Fundraising Fox

Ema

Mountain View, US · Founded 2023 · 9 known investors

Find your way into Ema

1,957 people in our graph share verified history with the Ema team — schools, employers, funds. One of them is your warm intro.

Nancy Wangunlockedknows Surojit Chatterjee · together at Google (overlapped)
×5knows the team · via Google
knows the team · via IBM T. J. Watson Research Center, Hawthorne, New York
knows the team · via Hewlett-Packard Laboratories
×2knows the team · via Coinbase
knows the team · via MIT Sloan School of Management

Ema is an enterprise platform for building "AI Employees" from plain-language intent, with agents that self-optimize and are grounded in a company's own context. Its EmaFusion technology combines over 100 AI models in real time, routing each request to the best model to improve accuracy while lowering cost and latency.

Also known as Ema

Founders & leadership

Ema was founded in 2023 by Surojit Chatterjee and Souvik Sen.

SCSurojit Chatterjee
Surojit Chatterjeein𝕏Co-Founder & CEOSurojit Chatterjee founded Ema in 2023 after serving as Chief Product Officer at Coinbase and VP at Google, where he led Google Shopping and scaled Google Mobile Ads. He holds an MBA from MIT Sloan and a B.Tech from IIT Kharagpur, and has 40 U.S. patents and published research in AI and data systems.
SSSouvik Sen
Souvik SeninCo-Founder & CTOCo-founder and CTO of Ema, an AI agent platform for enterprises. Sen previously held VP Engineering roles at Okta overseeing data, ML, and security products, and built Google's Privacy & Safety ML organization while working on ads quality systems; he holds a PhD from Duke and has authored 45+ patents and approximately 30 publications.

Investors · 9

Also in the syndicate · 1

Creaegis

Funding

SEC filings, press & company announcements

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Aug 2026

Ema builds and sells "AI Employees" — configurable AI agents that enterprises deploy to handle routine work in HR, IT and finance functions. In HR, the company positions its agents across the full hire-to-retire journey, covering recruiting, onboarding, benefits administration and performance processes, with a dedicated product, Ema Recruiter, aimed at candidate sourcing and faster hiring. The platform is presented as a single environment in which many workflows are created, run and governed.

The platform has four described stages: agents are built from plain-language intent, then optimized through continuous analysis and automatic refinement, personalized by grounding in a customer's own enterprise context rather than generic templates, and scaled to thousands of workflows and millions of runs. Connectivity is a central claim, with the company citing between 250 and more than 1,000 prebuilt connectors and integrations and delivery through channels employees already use, including Microsoft Teams, Slack and voice interfaces. Ema states deployments can go live in days rather than months, with or without engineering involvement.

Governance and deployment controls are part of the product positioning: on-premises and air-gapped deployment, RBAC/ABAC permissioning from the organization level down to individual actions, PII detection and redaction, immutable audit trails of agent decisions, and configurable human-in-the-loop approval chains. The company lists SOC 2 Type II, ISO 42001, ISO 27001, ISO 27017, ISO 27701, CSA STAR, GDPR and EU AI Act among its compliance and certification references and maintains a trust center.

Business model

Ema sells its AI Employee platform to enterprises, with the stated intent of consolidating SaaS spend. The company describes outcome-based pricing with no unused modules and explicitly contrasts its approach with token-based consumption pricing.

Outcome-based pricing for AI Employees rather than per-module or token-consumption billing, according to the company's own description.

Traction

The company publishes customer case studies and named executive testimonials, including from NTT DATA, and reports platform scale in terms of thousands of workflows and millions of runs, plus a certification set spanning SOC 2 Type II, ISO 42001, ISO 27001 and related standards.

Latest developments

Ema Recruiter, a hiring-focused AI Employee for candidate discovery and faster hiring, is live and promoted as the company's featured product.

Full profile — market position, technology, go-to-market

Market position

Ema positions itself as a horizontal enterprise agent platform spanning HR, IT and finance, differentiating on multi-model fusion, breadth of prebuilt connectors, speed of deployment and enterprise-grade governance and compliance.

Ema's stated differentiators are EmaFusion's real-time combination of 100+ models for each request instead of reliance on a single model, claimed cost advantages of up to 20x with built-in fault tolerance and no model lock-in, a large library of prebuilt connectors, agents built from plain-language intent and grounded in customer-specific context, and security and compliance features such as air-gapped deployment, granular access governance and immutable audit trails.

Technology

The core technology is EmaFusion, a model-fusion layer that combines more than 100 AI models in real time and selects the best set of models for each individual request rather than routing to a single model. Ema claims this yields higher accuracy at up to 20 times lower cost than the best single model, along with lower latency, and provides fault tolerance: if one model suffers an outage or slows down, EmaFusion automatically shifts to others, which the company frames as avoiding vendor lock-in. Surrounding platform capabilities include natural-language agent creation, automatic performance refinement, grounding in enterprise context, on-prem and air-gapped deployment options, RBAC/ABAC governance, PII detection and redaction, and immutable audit trails.

Go-to-market

Direct enterprise sales motion driven through demo requests on the company website, supported by customer case studies and executive testimonials, including one from a global head of business at NTT DATA. Deployment is positioned as fast and low-friction, usable by business teams without engineering support, and delivered inside existing collaboration tools such as Teams and Slack.

Large enterprises deploying automation in HR, IT and finance functions, including buyers such as chief HR officers, culture and employee-experience leaders, and commercial or corporate development executives; one referenced use case involves scaling across contingent workforce processes.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
AI models combined by EmaFusionJan 2025100 models
Cost advantage vs best single modelJan 202520 x lower cost
Prebuilt connectorsJan 20251,000 connectors

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Founder mafia

2 people who came through Ema went on to found or lead other companies.

Timeline · 1

launches, deals, and filings
Jan 2025
Ema Recruiter becomes generally available

Ema announced that Ema Recruiter is live, positioned to help organizations source candidates and hire faster.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

Research sources · 1

primary sources listed
  • Emaema.co · web

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Ema do?
Ema is an enterprise platform for building AI Employees that automate HR, IT and finance workflows.
Who founded Ema?
Ema was founded by Surojit Chatterjee, Souvik Sen in 2023.
Who are Ema's investors?
Ema's investors include Accel, Colle Capital Partners, Frontier Ventures, Hitachi Ventures, SCB 10X, Section 32, Wipro Ventures, Workday Ventures.
Where is Ema headquartered?
Ema is headquartered in Mountain View, US.