Service · 03
Preference data, calibrated to your model.
Reward modeling, preference pairs, and instruction-tuning data for any post-training stack.
Ready in days, not weeksProvenance on every datapointvraify / pipeline
What we deliver
Spec, deliver, verify. Every engagement scoped with your post-training team.
SFT
+Prompt-response pair generation, single & multi-turn
+Instruction-following datasets (Open QA, summarization, rewrite)
+Domain-specific instruction tuning
+Persona-based response writing
RLHF
+Pairwise preference ranking
+Side-by-side model comparison
+Best-of-N selection with rationale
+Reward model training data
+Multi-criteria scoring (helpfulness, accuracy, safety, tone)
DPO
+Chosen/rejected preference pair generation
+Calibrated rankings
+Multi-attribute preference labeling
Next step
Calibrate your reward stack.
Pilot with a small batch — calibrated to your reward model in week one.