Raycaster
Make agent work observable.
Raycaster builds evaluation programs, benchmark data, reproducible environments, and reference agents for consequential work across documents, spreadsheets, and tools.
Run real work
Reference agents complete document, spreadsheet, and tool-based workflows with the source and review trail intact.
Evaluate the system
Representative tasks, observable trajectories, and artifact-level verdicts before agents ship.
Build on the evidence
Benchmark data and reproducible environments for training, licensing, and regression testing.
What we build
Evaluation, data, and environments.
Benchmarks show what an agent did. Evaluation data and environments are how that work stays reproducible.
Evaluations
Domain tasks, rubrics, and reproducible verdicts before agents ship.
Evaluation data
Tasks, graders, and holdouts built with domain practitioners.
Environments
Reproducible workspaces where trajectories and artifacts stay inspectable.
Domains
Built around real workflows.
Start with the work you already do. Each domain page shows the use cases, the review loop, and how findings stay attached to the source.
Biopharma
CMC, quality, clinical, and submission documents kept consistent as the science changes.
Energy & EPC
Submittals, specs, and project documents where review has to land in the file.
Legal
Contracts, diligence packets, and exhibits with cited findings counsel can verify.
Healthcare
Care and operations records reconciled into reviewable risk findings.
Commercial
Agents watch the accounts and run the motion for life sciences tools, devices, and software—targeting, outbound, events, and scope drafts you approve.
Every domain
Enter by workflow instead of industry, and see where evidence is already published.
Experts & fellows
Judgment makes the work measurable.
Fellows and domain experts turn professional standards into acceptance conditions and review criteria—so systems hold up outside the chat demo.
AI Fellows
Practitioners who help define submission-grade judgment on real work.
Campus Fellows
Students in regulatory, quality, and technical programs building AI-native practice.
Experts & partners
Contribute tasks, rubrics, and adjudication—or bring a firm-scale workflow.
Have an agent workflow or evaluation program that has to hold up?
Talk to Raycaster