Agentify your data: pipelines, ops, analytics, governance, and more.
Our mission
Step into the agentic frontier with us
Watch the Emergence founders AMA
Can AI build new AI? At Emergence, we’re developing systems that can build, train, and deploy new AI agents on the fly. Sign up for our first AMA and bring questions.
Towards autonomous agents and recursive intelligence.
Discover our technology, which enables agents to autonomously create, evolve, and collaborate within self-assembling multi-agent systems.
Preview our capabilities
Watch a short demo on our system’s capability to generate new agents on the fly.
Explore our platform
Our agents are designed to evolve with your business, assembling the optimal system of agents for every task and intelligently creating new agents as needed to get the job done.
Get things done with our curated agents and the agents you create on the fly
Collaborating with
Use Cases
Research Analysis
Extract and summarize key technological breakthroughs and their relevance to AI agents from DeepMind’s latest research papers, publishing insights directly to Confluence for research team review.
Ecommerce Platform Competitive Analysis
Compare key homepage advantages and primary value propositions of Shopify, BigCommerce, Wix Stores, and Squarespace Commerce, and assess their calls-to-action effectiveness. Summarize findings directly in Confluence with Slack notifications.
Health Insurance Insights
Identify and summarize recent investments, network expansions, and acquisitions of the top 5 health insurance companies, highlighting key financial metrics and strategic directions.
Gene Therapy Market Analysis
Search recent SEC filings from gene therapy companies, summarize their market strategies and risk disclosures, and publish insights directly to Confluence.
WHO’s Global Nutrition Report
Extract and summarize key statistics and section-wise trends (e.g., stunting, obesity, malnutrition) from WHO’s Global Nutrition Report.
FAQs
Emergence is building a best-in-class agentic platform for automating, optimizing, and scaling enterprise workflows with precision and adaptability. The platform comprises self-improving agents built by Emergence, in addition to variant agents that the platform creates when necessary. Through a plan-execute-verify framework, our platform efficiently identifies the best composition of agents that work for a given task, and iterates on these agents as needed to dynamically solve a superset of tasks in several domains such as test automation or data intelligence.
Emergence partners with companies across a broad range of industries ranging from supply chain management to semi-conductor manufacturing. Any company aiming to simplify complex workflows, manage diverse applications, and/or enhance system integration should be thinking about the potential of multi-agent systems.
The Orchestrator Platform dynamically plans workflow execution during design time or when the environment changes (including changes in the functionality of applications and agents) and locks the working plans to be used during run-time where the environment is as expected. The Orchestrator’s dynamic planning capabilities enable it to flexibly address a wide range of enterprise use cases, spanning from QA test automation to data-centered chat. Our approach to agentic systems building is grounded in modern distributed computing principles, which offers key benefits such as: scalability, greater fault tolerance and reliability, and improved adaptability to environmental changes (e.g. databases, applications, and services).
Our platform is built with integration and interoperability in mind; customers bring their own tools, data, and AI (models and agents). Our platform currently includes the Agent Registry (which catalogues Emergence, enterprise-specific, and third-party agents), services and data registries that connect these agents with tools/apps/data, and an Agent Software Development Kit to introduce non-Emergence agents in the platform. We also offer flexible deployment options for optimal scalability, security, and compatibility with existing systems.
We base our annual contract pricing on several factors, which include solution complexity, number of solutions used, and usage volumes. Once we speak about your enterprise’s specific needs, we can customize a quote for you.
Still have questions?
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