AI models and vendor claims can sound impressive without holding up to real scrutiny. For 10+ years we've placed engineers with 70+ businesses, including AI research analysts who design real evaluations and validate findings, not just take a benchmark or demo at face value.
These are the problems teams hit evaluating AI without real analysis.
A vendor's benchmark numbers don't hold up on your actual use case.
You're choosing between models with no structured way to compare them.
A model hallucinates confidently, and no one's tracking how often.
Leadership wants a clear answer on AI capability, and no one owns the analysis.
Bias or fairness concerns haven't been formally tested, just assumed fine.
Research findings from one team don't reproduce when another team tries.
A demo that looks good and a finding that holds up under scrutiny are different things. We place analysts who bring the rigor to tell them apart.
If you need rigor behind an AI decision, this is for you.
Marketing claims need to be tested against your real use case.
A decision needs grounded analysis, not a confident-sounding pitch.
Formal evaluation is required, not an assumption things are fine.
Each problem above maps to how we build. Here's how we fix it.
We test vendor claims against your actual use case, not their marketing benchmark.
Models and approaches tested against your real requirements, side by side.
Hallucination and error rates measured systematically, not anecdotally.
Analysis documented clearly enough for leadership to act on with confidence.
Structured tests for bias and fairness, not an assumption things are fine.
Evaluations documented so another team can reproduce and trust the results.
We evaluate AI tools and models for our own work constantly, so we know how to tell a real capability from a good demo. For 10+ years and 70+ clients, we place analysts who bring that same rigor to your decisions.
Book a Talent Call →The same evaluation, three very different levels of rigor.
We scope the question and decision at stake — no cost, no obligation.
We match vetted AI research analysts ready to interview.
They design a rigorous evaluation against your real use case.
You get clear findings and a recommendation you can act on.
Evaluating model behavior, running experiments, benchmarking against alternatives, and writing up findings that hold up to scrutiny — distinct from building production systems.
Yes, this is common work — we design independent evaluations to test vendor claims against your actual use case, not their marketing benchmark.
Yes, comparative evaluation is core work — testing options against your real requirements and giving an honest recommendation, not a default pick.
We match from an existing vetted pool, so you're typically interviewing within days and can have someone contributing shortly after.
Both. Many clients start on contract to prove fit on real work, then convert strong performers to permanent.
Book a talent call — we'll scope your question and match an AI research analyst who brings real rigor.