Semantic Identity, Governance, Memory & Meaning Architecture

Your company's rulebook,
compiled into running software.

SiGMMa turns a company's decision-making rules into live, working products — and keeps every decision that product makes consistent with those rules, forever. Constitution defines. Runtime enforces. Applications consume.

How it works

From your words to a running product

The SiGMMa Factory turns plain-language rules into fully governed software — in three simple steps.

Step 1

You describe the rules

Write your company's rules in plain English. "Managers must approve all hiring." That's it. No code needed.

Step 2

The Factory builds it

The Factory reads your rules, understands them, and automatically builds a complete software application.

Step 3

Your product runs

A live application that enforces your rules in every decision. Change a rule? The product updates automatically.

Inside the Factory

Your Rules (Constitution)
"Managers must approve hiring with documented evidence"
Σ
Sigma Engine
Analyzes your rules. Finds connections. Detects conflicts. Checks confidence.
Factory Builder
Generates the application code. Compiles enforcement policies. Creates the product.
Your Product (Live Application)
Runs your business. Every decision checked against your rules. Fully auditable.

Same factory, different products

One factory produces many different products. Just change the constitution (the rules) and the factory builds a completely different application.

HR Platform
Employee management
Legal System
Case management
E-Commerce
Order governance
Asset Tracking
RFID custody chain

All built by the same factory. Different rules = different product.

Who does what

You
Describe your rules in plain language. Review the product. Approve changes.
Σ
Sigma
Reads your rules. Finds patterns. Detects conflicts. Monitors everything 24/7.
The Factory
Takes Sigma's analysis. Generates code. Builds the product. Deploys it.

"Binary integrity ≠ Semantic integrity. A system can have correct, uncorrupted data — and still be semantically broken, because different agents interpret that data under incompatible definitions."

The problem nobody else solves

Policy exists. Everyone has seen it. But meaning drifts.

Through team growth, personnel changes, AI systems, and informal precedents — the meaning of your policy diverges silently. Data stays technically correct while becoming operationally meaningless.

Before SiGMMa
  • 01 Write policy in a Google Doc
  • 02 Developers hard-code rules into the app
  • 03 Rules drift from policy over time
  • 04 Policy changes take months of dev work
  • 05 Audit finds inconsistencies everywhere
  • 06 Manual review of every decision
With SiGMMa
  • 01 Write a constitution (structured rulebook)
  • 02 SiGMMa builds the product automatically
  • 03 Rules enforced in every single decision
  • 04 Policy changes trigger a new build in minutes
  • 05 Audit trail built in from day one
  • 06 Every decision is self-explaining

Business risk

The four risks SiGMMa eliminates

Policy Drift

Staff interpret rules differently over time

Meaning is formally defined in the constitution, not assumed

AI Inconsistency

AI agents make decisions not aligned to policy

Every agent decision validated against the constitution — LLMs propose, CEK validates

Compliance Gaps

No provable audit trail for regulatory review

Full epistemic lineage — reconstruct the reasoning pathway of every decision

Rule Change Cost

Updating a policy requires months of development

Rule change triggers automated rebuild — minutes, not months

How it works

From your rules to a working product

Describe your company in plain language, upload documents, or start from a template. SiGMMa does the rest.

1

Describe

Upload a PDF, type a paragraph, or pick from 5 industry templates. AI builds your constitution.

2

Review

6-layer validation pipeline. Review Council (6 AI agents) scores your governance. Fix issues before building.

3

Preview

Free deterministic preview of your product — no LLM cost. Sketch mode lets you refine interactively.

4

Build

9 automated stages: validation → OPA → blueprint → code gen → preview → analysis → migration → GitHub commit.

5

Govern

Amend your constitution through voting. Breaking changes go to PR. Every decision is auditable.

6

Evolve

Working contexts track your state. Resume from where you left off. Your governance grows with your company.

One-to-many

One constitution, five frameworks

Write your governance rules once. Generate apps in React + Next.js, React + Laravel, Vue + Nuxt, Vue + Laravel, or SvelteKit — all enforced by the same constitutional guarantees.

Your Constitution

Who decides what · What counts as proof · How rules can change

SiGMMa Builder
01
Product App

Human users work in the app

02
Compliance View

Officers see every decision

03
AI Agents

Pre-approved to act within rules

All decisions flow back to the same constitutional record

Core architecture

Every governance decision decomposes into 6 primitives

These are the atomic units of semantic governance — not database columns. Together they form a complete, auditable meaning graph.

Identity

What entities ARE. Persistent, versionable semantic definitions — not labels, but canonical meaning everyone agrees on.

Claims

Assertions about semantic state backed by evidence. "Employee X is Active" is a claim that can be challenged, not a boolean in a database.

Authority

Who may change what something MEANS. Not access control — semantic authority over definitions, state transitions, and interpretations.

Evidence

Proof supporting claims — with strength, expiry, and sufficiency rules. Like memories that earn truth through consistent validation.

Interpretations

How semantic states are understood in context. "Active" means benefits-eligible in HR but billable in Finance — made explicit.

Contradictions

Conflicts between semantic assertions detected automatically — authority overlaps, circular transitions, incompatible interpretations.

What we prevent

5 semantic failure dynamics, monitored continuously

These are the ways meaning silently breaks down. Existing infrastructure ignores all five. SiGMMa detects them in real-time.

FD1

Definitional Drift

Core terms evolve without propagating revised validity constraints. MDM tracks data, not meaning. Git tracks files, not interpretations.

FD2

Interpretive Divergence

Same artifacts get incompatible meanings across systems. Ontologies define structure — nothing else governs behavioral interpretation.

FD3

Evidence Discontinuity

Claims persist beyond evidentiary sufficiency. No other platform links evidence validity windows to semantic state transitions.

FD4

Authority Fragmentation

Conflicting semantic legitimacy assertions from multiple agents. RBAC controls access — nothing governs who may change what something MEANS.

FD5

AI-Induced Semantic Mutation

LLMs introduce high-frequency meaning transformations governance can't track. Every AI builder accelerates this. Only SiGMMa governs it.

Constitutional model

6-layer constitutional hierarchy

Each layer constrains the layer below it. No lower layer may contradict, weaken, or redefine guarantees established above.

L1
Meta ConstitutionHighest authority

Amendment procedures, precedence rules, constitutional form itself

L2
Core Constitution

Platform-wide semantic guarantees, validity-state invariants, governance zones

L3
CEK Constitution

Determinism requirements, validation pipeline rules, replay guarantees

L4
Specialized Layers

Vertical constitutions — your product-specific rules, validated against layers above

L5
Runtime Implementation

Technology choices satisfying constitutional guarantees (replaceable)

L6
Applications

Generated products consuming enforcement bundles + SGE stream

Constitution defines WHAT. Runtime defines HOW. If they conflict, constitution prevails.

Architecture

Three components, one governance engine

SiGMMa Core

Event Store

Runtime governance engine (always on)

Constitutional object model, state transition validation, amendment procedures, temporal semantics, event-sourced history

SGE

Real-time

Situation Generation Engine (real-time)

Translates semantic state changes into Situation Objects — routed to the right surface at the right time

Builder

Tooling

Development tooling (build-time)

Ingests constitutions, validates, compiles OPA bundles, generates multi-stack app code. Never becomes a constitutional authority.

Generated product

Four work surfaces, automatically routed

SiGMMa routes information to the right surface based on urgency, authority level, and action required.

Home

Ambient Awareness

Low-urgency signals, quick acknowledgements — new relationships detected, time-sensitive items approaching

Desk

Active Work Queue

Things requiring deliberate action — overdue follow-ups, knowledge conflicts to resolve, unowned documents

Studio

Reflective Work

Strategic thinking and synthesis — definitions that could merge, preparation opportunities, emergent insight clusters

Review

Governance Decisions

Authority-level decisions — amendment approval, high-stakes reviews, flagged decisions awaiting approval

AI safety boundary

LLMs propose. The kernel decides.

The Constitutional Execution Kernel (CEK) is deterministic. No LLM, no network call, no stochastic operation may influence validation or commit decisions.

LLMs may
  • Propose amendments and changes
  • Analyze constitutions and suggest improvements
  • Extract definitions from documents
  • Read projections and event logs
LLMs must never
  • Participate in canonical validation
  • Influence commit or replay operations
  • Modify the constitution directly
  • Operate inside the CEK boundary

What's new

Three capabilities no other platform has

Decision tracing, AI transparency, and content intelligence — built into every generated product.

Decision Trace System

NEW

Trace every decision to its inputs, assumptions, and authority. Know exactly why decisions were made — and get alerted when assumptions break.

  • 6 command lifecycle: Create → Draft → Propose → Commit → Reject → Supersede
  • 7-stage validation with deterministic commit hash
  • Real-time stability monitoring: Stable → Weakened → Unstable
  • Assumption linking with snapshot-hash change detection

AI Transparency Monitor

NEW

Every AI action is logged with model, confidence, and governance impact. Low confidence triggers human review. Deterministic methods run first.

  • Inline confidence badges on all AI-produced content
  • Confidence < 50% → human review required
  • Deterministic heuristics before LLM — AI only when needed
  • Full audit log: model, tokens, cost, governance action

Content Intelligence

NEW

Upload documents. Claims are automatically extracted, entities linked across documents, and contradictions detected — feeding directly into decision stability.

  • 5 claim types: Fact, Metric, Assumption, Prediction, Opinion
  • Cross-document entity resolution and linking
  • Contradiction detection with confidence-gated governance
  • Snapshot hashing for automatic change detection

Builder platform

Tools for writing, validating, and deploying constitutions

Builder is development tooling — it never becomes a constitutional authority.

AI Counsellor

New

Chat with an AI governance expert to discover your rules. It asks the right questions, extracts definitions, and builds your constitution with you — stage by stage.

8-Stage Formal Compiler

V3

Constitution → AST → Symbols → IR → Lint → Resolve → Emit → Signed Package. Every rule classified into 5 normative primitives. Deterministic, reproducible, auditable.

Visual Semantic Editor

Editor

8 interactive panels — identity, claims, authorities, evidence, interpretations, contradictions, amendments, validation. Undo/redo, real-time conflict detection.

9-Stage Build Pipeline

Pipeline

Validation → OPA → Review Council → Blueprint → Stack Render → E2B Preview → LLM Analysis → Migration → GitHub Commit. Free preview before any paid LLM calls.

Review Council

Safety

6 AI agents (Advocate, Skeptic, Domain Expert, Ethics, Devil's Advocate, Adversarial Tester) score every constitution with ConfMAD consensus. Trust, not trust-me.

Industry Templates

Templates

5 pre-built constitutions — HR, Healthcare, E-commerce, Education, Project Management. GDPR, HIPAA, SOC 2 regulation packs built in.

Amendment Voting

Governance

Propose, vote, and ratify constitutional changes with quorum rules, plain-English diffs, layer-based authority gates, and full impact analysis.

5-Stack Generation

Stacks

React + Next.js, React + Laravel, Vue + Nuxt, Vue + Laravel, SvelteKit. One constitution generates governed apps across all 5 frameworks.

Working Contexts

V2

Pause your work, come back tomorrow. SiGMMa tracks your position, unresolved items, and trajectory — then generates a deterministic re-entry projection.

GitHub Integration

Integration

Auto-commit approved amendments, open PRs for breaking changes, push semver tags, and trigger builds from webhooks. Dual-repo pipeline.

Compliance & Audit

Compliance

Map GDPR, SOC 2, HIPAA to constitutional definitions. HMAC-signed audit exports, W3C PROV-O provenance chains, evidence bundles per regulation.

Health Dashboard

Monitoring

Monitor all 5 failure dynamics in real-time. Validity heatmaps, evidence decay, drift detection, meaning version tracking, adversarial stress tests.

sigmma.app/health
Constitutional Health
Real-time monitoring of the 5 Failure Dynamics
OverviewValidity HeatmapEvidence DecayAuthority ConflictsSemantic DriftMeaning Drift
Semantic Objects
12
7 valid · 2 warning · 3 expired
Evidence Decay
4 alerts
2 expired
Authority Conflicts
1
Requires resolution
CST Results
7/7
All passing
Event-Sourced

Every decision is an immutable event

Deterministic

Full replay produces identical results

Auditable

W3C PROV-O provenance on every change

Runtime-Agnostic

Technology is replaceable. Guarantees aren't.

Fail-Closed

If governance can't validate, it doesn't proceed

Ready to govern meaning?

Write your constitution. SiGMMa validates, compiles, and enforces — across every application you generate.

Open Builder