Binah-Σ: Cognitive Decision Engine
Enterprise-grade API for structured decision evaluation. Unlike generative chat systems, Binah-Σ produces auditable, structured outputs suitable for enterprise governance, ESG compliance, and policy analysis.
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Production-ready cognitive decision infrastructure
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Platform Interface
Decision Analysis Output
Structured evaluation with metrics
Binah-Σ Identity
Cognitive decision infrastructure
Download the complete architecture documentation including API specs, deployment guides, and roadmap.
Download Architecture Documentation (MD)The Problem
Traditional AI tools produce text output that cannot be audited. For critical decisions in governance, compliance, and finance, organizations need structured, measurable outputs that can be reviewed, compared, and traced.
- ✗Chatbots produce text, not actionable metrics
- ✗No audit trail for regulatory compliance
- ✗Cannot compare decisions systematically over time
- ✗Consulting is expensive ($50K+) and slow (6 weeks)
The Solution: Structured Decision Evaluation
Binah-Σ is not a chatbot. It's a cognitive infrastructure that decomposes complexity (Binah) and synthesizes coherence (Σ) into measurable outputs.
Traditional AI
- • Produces text
- • Not auditable
- • No metrics
- • Conversational use case
Binah-Σ
- • Structured evaluation
- • Native auditability
- • Numerical indices (0-1)
- • Critical decision-making
Architecture
┌─────────────────┐
│ Client/API │
└────────┬────────┘
│
▼
┌──────────────────────┐
│ FastAPI Gateway │
│ - CORS │
│ - Rate Limiting │
│ - Validation │
└────────┬─────────────┘
│
▼
┌──────────────────────┐
│ Binah-Σ Engine │
│ - Prompt Orchestr. │
│ - LLM Call │
│ - JSON Enforcement │
└────────┬─────────────┘
│
▼
┌──────────────────────┐
│ Pydantic Validation │
│ - Schema Check │
│ - Type Enforcement │
└────────┬─────────────┘
│
┌────┴────┐
▼ ▼
┌────────┐ ┌─────────┐
│Logging │ │ Metrics │
└────────┘ └─────────┘API Response Schema
| Field | Type |
|---|---|
| binah_sigma_index | 0.0-1.0 |
| binah_sigma_confidence | 0.0-1.0 |
| decision_coherence | Low|Medium|High |
| ethical_alignment | Aligned|Partial|Misaligned |
| systemic_risk | Low|Medium|High|Critical |
| key_tensions | ["string"] |
| unintended_consequences | ["string"] |
| binah_recommendation | string |
| explanation_summary | string |
Primary Use Cases
Competitive Advantages
Technical
- Schema-First: Outputs are contracts, not suggestions
- Vendor Agnostic: Swap LLM providers easily
- Audit Trail: Every decision is logged
- Metrics: Build longitudinal quality datasets
Business
- Not a Chatbot: Critical infrastructure positioning
- Compliance-Ready: Structured for regulatory review
- Scalable: Metered API, not seat-based
- Data Moat: Aggregated decision benchmarks
Example Request
POST /binah-sigma/analyze
{
"context": "Tech company considering mass layoffs",
"decision_question": "Should we lay off 30% of workforce?",
"stakeholders": ["employees", "investors", "customers"],
"constraints": ["budget deficit", "market pressure"],
"time_horizon": "6 months"
}Ready for Auditable AI Decisions?
Binah-Σ is production-ready. Integrate structured decision evaluation into your enterprise workflow.