Criterica Intelligence launches Atlas — the regulated outcomes intelligence backbone.
Atlas is the data, model, and decision infrastructure layer beneath every Criterica Intelligence product. The seven-component architecture — Ontology, Data Layer, Model Layer, Decision Layer, Workflow Layer, Audit Trail, and API — unifies the full production model fleet and the real court records corpus into a single queryable operating infrastructure. Atlas is not an application. It is the layer everything else runs on.
First Principles: how Criterica builds regulated outcomes intelligence that institutions can trust.
Criterica Intelligence publishes its six first principles for building reliable outcome prediction infrastructure. The document covers real data requirements, jurisdiction-specific model architecture, reliable probability outputs where a 70 percent prediction is right about 70 percent of the time, performance promotion gates, audit-first go-to-market strategy, and the role of capital in validating intelligence. The principles are now the framework by which every Criterica model is trained, validated, and deployed.
Criterica Intelligence launches on the Splitifi legal data science platform.
Criterica Intelligence is developed and owned by Splitifi. The production outcome model fleet and court-records infrastructure powering every Criterica product are Splitifi-built assets — jurisdiction-specific models trained across federal circuits, state courts, and international tribunals on real filed records. Criterica is the institutional identity under which that platform serves regulated outcomes markets.
Criterica launches as the structured prediction infrastructure layer for regulated industries.
The company emerges from stealth with a fleet of production outcome models and a proprietary court records database spanning federal, state, and international jurisdictions. Purpose-built for litigation funders, insurers, and institutional capital allocators.