Emergence AI

Agents that create and orchestrate other agents for enterprise work

Hand-reviewed by the Toolglade team·Updated Aug 2026

ai-agents#ai-agents#orchestration#enterprise#data-automation

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Toolglade’s take

Emergence AI's "agents creating agents" orchestration is an ambitious, genuinely differentiated approach, backed by a serious team and substantial funding. It is enterprise-focused, so expect custom engagements rather than self-serve signup, and treat the meta-agent claims as things to validate on your own workflows — dynamic multi-agent systems are powerful but can be harder to make reliable and debuggable. Best for enterprises with complex, varied automation needs and the resources to pilot carefully.

About Emergence AI

Emergence AI builds an enterprise agent orchestration platform based on "Agents Creating Agents" — a system that spins up and coordinates swarms of specialized agents on the fly to automate complex, dynamic workflows. Its products include CRAFT, a natural-language, self-serve platform for data automation. Led by a former IBM Research AI leader and backed by a large Series A, it targets enterprises with complex automation needs and is sold via custom engagements.

Emergence AI is a New York-based startup building enterprise agent orchestration. Its signature idea is "Agents Creating Agents": rather than a single fixed agent, the system can spin up swarms of specialized agents on the fly, chaining and deploying them to handle complex, multi-step enterprise workflows. This meta-agent approach aims to automate work that is too varied or dynamic for a single hard-coded automation. The company's products include CRAFT, described as a natural-language, self-serve platform for data automation, letting users describe outcomes and have agents build and run the necessary pipelines. Emergence positions itself for enterprise data and workflow automation, where orchestration, reliability, and scale matter more than a single chat interface. Emergence AI is led by CEO Satya Nitta, formerly head of global AI solutions at IBM Research, and has offices across the US, Spain, and India. It raised a large Series A (reported around $97M) with Learn Capital leading. As an enterprise-focused platform in a fast-moving category, buyers should validate specific capabilities and reliability against their own workflows.

TL;DR

Emergence AI builds an enterprise agent orchestration platform based on 'Agents Creating Agents,' spinning up and coordinating swarms of specialized agents to automate complex, dynamic workflows. Its CRAFT product enables natural-language data automation. Led by a former IBM Research AI leader and backed by a large Series A (~$97M), it targets enterprises and sells via custom engagements rather than self-serve plans.

Company overview

Emergence AI is a New York-headquartered startup, with offices in California, Spain, and India, led by CEO Satya Nitta, the former head of global AI solutions at IBM Research. It focuses on enterprise agent orchestration.

The company pioneered the concept of 'Agents Creating Agents,' where the system builds, trains, and deploys new specialized agents in real time to handle complex enterprise work.

Product features

Emergence's platform chains and deploys swarms of autonomous agents that can spin up additional agents on the fly, decomposing complex tasks dynamically. This orchestration approach targets workflows too varied for single, hard-coded automations.

Its CRAFT product is a natural-language, self-serve platform for data automation, letting users describe outcomes and have agents build and run the required pipelines. The emphasis is on scale, orchestration, and reliability for enterprise use.

Target market

Enterprises with complex, dynamic automation and data-workflow needs that exceed what single-purpose agents or traditional RPA can handle, and that have the resources to pilot advanced multi-agent systems.

Buyer personas

End users

Data engineers, operations teams, and technical staff who define and monitor automated workflows.

Buyers

Enterprise leaders in data, IT, or operations investing in agentic automation at scale.

Key influencers

Architects and AI/ML leads evaluating orchestration platforms, plus reliability and security stakeholders.

Ideal customer profile

A large enterprise with complex, varied automation and data needs that wants dynamic multi-agent orchestration and has the engineering capacity to pilot and integrate it.

Funding & performance

Emergence AI raised a large Series A reported at around $97M in 2024, with Learn Capital as lead investor. No additional publicly confirmed 2026 rounds appear in current sources.

Pros & cons

Pros

Differentiated 'agents creating agents' orchestration
Handles dynamic tasks a single agent can't
CRAFT enables natural-language data automation
Strong leadership (ex-IBM Research)
Substantial funding and enterprise focus
Designed for scale and complex workflows

Cons

Enterprise-only; no self-serve or free tier
Dynamic multi-agent systems can be hard to debug
Reliability must be validated per workflow
Limited public pricing and product detail
Young company in a fast-moving category
Requires engineering resources to adopt

Pricing plans

Enterprise

Custom

Agent orchestration platform
CRAFT data automation
Custom integrations
Dedicated support

Key features

API

Team collaboration

Integrations

Data pipelines, Enterprise systems, APIs, CRAFT data automation

Input types

text, data

Output types

actions, data, workflows

Best For

orchestrating multi-agent workflows, enterprise data automation, dynamic task decomposition, scaling complex automation

Compare key features

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Feature

Emergence AI

Twin

Dust

Pricing

Paid

Freemium

Free plan

Yes

Free trial

API

Yes

Team support

Yes

Frequently asked questions

What does Emergence AI do?+

It builds an enterprise agent orchestration platform where agents create and coordinate other specialized agents on the fly to automate complex, dynamic workflows, including data automation via its CRAFT product.

What is 'Agents Creating Agents'?+

It's Emergence's approach where the system spins up swarms of specialized agents in real time to decompose and execute complex tasks, rather than relying on a single fixed agent.

How much does Emergence AI cost?+

It doesn't publish pricing; it's an enterprise platform sold via custom engagements. Verify pricing and packaging directly with the vendor.

Who leads Emergence AI?+

It's led by CEO Satya Nitta, formerly head of global AI solutions at IBM Research, with offices across the US, Spain, and India.

Is Emergence AI well funded?+

Yes. It raised a large Series A reported at around $97M, led by Learn Capital.