Corporate intelligence
Normalize company, sector, market, risk, and qualitative evidence into versioned signal artifacts.
The web platform separates the analyst experience from model execution, data contracts, calibration, and deployment controls. This allows each layer to evolve without compromising reproducibility.
Each capability remains independently testable and connected through typed artifact contracts.
Normalize company, sector, market, risk, and qualitative evidence into versioned signal artifacts.
Apply locked policy bundles and transparent weighting rules so identical inputs reproduce identical outputs.
Compare prediction snapshots with later outcomes and produce bounded, auditable model-delta reports.
Translate scored evidence into position guidance, scenario ranges, confidence, and risk-aware decision cards.
The initial scaffold is designed to accept prior ACI-IPS artifacts incrementally rather than forcing a rewrite of governed logic.
Public site, analyst workspace, dashboards, reports, case review
Evidence intake, scoring runs, calibration, scenarios, decisions
Signals, policies, score artifacts, outcomes, model deltas, position cards
PostgreSQL-compatible persistence, artifact storage, version lineage
GitHub Actions, Vercel previews, observability, audit and release controls
Capture dated evidence with source, cutoff, lineage, and quality metadata.
Map evidence into the governed signal dictionary and comparable feature contracts.
Execute deterministic policy bundles and generate a versioned score artifact.
Expose signal contribution, confidence, limitations, and model assumptions.
Compare forecast and outcome without backfilling or single-case overfitting.
Publish scenario-aware decision support with governance and review gates.