
Work Here?
Emergence builds enterprise-grade agentic AI that automates and scales complex workflows using autonomous AI agents and an orchestration platform. The Emergence Orchestrator acts as a meta-agent that plans, executes, and verifies tasks by routing them to the most suitable models or agents, and can create new specialized agents in real time from natural-language prompts. It connects to enterprise apps via APIs or by navigating web interfaces, supporting modern and legacy tools, with components like an Agent Registry, an Agent SDK, autonomous navigation, and policy governance for reliability. It differentiates itself through real-time agent creation (recursive intelligence), multi-agent collaboration, and enterprise compatibility, supported by partnerships and leadership with deep AI experience, aiming to enable scalable, automated enterprise workflows.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Debt Financing
Total Funding
$100M
Headquarters
New York City, New York
Founded
2023
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
Total Funding
$100M
Above
Industry Average
Funded Over
2 Rounds
Remote Work Options
Flexible Work Hours
Professional Development Budget
Conference Attendance Budget
Arga Labs is building a better way to train enterprise AI agents. Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV An Making AI agents work in practice is a lot harder than many companies expected - but there's help on the way. A new crop of startups is finding better ways to test and train those agents before they get deployed, particularly on the complexities of the modern enterprise. Arga Labs is one such company, which announced its $10 million seed round on Wednesday. The round was led by General Catalyst with participation from Box Group, Emergence, Gradient, and SV Angel. Arga Labs builds training environments for enterprise software like Salesforce, Workday, and email clients. Where most testing environments settle for a stateless API end point, Arga builds a full-scale digital twin of the program, effectively cloning an entire enterprise program with permission systems and web hooks intact. The result is a more robust way to train agents across multiple systems. CEO and co-founder Phillip Li gives the example of a prospective client creating a lead in Salesforce, while their colleague reaches out separately through HubSpot. "Can the agent correctly identify that these two are the same company?" Li says. "Are they able to check whether or not they've only sent the email once? Are they able to identify who to send the email to out of the two opportunities?" Agentic systems still struggle with this kind of ambiguity - and he sees Arga Labs' tools as critical to helping them improve. Normally, the agent could be trained for a task like this through reinforcement learning: essentially, running the scenario tens of thousands of times and letting only the successful strategies through. But the nature of enterprise software makes that scale of testing nearly impossible. There's no easy way to "reset" a system like Salesforce or Outlook when you need to run the same scenario again, much less clone it Arga Labs' solution is to create a digital re-creation of that software - replicating its structure the way a crash-test dummy replicates a person. Because Arga has complete control over the environment, it's simple to reset or modify. The company can also run many environments at once, training agents on the complex interactions between different programs. The idea is to replicate a person's full work environment, with specific tasks overlapping between different programs and knowledge systems. You can think of it as a way to close the reinforcement gap between coding and other applications. Part of the reason AI coding tools have advanced so quickly is that IntelPro already have sophisticated tools for deploying, reversing, and analyzing new code. Those tools make it much easier to set up RL environments for coding, which lets IntelPro test and train AI systems on increasingly complex coding tasks. Those tools don't exist for most business software - yet. But once they do, you can expect AI systems to get much better at using those programs, revolutionizing other industries the same way they've revolutionized coding. General Catalysts' managing director, Yuri Sagalov, who also runs the firm's seed program, says he sees a growing need for agentic testing tools like Arga. "I think that a lot of the economic value from agents is from using business applications," Sagalov told TechCrunch. "Having a repeatable sandbox environment is very important, and much more important with agents than it was with humans."
Emergence, a frontier agentic AI lab, has appointed Ian Eslick as chief executive officer. Eslick will lead commercial growth and enterprise adoption of Emergence's autonomous AI technology. Co-founder Dr Satya Nitta transitions to executive chairman to focus on long-term scientific vision and the company's neuroformal AI architecture. Eslick brings over 25 years of technology leadership experience. He previously served as senior vice president of infrastructure and technology strategy at SoFi. Earlier, he founded Silicon Spice, an MIT spinout acquired by Broadcom for $1.2 billion. Emergence's neuroformal approach combines neural AI adaptability with formal methods' mathematical rigour, creating verifiable autonomous AI systems for mission-critical enterprise deployment across financial services, telecommunications, robotics and autonomous vehicles.
Emergence AI to hire 500 researchers at new India AI lab. Times of India Technology Mar 18, 2026 Bengaluru: Emergence AI, the New York-based frontier agentic AI company founded by three Indian-American scientists from IBM Research, has launched Emergence India Labs (EIL) to develop autonomous AI agents. The lab aims to accelerate the creation of...
Emergence, a New York-based frontier AI company founded by three former IBM Research scientists, has launched Emergence India Labs in Bengaluru. The lab will focus on developing autonomous AI agents for advanced manufacturing and industrial automation. The company plans to invest tens of millions of dollars initially and scale to approximately 500 research scientists and engineers over three to four years. Siddhartha Gadgil, a professor at the Indian Institute of Science, will join as chief scientist whilst retaining his academic affiliation. The lab's platform uses an orchestrator that generates and coordinates multiple AI agents for enterprise workflows with minimal human input. It addresses safety concerns through formal verification methods, using mathematical proof assistants like Lean to guarantee agent behaviour in high-stakes industrial settings.
Luma Acquires Tonic | MedEvolve Announces Acquisition by Emergence | MRO Acquires Clinetic. Check out today's featured companies who have recently completed an M&A deal, and be sure to check out the full list of past healthcare IT M&A. Luma Acquires Tonic, Taking on Healthcare Bottlenecks for Over 1,000 Health Systems and 100 Million Patients Luma Health today announced that it has acquired Tonic Health from R1. Tonic Health is a leading provider in dynamic intake, e-consents, and patient-reported outcomes. The acquisition advances Luma's mission to automate busywork, reduce staff friction, and make it simpler for patients to access care with its AI-native platform, and demonstrates Luma's commitment to serving health systems using Oracle Health EHRs. Today, Luma serves more than 1/3 of people in the United States, as well as patients in the United Kingdom, Canada, and the Caribbean. The acquisition expands Luma's reach to more than 1,000 health systems - including more than 15 of the United States' leading academic medical centers - and 100 million patients currently served. Luma acquired Tonic as part of a year of rapid growth, including recognition as one of INC's 5,000 Fastest-Growing Private Companies for the second time, record ARR for the fifth straight year, expansion to Canada, the United Kingdom, and the Caribbean, and deployment of AI across its suite of products supporting patient readiness. Since its founding in 2010, Tonic has established a significant footprint serving healthcare organizations using Oracle Health EHRs. Together, the combined team will innovate to help health systems across the US and beyond address some of their most persistent operational challenges - particularly leading up to and following patient visits. "Major health systems rely on both Luma and Tonic to cut out manual coordination between staff and patients and get patients ready for care," said Aditya Bansod, Co-Founder and CTO at Luma. "We've long admired Tonic's focus on EHR and partner integration, designing products that work for patients and healthcare providers, and making patient intake and follow-up simpler, and we're thrilled to welcome them to Luma. Together, we dramatically reduce the effort to successfully coordinate care, freeing short-staffed teams from manual tracking and follow-up so our customers' resources go farther." Healthcare organizations face an urgent need for more staff capacity to coordinate patients' care, and that need can't be solved with the budget and resources available... MedEvolve Announces Acquisition by Emergence to Accelerate AI-Driven Revenue Cycle Transformation MedEvolve, Inc., a pioneer in AI-powered revenue cycle automation and analytics, today announced its acquisition by Emergence, an enterprise backed by The Pritzker Organization. The strategic transaction combines MedEvolve's Effective Intelligence platform - which integrates workflow automation, analytics, benchmarks, and generative AI - with Emergence's long-term orientation and deep software expertise. MedEvolve's technology captures millions of workflow actions across the revenue cycle, creating a proprietary dataset combined with advanced algorithms that power a new generation of industry benchmarks. These benchmarks give leaders real-time visibility into workforce performance, process breakdowns, and technology gaps. "Coming out of management consulting in 2006, I saw the opportunity to develop software, specifically workflow automation and analytics, that could drive accountability and measurable performance across the complex revenue cycle," said Matt Seefeld, CEO at MedEvolve. "Nearly twenty years later, that vision is more urgent than ever as healthcare organizations fight to maintain financial solvency. With Emergence behind us, we will accelerate development of new AI capabilities to help healthcare organizations meet our new benchmarks, expand operational capacity across the revenue cycle, and reclaim margin lost to administrative waste so they can focus on delivering exceptional clinical care to their communities." Healthcare providers are facing unprecedented financial pressure as costs rise, patient responsibility increases, and payers deploy AI to deny claims - all while uncompensated care continues to climb... MRO Accelerates Clinical Research Innovation with the Acquisition of Clinetic MRO announces the acquisition of Clinetic, a leading recruitment management platform designed to help healthcare organizations and life sciences companies find, screen, and enroll patients for clinical trials with greater speed and precision. The addition of Clinetic's AI-driven software and expertise marks another step forward in MRO's commitment to being the single source for smarter data - merging progressive technology and deep clinical expertise to advance patient care and healthcare innovation. "Partnering with more than 2,000 hospitals and health systems, we have seen first-hand the challenges facing hospitals that want to bring clinical studies to their patient population, but lack the resources, technology, or expertise to complete the process," said Lidia Bernik, President of Curation Solutions. "By adding Clinetic to our existing platform, we can start delivering a 'human-in-the-loop' solution at scale. This will translate to more efficient research at our sites and higher success for clinical research sponsors on a national level." Clinetic's software integrates directly with provider electronic health record (EHR) systems by installing secure, behind-the-firewall connectors. This enables direct access to comprehensive historical and clinical data needed to meet the unique requirements of each clinical trial protocol. By tapping into this real-time data layer, research teams can efficiently identify eligible patients across a wide range of therapeutic areas, build more precise cohorts, and plan studies with greater confidence. "Clinetic has strong roots in healthcare, already evaluating the data of more than 15 million patients across the US," said Tom Kaminski, Clinetic CEO...
Find jobs on Simplify and start your career today
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Debt Financing
Total Funding
$100M
Headquarters
New York City, New York
Founded
2023
Find jobs on Simplify and start your career today