The dataset is the moat.
Base models are a commodity. The training and evaluation data around them is what makes a model yours. We build both: curated instruction pairs for training, and held-out, never-in-training sets for evaluation.
Designed coverage, verified quality.
Scraped data gives you the internet’s average. A designed dataset gives you your domain, your terminology and your judgment, with every example checked before it trains anything.
Scenario matrix
A deterministic grid of situations (profile, event, ask) so coverage is planned, not accidental.
Exemplars and synthesis
Hand-reviewed exemplars set the bar. Larger models fill the matrix under strict constraints.
Quality gates
Truncation gate, style judge, a math verifier that recomputes every figure, a second independent verifier, then a blinded expert panel.
Leak test and ship
Client and brand data scrubbed before training, verified absent after. Eval prompts are never in the training set.
From our shipped adapters.
Evaluation sets you can run yourself.
Every model we publish ships with the held-out prompts it was judged on, so the numbers on the Models page can be reproduced.
b2b-marketing-eval
Held-out B2B marketing prompts used to blind-judge the marketing adapters against their base.
- Positioning, briefs and on-brand assets
- Fabrication traps for invented statistics
- JSON, ready for any judge harness
cfo-advisory-eval
38 hand-written advisory scenarios that were never in training, with calibration and fabrication probes.
- Scenario advisory quality
- Calibration probes on current rates
- Metric-not-computable traps
Golden datasets for solutions
For a vertical solution, your own experts annotate what elite looks like. That becomes the rubric the model is tuned and tested against.
- Annotated by your trainers and evaluators
- Defines mandatory terms and ideal phrasing
- Drives both tuning and continuous regression tests
Start with the data.
We will map the scenarios your model must handle, then build and gate the dataset before a single training run. No pitch deck. Just a technical conversation.