Technical AI Safety Research
A specialist system for technical AI safety research.
Math, law, and finance each have specialist systems that outperform general-purpose frontier models on the work that matters most. TAISR is that system for technical AI safety — built around the corpus, taxonomy, evidence discipline, and workflows the field actually uses.
Why specialize
Specialist systems beat generalists in field after field for the same structural reason: they exploit the shape of one domain rather than averaging across many.
Domain corpus and curation
A continuously curated technical AI safety corpus with explicit scope and provenance discipline — not a thin slice of a generalist academic index.
Evidence and claim discipline
Outputs distinguish supported, weakly supported, contradictory, and unresolved claims. Methodological disagreement is preserved, not smoothed into a single tidy summary.
Workflow structure
Built around the canonical jobs of safety research rather than a blank chat box — synthesis, comparison, review, challenge, each first-class.
Workflows
The work TAISR is built for.
Literature synthesis
Draw together the evidence on a research question, with provenance and methodological caveats preserved rather than averaged away.
Benchmark and evaluation comparison
Compare safety-relevant benchmarks and evaluations across models and methods, with their known caveats made explicit.
Safety-case and reporting review
Review safety arguments and technical reports for completeness, evidence support, and the gaps a careful reviewer should flag.
Challenge and rebuttal review
Examine objections to a claim, surface live methodological disagreement, and find counter-evidence the original argument did not address.
Private pilot
Access is invitation-only while we onboard the first cohort of collaborators.
For independent and grant-funded technical AI safety researchers, frontier-lab safety and evaluations teams, AI governance and standards groups, and institutions funding or supervising technical AI safety work.
We respond personally to every request. No marketing list, no automated drip.