For Researchers & educators
Exploring research collaboration
For academic and independent researchers interested in reproducible evaluation, benchmark analysis or technical explainers.
Problems
Problems we focus on
Reproducibility takes engineering time
Re-running evaluations with full provenance — fixed settings, repeated runs, published logs — takes significant engineering effort.
Research needs to reach practitioners
Findings need clear, accurate explanation before practitioners can use them.
Services
Relevant services
The service lines that address these problems. All of them are currently planned: we are designing them and are not yet taking engagements.
Literature reviews, model and vendor assessments, experiment design and technical due diligence for AI initiatives.
LLM & model evaluation
PlannedTask-specific evaluation suites and benchmark analysis that answer a concrete decision — which model to ship, whether a release regressed, where a system fails.
Evidence
Evidence you can check
We have no client case studies yet. These are pages on this site that show how we work — judge us on them.
Solutions