Who we are.

Real court outcomes are technically public and practically inaccessible. We built the ingestion pipeline, normalization logic, feature engineering and labeling methodology that turns them into a usable record.

We validate to actuarial standards, not demo standards. Time-aware train/test splits. Calibration curves. Leakage remediation. Every model in production has documentation that can survive technical diligence.

Criterica Intelligence measures and prices risk. Criterica Capital funds it, priced from the same record. The number a funder sees is the number an advance was priced on.

Make risk measurable, priceable and financeable.

Outcomes decided by courts, regulators and contracts can be measured against the record. We build the method that does it, and the capital that prices from it.

The reference standard for risk intelligence.

Same file, same number, every time. That is the standard we hold our work to.

Every prediction is decomposed into its contributing factors. Every output is auditable. Nothing is opaque. Built to withstand Daubert review.

Outcomes come from trained, validated models. Language generation handles the communication. The science does the knowing.

When the model says 70%, it is right about 70% of the time. That single property is what separates a prediction from a well-written guess.

Jack spent three decades building decision intelligence infrastructure for medicine — at Medtronic, as CSO of ImpediMed, and as CEO of ASX-listed Medibio. The problem was identical everywhere: high-stakes decisions, made under uncertainty, without validated outcome data to ground them.

Evidence-based medicine emerged from systematic measurement, variability studies, and calibrated outcome models. Law is thirty years behind that inflection point. Splitifi is the infrastructure for that transition — the same discipline, applied to a different domain.