CODITECT
The Autonomous Platform for Regulated Enterprise Transformation
The Problem
85% of enterprise AI transformations fail in regulated industries.
| Market Signal | Impact |
|---|---|
| <50% AI projects generate positive ROI (WSJ) | $B wasted on failed pilots |
| Biggest failures: security, legal, compliance | Trust deficit in AI tooling |
| $50B+ custom software crisis in healthcare | Massive unmet demand |
| Tool sprawl: 10+ point solutions per enterprise | Integration failures, compliance gaps |
Root Cause: General-purpose AI tools treat compliance as an afterthought.
The Solution
CODITECT: Autonomous orchestration across three enterprise domains—with compliance built in.
┌─────────────────────────────────────────────────────────┐
│ CODITECT PLATFORM │
├───────────────┬─────────────────┬───────────────────────┤
│ SOFTWARE │ BUSINESS │ OPERATIONAL │
│ DEVELOPMENT │ DEVELOPMENT │ AUTOMATION │
├───────────────┼─────────────────┼───────────────────────┤
│ • Code gen │ • Proposals │ • Document mgmt │
│ • Testing │ • Research │ • Data operations │
│ • Architecture│ • Competitive │ • Workflow automation │
│ • Documentation│ intelligence │ • Reporting │
├───────────────┴─────────────────┴───────────────────────┤
│ UNIFIED COMPLIANCE LAYER (Native) │
│ FDA 21 CFR Part 11 | HIPAA | SOC2 | SOX | GDPR │
├─────────────────────────────────────────────────────────┤
│ CONTINUOUS AUDIT TRAIL │
└─────────────────────────────────────────────────────────┘
Market Positioning
High Autonomy
│
GitHub Copilot ─────┼───── Cursor / Claude Code
│
Low Compliance ──────┼────── High Compliance
│
Microsoft Copilot │ ★ CODITECT
(Workflow assist) │ (Uncontested)
│
Low Autonomy
White Space: High Autonomy + High Compliance + Three-Domain Integration
Impact Metrics
| Domain | Traditional | With Coditect | Improvement |
|---|---|---|---|
| Development: Time to regulated feature | 14-30 weeks | 1-2 weeks | 7-15x |
| Business: RFP response cycle | 3-5 days | 4-8 hours | 6-10x |
| Operations: Audit preparation | 2-4 weeks | Real-time | Eliminated |
| Compliance: Documentation effort | 40 hrs/feature | Automatic | 100% |
Competitive Moat
| Advantage | Description |
|---|---|
| Founder Expertise | 30+ years healthcare/fintech (GRAIL, Oracle, Capgemini) |
| Architecture | Multi-agent orchestration, FoundationDB, Rust/WASM |
| Compliance-Native | Built from architecture up, not retrofitted |
| Three-Domain | Only platform spanning dev + business + operations |
| Market Timing | Entering as AI ROI crisis validates specialized need |
Target Market
Primary: Healthcare & Fintech enterprises (50-5,000 employees)
| Segment | TAM | Pain Point |
|---|---|---|
| Healthcare IT | $50B+ | FDA/HIPAA compliance burden |
| Fintech | $30B+ | SOX/SOC2 audit cycles |
| MedTech | $20B+ | 510(k)/DHF requirements |
ICP: Engineering teams of 10-500 with annual dev budgets $5M-$100M
The Ask
Coditect transforms enterprise AI from failed experiments to predictable outcomes.
"The autonomous platform for regulated enterprise transformation—where development, business, and operations converge with compliance built in."
AZ1.AI Inc. | January 2026