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QUANTITAS.
High-signal training and evaluation data for frontier intelligence. Engineered by experts. Trusted by the labs building tomorrow.
We build the data that builds the models.
Frontier data collection
A vetted global network of domain specialists — engineers, researchers, analysts, clinicians, legal counsel — generates instruction data at the edge of model capability.
Multi-pass expert annotation
Layered review by domain experts, calibrated against rubrics that evolve with the model. Every label is traceable to its annotator, reviewer, and decision rationale.
RLHF & preference data
High-fidelity comparisons, rankings and critiques designed for reward modeling and DPO. Calibrated across difficulty bands so the signal scales with the model.
Red team & evaluation
Adversarial prompts, edge-case datasets and bespoke benchmarks for alignment, safety and capability evaluation — built by people who know where models break.
Signal over scale.
We do not sell rows. We deliver decisions — every datapoint is reasoned, reviewed and signed. Frontier models are bottlenecked on judgement, not volume.
Our work is built for the small number of teams pushing the ceiling of what models can do. Throughput, calibration and provenance are non-negotiable.
QUANTITAS · DATA PROTOCOLv0.4// every datapoint carries its proof datum { prompt → "…", response → "…", rubric → scored, annotator → verified.expert, review_chain → [author, peer, lead], provenance → signed, confidence → 0.97 } // no synthetic dilution · no anonymous labor