AI Training & Evaluation
We create fine-tuning datasets, build benchmarks and agentic tasks, and run multi-model evaluations for teams training and shipping LLMs — with quality control at every step.
The problems we solve
Public test sets end up in training data. We build private, held-out tasks your model has never seen.
Inconsistent labels and shallow reasoning teach the wrong lessons. Our data is written by vetted domain experts and reviewed before it ships.
Weak checks reward shortcuts. Our verifiers are deterministic, validated against a reference solution, and hardened so a model can’t pass without solving the task.
Impressions aren’t evidence. We run multiple attempts per model and report pass rates and failure patterns, not anecdotes.
What we offer
Expert-written training data for supervised fine-tuning and preference learning, reviewed before delivery.
Realistic, held-out tasks in containerised environments — each with clear instructions, automated tests and a validated reference solution.
Multi-run evaluations across models that report pass rates and failure patterns, not impressions.
Independent review of datasets and tasks, and hardening so models can’t pass by gaming the grader.
What makes us different
Every task ships with a reference solution that scores full marks, so you know a failure is the model’s, not the task’s.
We calibrate difficulty with multi-run evaluations on current models and remove tasks that are broken rather than hard.
Multi-stage review with a clear keep, fix or reject decision on every item, and an audit trail you can inspect.
Proven paths
Expert-written prompts, responses and reasoning traces, reviewed in multiple stages before delivery.
AI training partner (under NDA)→
Containerised agentic tasks with hardened verifiers, validated reference solutions and multi-run model evaluations.
AI training partner (under NDA)→
Tell us what you’re measuring. We can share a sample task under NDA.
Request a sample task