Benchmarks
Measure where models actually fail.
We design benchmark suites that go beyond academic leaderboard performance — targeting the vertical, expert-level tasks where frontier models still break down in practice.
Methodology
Expert-authored tasks
Every test case is written or validated by a domain specialist. We do not generate tasks from existing benchmarks or LLM outputs. The difficulty floor is set by what capable professionals actually find hard.
Real-world distribution
Tasks are drawn from genuine professional scenarios — not textbook problems or cleaned-up academic exercises. We preserve the ambiguity, noise, and context-switching that characterizes expert work in practice.
Tail-aware evaluation
We measure failure modes as carefully as successes. A model that scores 90% average but fails catastrophically on 10% of safety-critical tasks is not the same as one that scores 90% uniformly. We report both.
Contamination controls
Test sets are held out entirely from any training pipeline. We version-control task sets and rotate items over time to prevent leakage from model providers or public disclosures.
Coming in 3 weeks
VLM Benchmark
Where vision-language models actually fail.
A high-difficulty evaluation suite testing vision-language models on complex, real-world scenarios that standard academic benchmarks consistently miss. Tasks span professional document analysis, multi-panel scientific reasoning, and visually ambiguous decision-making — designed so that current frontier models face genuine difficulty.
Evaluation dimensions
- Multi-page document understanding
- Scientific figure interpretation
- Visual ambiguity and edge-case reasoning
- Cross-modal consistency
- Professional context grounding
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Office Workflow Benchmark
The professional tasks models claim they can do.
Systematic evaluation of model performance across professional office workflows. Goes beyond single-turn QA to test multi-step reasoning across documents, formats, and tools — the kind of work a capable knowledge worker does every day, and the kind where current models consistently underperform against expectation.
Evaluation dimensions
- Cross-format document synthesis
- Multi-step task planning and execution
- Spreadsheet and structured data reasoning
- Email and communication drafting under constraints
- Tool-use and workflow orchestration
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Want a custom benchmark?
We work with frontier labs to design evaluation suites tailored to specific capability gaps. Get in touch to discuss your needs.