The Infrastructure Layer for Trustworthy AI
$67.4B lost to AI hallucinations in 2024. 95% of enterprise AI pilots fail to deliver measurable ROI. These failures share a root cause: AI generates code, and code depreciates. We build infrastructure where the primary artifact—the specification—appreciates instead.
What if specifications could appreciate?
Software depreciates from the moment it ships. Frameworks change, platforms evolve, requirements drift. Every line of code—human or AI-generated—is worth less tomorrow.
The $50B AI code generation market produces code faster. But faster depreciation is still depreciation.
What if the primary artifact got more valuable with time? What if every AI interaction refined, not eroded, the truth?
3 patents filed (USPTO Patent Pending) | 20+ in pipeline | Production validated
The Golden Spec Thesis
Code—human or AI-generated—depreciates from the moment it ships. But the specification that produced it captures business truth. When that specification is the primary artifact, every AI interaction refines it rather than eroding it.
We build the platform where this inversion works. One specification generates CRUD operations, business flows, role-adaptive views, and API documentation. No code generation. No generated vulnerabilities. No drift, because there is only one artifact—and it appreciates.
We build the platform for appreciating assets.
Thoughtworks named Specification-Driven Development as 2025's key emerging practice. We are the only commercial implementation with compile-time validation and runtime enforcement.
The Paradigm Inversion
Schema IS Implementation
Traditional: Requirements → Design → Code → Test → Document → Maintain. With our platform: Requirements → Schema → Deploy. Tests are derived. Documentation IS the schema. No drift because there is only one artifact.
AI as First-Class Developer
AI agents propose schema changes, not code that might be wrong. The compiler validates semantic correctness before anything runs. Humans review what the system should do, not how it does it.
Violations as Data
When something fails, you get structured JSON with mereological paths—not exception strings to parse. AI agents can reason about failures. Every violation includes what failed, why, and the exact path from whole to part.
AYIOS — The AI-Native Application Stack
One specification generates CRUD, flows, views, and OpenAPI. Three runtime surfaces from a single Rust core. 37 MCP tools for AI agent integration.
mxto.ai — AI-Powered Mendix Development
130+ MCP tools give Claude Code complete understanding of Mendix applications. 19,126 microflows analyzed. Explore. Debug. Develop. Deploy.
Where We Sit
The AI code generation market ($50B+ in valuations) proved that AI reshapes software development. But every player in that market produces depreciating output—code that requires maintenance, testing, and eventual replacement.
We occupy the only quadrant that combines appreciating specifications with runtime enforcement. Cursor validated the market. We serve it correctly.
Research from ICSE 2026 demonstrates that dual-layer enforcement—compile-time validation plus runtime guarantees—prevents over 90% of unsafe AI agent actions.
(academic only)
(no enforcement)
Enterprise Integration
Existing low-code platforms generate applications. We model them semantically.
Our tools analyze enterprise application logic—microflows, business rules, entity models—and produce semantic representations that enable automated compliance verification, cross-application search, and specification extraction from running systems.
Currently validated with a major low-code platform used by Fortune 500 enterprises. Over 100,000 lines of enterprise logic analyzed across financial compliance and loan origination systems.
- Compliance VerificationAutomated semantic analysis of enterprise application logic against regulatory requirements
- Cross-Application SearchSemantic queries across enterprise systems: "what business rules affect account balance?"
- Specification ExtractionExtract formal specifications from existing applications—the inverse of code generation
- EU AI Act ReadinessEnforcement deadline August 2, 2026. Penalties up to EUR 35M or 7% of global turnover. Only 18% of organizations have governance frameworks in place.
Connect With Us
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