Services
Fine-tuning and Evals
Models tuned to your data, and the evaluations that prove they work.
How we see the problem
Own your intelligence.
Leverage your data to create models that outperform your competition.
- 01
Establish evaluation
Leveraging your data or public benchmarks, we create evaluation cycles that can prove real value to the result.
- 02
Automated RL on evals
Reinforcement learning trains the model against that score, and the next run has to beat the last one.
- 03
Fine-tuned open weights
An open-weight model, tuned on your data and run where you need it. The same evals prove it got better, and the weights are yours.
What we do
The real failures that prove a model are the ones that train it.
We build the eval harness first: real failures labeled by systems or experts who can judge the right answer. Then we tune, or decide not to, against that baseline. When we tune, evals guide changes to the agent harness or model weights. An open-weight model tuned on your data can run where you need it: in your cloud, on-premises, air-gapped, or on portable GPU servers at the edge.
Real failures, labeled by the systems or experts who can judge the right answer.
Every change scored against the baseline; analysts run scenarios before customers see it.
Open source base models, run on-premises, in a private cloud, air-gapped or at the edge.
A new or cheaper model is scored against your cases before anyone switches.
How the work runs
Your team can point to whether the model got better.
- 01Audit
The production model’s real failures labeled by systems or experts.
- 02Baseline
The harness stood up and the current model scored.
- 03Tune, or don’t
Measured against the baseline either way.
- 04Hand over
The test set, the grader and the retraining runbook.
Case studies
Where we’ve put it to work.
Other services
Seven more ways we put AI to work.
- AI TransformationWe write your AI roadmap, build it, and hand it to your team.
- AI SDLCOne agent-ready flow from idea to merged code, scaled team by team.
- AI for GTM & FinanceA data foundation for go-to-market and finance, then the agents that run on it.
- ML and Enterprise ForecastingForecasting at enterprise scale, like forecasting Black Friday demand to plan staffing.
- AI Cost OptimizationSeeing where AI spend goes and bringing it down without losing quality.
- Custom Agent and App DevelopmentAgents and AI applications built for one workflow and run in production.
- Context and Knowledge GraphsTurning what your company knows into context your AI systems can use.