Intelligent agents, seamlessly orchestrated.
At Emergence, we’re advancing the science and development of AI agents.
An all-in-one agent that routes queries to optimal solving agents.
Web Control Agent
Enterprise RAG Agent
Any agent you need
Web control agent
Enterprise RAG agent
Any agent you need
Our Orchestrator is a key infrastructural element to any agent system.
Emergence’s Orchestrator is a meta-agent that intelligently routes tasks to the most optimal LLM or agent. This includes purpose-built models that offer state-of-the-art performance at a fraction of the cost of generalist models. Our LLM fine-tuning capabilities also enable us to create such models on demand.
Adapt to an agent-driven world.
Proper AI integration will determine which enterprises will lead, and which will fall behind, in the emerging agent-driven era. Our tools for building and orchestrating AI agents will allow for dramatic improvements in productivity and cost. Scalably and efficiently future-proof your enterprise with intelligent routing, advanced agent capabilities, and no vendor lock-in.
Control web browsers with our AI agent.
Imagine every system in your organization seamlessly interconnected and automated. We’re building the infrastructure to make this future possible. Explore our open-source web-agent, Agent-E designed to seamlessly integrate with enterprise systems and interact with web interfaces, automating complex workflows and multiple aspects of human-computer interaction
Our researchers and engineers are driving this transformation. They’ve worked on some of the world's most scalable AI systems including IBM Watson, Twitter, Alexa, and Amazon Video.
FROM THE JOURNAL
Emergence Blog
October 9, 2024
Building Innate Knowledge into Modality-Agnostic AI Systems
A new paper explores how to encode specific innate knowledge into AI systems that are agnostic to the sensory modality of their inputs.
October 31, 2024
Exploring the Functional Roles of Transformer Layers
A new paper, "Transformer Layers as Painters," co-written by Emergence researchers and Sakana AI, investigates the internal workings of transformers, focusing on how the removal or reorganization of information impacts pretrained models.
September 8, 2024
Our Agent-E SOTA Results on the WebVoyager Benchmark
We evaluated our Agent-E with the WebVoyager benchmark.
September 8, 2024
Reliable Synthetic Data Generation
As we’ve seen the rapidly rising impact of LLMs, we’ve also seen the growing importance of “synthetic data,” generated instructional raw text used to train LLMs.
September 8, 2024
The Emergence of Emergence
Emergence is a compelling phenomenon observable both in natural systems and in engineered designs, where complex behaviors and patterns arise from simple interactions.