For Startups

Formal Guarantees Without the PhD

Ship AI features with enterprise-grade verification. AI agents handle the formalism. You describe what you want. The runtime enforces guarantees.

The Verification Gap

Enterprise customers increasingly require formal verification of AI systems. Due diligence checklists are getting longer. "How do you ensure your AI behaves correctly?" is a question you'll hear in every procurement conversation.

Traditional formal methods require specialized expertise. Hiring verification engineers is expensive and slow. Most startups ship without verification and hope nothing breaks.

AYIOS closes this gap. AI agents do the formal specification work. You describe intent. The runtime enforces guarantees.

Traditional vs. AYIOS

Hire verification engineers AI handles formalism
Learn specification languages Describe intent naturally
Rewrite for verification Add via FFI bindings
Ship and hope Runtime enforcement

AI-First Formal Verification

Describe what you want. AI agents translate to formal specifications. The runtime enforces guarantees.

Natural Language to Formal Spec

Describe constraints in plain language. AI agents translate your intent into formal specifications that capture the meaning, not just the syntax. No PhD required.

Runtime Enforcement

Specifications execute directly with semantic integrity enforcement. Violations are caught with full context: what failed, why, and the path to the failure.

Bidirectional Tracing

Complete round-trip from spec to execution and back. Debug by inspecting intent, not implementation. Explain to customers exactly what your AI will and won't do.

Verification as Competitive Moat

Enterprise sales cycles are getting harder. Procurement teams demand evidence that AI systems behave correctly. Competitors without verification lose deals to those who can prove correctness.

AYIOS lets you answer "yes" to verification questions without building a formal methods team. Ship with the same guarantees as companies with 10x your headcount.

When enterprise customers ask how you ensure AI correctness, you'll have an answer they can verify—not just documentation, but runtime enforcement they can audit.

  • Win enterprise deals Answer verification questions that competitors can't
  • Reduce support burden Catch violations before they become customer issues
  • Build customer trust Provide audit trails that prove correct behavior
  • Future-proof compliance Regulatory requirements are expanding—be ready

Add to Your Existing Stack

FFI bindings for Python, TypeScript, and Rust. No rewrite required.

Python

Async bindings with native exception translation. Add verification to your FastAPI or Django app.

from ayios import verify @verify async def process(data): ...

TypeScript

Native bindings for Node.js and browser. Type-safe contracts for your Next.js or Express app.

import { semantic } from 'ayios' const validated = await semantic.check(input)

Rust

Direct integration with zero-cost abstractions where possible. For performance-critical paths.

use ayios::prelude::*; #[semantic] fn transform(x: &Data) -> Result<Output>

Join the Developer Preview

AYIOS is currently in development. Preview access available for startups building AI-powered products.