Rivac LabsLLM & Foundation Model Selection
With new frontier and open-weight models shipping constantly, picking the wrong one locks you into avoidable cost, latency, or compliance exposure for the life of a product. This service runs a structured, side-by-side evaluation of candidate models — OpenAI, Anthropic, Google, and relevant open-weight options — against your actual accuracy, cost, latency, and compliance requirements, using your own representative tasks rather than public benchmarks alone. We test the failure modes specific to your use case, not just headline capability scores, because the model that wins a leaderboard often isn't the one that survives your edge cases. You walk away with a defensible model choice and the evaluation harness to re-run the comparison as new models ship.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Define the accuracy, latency, cost, and compliance requirements specific to your use case and data sensitivity
- 2
Build a representative evaluation set from your own tasks and edge cases, not generic public benchmarks
- 3
Run candidate models — proprietary and open-weight — head-to-head against that evaluation set and score the results
- 4
Deliver a recommendation with the reusable evaluation harness so you can re-test as new models release
What You Get
Deliverables from this engagement
- Side-by-side model comparison scored against your own tasks
- Reusable evaluation harness for re-testing future model releases
- Cost and latency projections at your expected usage volume
- Written recommendation with trade-off rationale
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about LLM & Foundation Model SelectionMost engagements like this start as a $500–$2,500 pilot — see full pricing.