Building the verified control layer enterprise infrastructure depends on

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The emergence of

Emergence

From solving equations with language models to building the verified runtime for autonomous enterprise systems, every step has been deliberate, foundational, and pointed toward one goal - advancing the science of safe, deterministic agents for the world’s most complex industries.

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.

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In the news

Featured coverage and industry recognition

The Emergence team

We are researchers and engineers building the foundations of autonomous systems

Our team includes alumni of IBM Watson, Google Brain, the Allen Institute for AI, Amazon, Meta, and leading research institutions worldwide. With over 25 PhDs across applied mathematics, machine learning, and systems engineering, we are united by one mission: making large-scale autonomous AI verifiable, dependable, and real.