We build evaluations for AI models and features: benchmark tasks with sealed reference solutions and hidden tests, regression suites for your AI product, and LLM-as-judge setups checked against human labels. From $6,000, fixed price.
What we build
- Benchmark tasks with reference solutions and hidden tests.
- Regression suites that run on every change to prompts or models.
- LLM-as-judge scoring, checked against human review.
- Dashboards showing quality, latency and cost per version.
Good fit if
- You ship AI features and can't tell if changes help.
- You need a benchmark or hidden-test tasks for model evaluation.
- You want a regression suite before every release.
Built before
PyTorch benchmark tasks for evaluating frontier coding models, each with a sealed reference solution, hidden tests and controlled difficulty.
How we work
- A free scoping call, then a written fixed-scope quote within 24 hours.
- Working software in your environment every week.
- Handover with deployment, monitoring, documentation and full transfer of code and IP. You own everything.
Founder-led: Saif Ur Rehman, a senior engineer with 5+ years and 20+ products shipped, scopes and builds your project himself. See the case studies or book a call.
Frequently asked questions
Why do I need evaluations?
Without them, every prompt or model change is a guess. Evaluations show whether quality went up or down before customers notice.
Can you evaluate our existing AI feature?
Yes. We build a test set from real examples and score the current version first.
How much does it cost?
From $6,000, fixed price.