AiNova OS
Système d'exploitation IA de production
35+ agents spécialisés, un moteur de convergence auto-optimisant et une infrastructure d'entreprise — conçu pour les équipes qui ont besoin d'une IA fiable en production.
Why AiNova OS Exists
The Problem
- AI agent frameworks are prototyping tools, not production systems
- No convergence guarantees — outputs vary unpredictably
- Security is an afterthought, not a design principle
- Scaling from demo to enterprise requires a complete rewrite
The Solution
- Purpose-built AI operating system with 35+ specialized agents
- SOIC convergence engine with mathematical proof (μ=9.94/10)
- Enterprise security baked in from day one
- Kubernetes-native infrastructure — scales without rewrites
What Powers AiNova OS
Six foundational capabilities that make AiNova OS a production-grade AI operating system.
SOIC Convergence Engine
Self-Optimizing Intelligence Convergence — mathematically proven quality convergence across 9 dimensions with μ=9.94/10 Gold Master certification.
Tree-of-Thoughts
Advanced decision exploration that evaluates multiple reasoning paths simultaneously, selecting optimal solutions through structured deliberation.
35+ Specialized Agents
Purpose-built agents for every function — from code generation and testing to security auditing and documentation — orchestrated by a central coordinator.
Enterprise Security
Role-based access control, audit trails, input validation, and sandboxed execution — security is a design principle, not a patch.
Multi-LLM Architecture
Vendor-agnostic design supporting OpenAI, Anthropic, Groq, and Ollama — intelligent routing based on cost, latency, and capability.
Kubernetes Native
Docker-containerized with Kubernetes manifests, Prometheus monitoring, and Grafana dashboards — built for horizontal scaling from day one.
Five-Layer Architecture
API Gateway
FastAPI endpoints with authentication, rate limiting, and request validation
Orchestration Engine
SOIC convergence engine + Tree-of-Thoughts decision exploration
Agent Layer
35+ specialized agents with role-based capabilities and sandboxed execution
Infrastructure
PostgreSQL, Redis, Docker, Kubernetes with Prometheus/Grafana monitoring
Integration Layer
MCP protocol bridges, REST APIs, WebSocket connections, n8n workflows
Production Metrics
AiNova OS vs. The Alternatives
How AiNova OS compares to popular AI agent frameworks across 7 critical dimensions.
| AiNova OS | LangGraph | AutoGen | CrewAI | |
|---|---|---|---|---|
| Convergence Engine | ||||
| Multi-Agent Support | ||||
| Production Ready | ||||
| Mathematical Proof | ||||
| Multi-LLM Support | ||||
| Kubernetes Native | ||||
| MCP Protocol Bridge |
Tech Stack
Core
Infrastructure
AI & LLM
Integration
Let's Build Something That Works
Tell us about your project — website, automation, or applied AI. We'll design the system that turns your challenges into competitive advantage.
Start a Conversation