Self-Evolving
Multi-Agent
Systems
Technology of automatic evolution of software code based on LLM. We create agents that improve themselves through synthetic survival of the fittest.
The Dead End
"Static agents are dead agents. Without continuous adaptation, even the best LLM-based prompts become obsolete. We replace manual prompt-engineering with automated evolutionary pressure."
The Engine
Deep-dive into our evolutionary R&D process
Initialization
Launch of the baseline version of the agent (Seed Code).
Simulation (The Gym)
Agent enters a synthetic environment and undergoes 1,000 dialogues per minute.
Meta-Agent (The Mutation)
An LLM-operator analyzes errors and rewrites the agent's code (Diff-patch).
Novelty Filter
Novelty Search algorithm prunes clones via vector embedding analysis. Evolution rewards only true uniqueness.
Deployment
Surviving agent (e.g. v54.0) goes into production.
Our Solutions
ICNC Evolution Engine
SaaS/API cloud platform to launch evolution for your bots. Plug in your agent, set the Fitness Function, and get an optimized version back.
HR-Tech Core
Specialized agent set for recruiting: Screening, Interviews, Scoring. Proven in partnership with "Intelligent Talent Marketplace".
Enterprise Custom AI
Development of closed ecosystems and internal "talent marketplaces" for major corporations.