Explore the agentic frontier with us

Let’s build agents that grow, evolve, and adapt with your business.

Consistently leading the field.

We’re a collaborative group of researchers, engineers, and product specialists focused on solving some of the most complex problems in agentic AI.

The Emergence of Emergence

Sources:

Web agent paper: https://arxiv.org/pdf/2401.13919

Agentic tool control: https://arxiv.org/pdf/2407.17544

The Emergence Team

Our team is comprised of industry experts.

Emergence’s researchers have worked at IBM Watson, Google Brain, the Allen Institute for AI, Amazon, Meta, and more. We collectively have over 25 PhDs.

OUR RESEARCH

Tamer Abuelsaad

Principal Software Engineer

LinkedIn

Yedendra Shrinivasan

Chief Architect

LinkedIn

Rob Smith

Senior Principal Engineer

LinkedIn

Ashish Jagamohan

Distinguished Scientist

LinkedIn

Satya Nitta, PhD​

CEO

LinkedIn

Ravi Kokku, PhD​

CTO

LinkedIn

Sharad Sundararajan

CIO

LinkedIn

Come see why we’re different

Our offices are located in New York, Irvine, India, and Spain. 
Join us in building a society of intelligent agents.

Work with us

Join our community

CrewAI / LangChain

Launch your projects with code examples for CrewAI and LangChain

See how it works

February 6, 2025

More information
February Platform Updates

New features and enhancements—get the lowdown now!

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February 6, 2025

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UPCOMING EVENTS

Building Agentic Systems from First Principles Inspired by Unix and Kubernetes

April 21, 2025

Layer by Layer: A Structured Approach to Benchmarking AI Agents in the Enterprise

April 15, 2025

Beyond the Browser: Benchmarking the Next Generation of Enterprise AI Agents

April 15, 2025

Towards Autonomous Agents and Recursive Intelligence

April 1, 2025

Taming the API Jungle: The Connector Agent's Quest for Perfect API Calls

March 4, 2025

Ensuring Safe and Respectful Online Spaces: A Look at AI-Based Text Moderation

March 4, 2025

Emergence Multi-agent Orchestration: Feb Updates

February 6, 2025

Introducing the Emergence Multi-Agent Orchestrator

December 3, 2024

Benchmarking of AI Agents: A Perspective

December 2, 2024

Benchmarking AI Agents: Key to Building Trust and Driving Scalable Enterprise Adoption

December 2, 2024

Building Innate Knowledge into Modality-Agnostic AI Systems

August 22, 2024

Exploring the Functional Roles of Transformer Layers

August 7, 2024

Our Agent-E SOTA Results on the WebVoyager Benchmark

July 11, 2024

Reliable Synthetic Data Generat­­­ion

July 8, 2024

The Emergence of Emergence

July 5, 2024

Beyond What Comes Next

May 19, 2024

Achieving Self-Improvement in Agentic Systems with Skill Harvesting

May 13, 2024

MathViz-E - Agent Tool Control

April 24, 2024

Distilling the Web for Multi-Agent Automation

April 1, 2024

Introducing Emergence

March 13, 2024

Self-Improving Agents

March 13, 2024

The Anatomy of Agents

March 13, 2024

Building Narrow Self Improving Agents

March 13, 2024

Emergence’s Appropriateness Evaluation Model

March 13, 2024

What we've done together:

SEE INTERNSHIPS
CrewAI / LangChain

Launch your projects with code examples for CrewAI and LangChain

See how it works
February Platform Updates

New features and enhancements—get the lowdown now!

Know more
Solutions Spotlight

Supercharge Data Science and Test Automation with the Emergence platform

See how it works
Meet us at Humanx

See a demo and uncover business value! https://www.humanx.co/

Get more details
Agent Benchmarking Research

Check out our paper covering key methodologies and metrics for benchmarking.

Know more

James McClelland wrote the following in his seminal paper on emergence*:

“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.”

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.

* J. L. McClelland ⁄ Topics in Cognitive Science 2 (2010)