We are the research and development foundation behind the RCT Ecosystem — pioneering the shift from static machine learning models to an evolving, Intent-Centric AI Operating System.
RCT Labs solves critical enterprise AI problems at the infrastructural level, not the application level.
Modern enterprises struggle with three critical AI failures:
| Problem | Industry Impact | RCT Labs Solution |
|---|---|---|
| AI Hallucination | 12–15% error rate | SignedAI consensus → 0.3% |
| Lack of Traceability | No audit trail | ED25519 signed execution chain |
| Uncontrolled Model Drift | Silent accuracy decay | Constitutional FDIA governance |
Our 10-layer architecture is mathematically governed by:
FDIA Equation: F = D^I × A
(Future = Data raised to the power of Intent, multiplied by the Architect)
By mandating Human-in-the-loop authorization(A), we guarantee cognitive systems that operate with absolute safety and alignment.
When A = 0, all output is blocked — this is not a setting, it is a mathematical proof.
RCT PLATFORM SDK — 11-Layer Constitutional AI OS
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Layer 11: CI/CD & Quality Gates (GitHub Actions)
Layer 10: Enterprise Hardening (JWT RS256, RBAC, ABAC)
Layer 9: Control Plane — JITNA Wire Schema (RFC-001 v2.0)
Layer 8: Regional Language Adapter (8 markets: ASEAN + JP/KR/CN)
Layer 7: Universal Adapters (13 integrations)
Layer 6: JITNA Protocol — AI-to-AI communication standard
Layer 5: SignedAI — Multi-LLM Consensus (0.3% hallucination)
Layer 4: RCTDB v2.0 — 8-Dimensional Universal Memory
Layer 3: 41 Production Algorithms (Tier 1–9)
Layer 2: OS Primitives (6 Kernel RFCs)
Layer 1: 7 Genome System + Cognitive Kernel
| Protocol | Description | Standard |
|---|---|---|
| JITNA | Just-In-Time Nodal Assembly — AI-to-AI intent wire format | RFC-001 v2.0 |
| SignedAI | Multi-LLM consensus with ED25519 cryptographic attestation | RFC 8032 |
| FDIA | The architectural core for computing verifiable AI outcomes | F = D^I × A |
| Delta Engine | 74% memory compression via incremental state storage | ALGO-10 |
| Metric | RCT Labs | Industry Avg | Delta |
|---|---|---|---|
| Hallucination Rate | 0.3% | 12–15% | 97% reduction |
| Context Compression | 74% lossless | 30–40% | 185% better |
| Intent Recall (Warm) | <50ms | 2–5s | 100x faster |
| FDIA Accuracy | 0.92 | ~0.65 | +41% |
| Test Coverage | 89%+ (public SDK) | 70–80% | Tier-1 quality |
| Enterprise Tests | 4,849 passed · 0 failed | — | Full green suite |
| Resource | Link |
|---|---|
| 📖 Full Documentation | rctlabs.co/en |
| 🔬 Open SDK (Apache 2.0) | rctlabs/rct-platform |
| 📋 JITNA Protocol (RFC-001) | rctlabs.co/en/open-protocol |
| 📚 Research & Whitepapers | rctlabs.co/en/research |
| 🗺️ Roadmap | rctlabs.co/en/roadmap |
| 📧 Enterprise Contact | founder@rctlabs.co |
Maintaining an enterprise-grade AI OS requires substantial cloud computing, secure database clusters, and continuous stress-testing infrastructure.
Corporate sponsorships directly fund:
- 🔬 Open-source maintenance of the JITNA Protocol
- ☁️ Cloud infrastructure for the Meta Evolution Engine (MEE)
- 🧪 Continuous execution of our 4,800+ hypothesis testing framework
- 📖 Ongoing publication of architecture whitepapers
By partnering with us, your organization publicly aligns with the forefront of AI Governance and Secure Constitutional Architecture.
| Tier | Monthly | Benefits |
|---|---|---|
| 🏢 Enterprise Observer | $50/mo | Org name listed in BACKERS.md across all repos |
| 🚀 Innovation Partner | $250/mo | Company logo + direct backlink on rctlabs.co |
| 🌟 Strategic Visionary | $1,000/mo | Premium placement + 1-hour monthly FDIA consultation |
| Role | GitHub | Description |
|---|---|---|
| 🏛️ Solo Architect & Founder | @ittirit720 | Built entire 10-layer AI OS from a flat in Khlong Toei, Bangkok |
🌏 RCT Labs — Constitutional AI for the Intelligence Age
Building secure, human-governed AI infrastructure from Bangkok, Thailand 🇹🇭
