01
Corporate intelligence
Normalize company, sector, market, risk, and qualitative evidence into versioned signal artifacts.
Governed intelligence infrastructure
Evidence in. Decision intelligence out.
ACI-IPS turns dated corporate evidence into reproducible scores, explainable forecasts, calibrated model learning, and risk-aware investment decision support.
Deterministic
Explainable
Version controlled
Score artifact preview
Reference Engine · v0.2
Deterministic
Composite score
76/ 100
Confidence0.82
Business quality84
Forward durability78
Valuation support66
Risk resilience73
Policy bundle locked
Open explainability
Illustrative interface only. Values are mock presentation data, not a live security recommendation.
Governance baseline
Master Spec v1.4
Default horizon
12-month forward TSR
Model objective
Sector-relative ranking
Calibration rule
No outcome leakage
Platform architecture
Built as an intelligence system, not a black-box stock picker.
ACI-IPS separates evidence, scoring policy, calibration, and decisions into governed layers so the platform can improve without losing reproducibility or auditability.
02
Deterministic scoring
Apply locked policy bundles and transparent weighting rules so identical inputs reproduce identical outputs.
03
Forward calibration
Compare prediction snapshots with later outcomes and produce bounded, auditable model-delta reports.
04
Decision support
Translate scored evidence into position guidance, scenario ranges, confidence, and risk-aware decision cards.
Evidence-to-decision pipeline
A traceable workflow from source to position.
Each stage emits a contract-driven artifact that can be validated, compared, and reproduced independently.
01
Ingest
Capture dated evidence with source, cutoff, lineage, and quality metadata.
02
Normalize
Map evidence into the governed signal dictionary and comparable feature contracts.
03
Score
Execute deterministic policy bundles and generate a versioned score artifact.
04
Explain
Expose signal contribution, confidence, limitations, and model assumptions.
05
Calibrate
Compare forecast and outcome without backfilling or single-case overfitting.
06
Decide
Publish scenario-aware decision support with governance and review gates.
Evidence lineage
Source → signal → score
Run identity
Policy + data fingerprint
Calibration
Snapshot → outcome → delta
Governance
Bounded changes only
Governance by design
Model evolution without model amnesia.
Learning is permitted only through auditable model-delta reports, bounded weight changes, added pre-cutoff signals, and approved rubric or rule refinement.
Master Spec v1.4
Canonical governance baseline and schema contract.
Versioned artifacts
Signals, policies, scores, cases, and decisions retain lineage.
Explainability required
No score is complete without contribution and limitation context.
Current build track
From governed reference engine to a deployable intelligence platform.
The new application foundation is structured for phased integration of existing ACI-IPS artifacts, models, cases, and decision workflows.