Platform
The operator stopped being a person.
Software now fans out without warning, runs code nobody reviewed, spends money it cannot feel, and works while you are asleep — and every layer under it was built for someone at a keyboard. Four parts, rebuilt as one system: where an agent runs, what it knows, what it costs, and the ground under all three.
Agentic AI
01You cannot review an agent's code and know what it will do.
Data
02Storage was never the problem. Disagreement is.
Cloud
03A budget an agent cannot exceed has to live below the agent, not inside its prompt.
Infra
04Defaults are chosen at the bottom, or they are not chosen at all.
Research
QAI Lab works on the agentic-systems problems the platform has to solve — and ships the answers into the products.
About us
QAI Lab is an applied AI research lab.
We work on the four things an agent needs to be useful on real data — retrieval, memory, tool use and evaluation — and the research leaves as production software rather than as papers.
QAI Finance, QAI Earth and QAI Insights are where it is tested against people who need an answer rather than a benchmark. A metering bug shows up in our own billing before a customer's.
About QAI Lab- 5,000+
- Agentic security issues found
- 300
- Models evaluated
- 100B
- Tokens saved each month
- 10×
- Gain in agentic performance