All services
LaunchingDiscuss a pilot
Model training and post-training
Post-training improvement grounded in evaluation evidence: fine-tuning support, preference data and benchmarks. Every run is measured against the baseline, so improvement claims survive internal review.
We support post-training improvement. We do not train foundation models, and we do not claim to.
What the practice covers
Supervised fine-tuning support
Data preparation, run validation and regression evals.
Preference data and human feedback
Expert raters with documented guidelines and agreement checks.
Benchmark creation
Domain benchmarks held out from training.
Evaluation and red teaming
Every improvement is verified against the baseline.