Sciweon

Data infrastructure for AI agents

Structured, agent-ready data across scientific domains and AI tooling. Agents get cross-source facts, provenance, and quantified confidence - not guesses.

Domains

Drug Discovery Alpha

Compounds, bioactivity, clinical trials, regulatory signals, and prior-failure records. For agents doing virtual lab work before any wet experiment.

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AI Tools Live

Cross-platform AI model and dataset selection. Agents query a single ranked API instead of crawling separate registries.

free2aitools.com ->

Design principles

Agent-first Designed for machines to consume directly. No human search-UX overhead in the data layer.
Cross-source Same fact verified across independent providers. Disagreement is captured, not hidden.
Provenance Every value carries its source, timestamp, and extraction method. Auditable end to end.
Confidence quantified Single-source values capped. Multi-source consensus boosts confidence. Agents see the score.
Negative evidence Failed trials, retractions, withdrawn drugs, post-market signals - collected as first-class data.
Daily-updated Continuously refreshed. Historical versions retained so agents can reason over time, not just snapshots.

For AI agents

Sciweon is not a search engine for humans. The intended user is an AI agent doing real research work - selecting compound leads, scoring trial designs, avoiding prior-failure repeats, choosing the right model for a domain task.

API and MCP server are in private alpha. Public access targeting Q3 2026. To get on the alpha list: hello@sciweon.com