About
Caliper Lab is run by a team of ML practitioners, research scientists, and domain specialists building the independent evaluation layer the market lacks.
Caliper Lab benchmarks AI products against real professional workflows in financial and professional services. It is not affiliated with any AI vendor.
Methodology
We build test sets from the actual work: contracts pulled from live deal processes, filings from active coverage universes, workflows described by practising lawyers and analysts. Combined with established academic benchmarks, this means our evaluations reflect what tools and models actually face in professional use, not what makes them look capable in a demo.
Every benchmark is designed and validated with domain experts: lawyers, financial analysts, and professional services practitioners who work with these documents daily. They define what correct looks like, catch the edge cases that matter, and ensure the tasks reflect real professional judgment. Capability claims only mean something if the test was designed by someone who understands the domain.
Our research team includes scientists from leading AI labs and universities who specialise in how language models are evaluated, and where evaluations fail. That expertise shapes every methodological decision we make, from task design to scoring to how we report confidence. The result is a benchmark infrastructure built to the standard of serious research, not just fast measurement.
Model capabilities shift materially with every major release. The Lab monitors frontier model and tool development continuously: architecture, fine-tuning, domain-specific performance, and updates findings when the baseline changes. A Caliper Lab assessment tells you where things stand today and how fast the gap is moving.
Our team
