The barrier isn't intelligence.
It's control.

Our mission is to close the gap between AI's promise and enterprise reality by building the verified runtime that makes large-scale autonomous AI safe, deterministic, and production-grade for the world's most critical systems.

The Emergence of Emergence

A look at our journey so far—how we went from solving equations with language to orchestrating networks of autonomous agents. Each step, a layer in the foundation of what's next.

2023-2024

Math, visualized by language

Emergence made a significant advancement in workflow automation through an agent that controls tools such as math solvers and graphing calculators to create complex mathematical visualizations based on natural language instructions.

May 2024

Agent-E takes control

Emergence released Agent-E, a robust web control agent, which becomes best in class, beating existing state of the art by 10-30% on established benchmarks and receiving mentions from leaders across the agentic AI field.

December 2024

Orchestrating the future

Emergence released the Orchestrator, its flagship product empowering enterprises to manage and coordinate multiple autonomous agents at run-time across different domains.

March 2025

Agents that build other agents

Emergence unveiled agents creating agents, a no code, natural language, AI-powered multi-agent builder that represents the next step into the agentic frontier.

Emergence visualization
"

The greatest achievements of human cognition may be largely emergent phenomena. It remains a challenge for the future to learn more about how these greatest achievements arise and to emulate them in artificial systems.

"
James McClelland
* J. L. McClelland / Topics in Cognitive Science 2 (2010)

We are inspired by this challenge and at the heart of our technology development efforts is the fundamental quest to build deeply intelligent systems where multiple distributed intelligent modules or agents work with each other and solve tasks cooperatively.