Agent runtime
UcoWorker Agent
A general coworker users can run in the browser, on desktop, and in cloud jobs.
The runtime users touch
AI4ALPHA builds agents, structured data, executable skills, and evaluation loops for domain work that has to be correct.
UcoWorker is the agent. The data layer gives it domain memory. The evaluation layer makes improvement measurable.
Agent runtime
A general coworker users can run in the browser, on desktop, and in cloud jobs.
The runtime users touch
Domain memory
Structured records and executable skills that turn a general agent into a domain worker.
The compounding asset
Correctness loop
Benchmarks and review sets that measure whether agents answer correctly, not just fluently.
The feedback loop
The durable layer is source-linked data, repeatable skills, and evaluation sets that improve as agents work.
Agents + data + evaluation
Every normalized record becomes reusable context for future agents.
Repeatable procedures make domain work less dependent on one prompt.
Every test set makes correctness measurable across models and agents.
We start where freshness, structure, and correctness matter. Each domain reuses the same agent, data, skills, and evaluation pattern.
First public domain
119M holdings, SEC filings, prices, fundamentals, and market records.
Pilot domain
Mandarin legal workflows with Chinese legal sources and structured procedures.
Same pattern
Same playbook by request: data, skills, evaluations, and runtime.