Ema
Ema is a Mountain View-based enterprise AI company building autonomous "AI Employees" powered by its proprietary EmaFusion mixture-of-experts model and Generative Workflow Engine. It serves large enterprises and mid-market firms across HR, customer support, sales, finance, and healthcare with quote-based SaaS subscriptions.
- Company typePrivate
- Founded2023
- HeadquartersMountain View, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What Ema does
Ema is a Mountain View, California-based enterprise AI company founded in March 2023 by former Google engineers, led by founder and CEO Surojit Chatterjee. The company builds a Universal AI Employee platform composed of configurable, autonomous AI agents that execute end-to-end enterprise workflows in HR, customer support, sales, finance operations, and healthcare-adjacent functions. Ema's reported customer base spans large enterprises (Wipro, Hitachi, ADP, NTT Data, Hospital for Special Surgery, Prime Therapeutics), mid-market firms (Bigblue, Artico Search, Moneyview, Skyflow, David Lloyd Clubs, TrueLayer, Envoy Global, AMS), and select vertical specialists (Lovu Health). Reported outcomes include reducing Wipro HR response time from 48 hours to 5 seconds across 240,000 associates, achieving 70%+ HR efficiency gains and 90%+ accuracy at Hitachi across 40,000+ employees, and lowering time-to-hire by 67% at Artico Search.
Ema's platform is built on two proprietary technical assets: EmaFusion™, a 2T+ parameter mixture-of-experts architecture that orchestrates more than 100 foundation and domain-specific language models to maximize accuracy at the lowest cost and latency, and the Generative Workflow Engine™ (GWE), which decomposes complex enterprise workflows into actionable subtasks. The product surface includes Ema Autopilot, a library of pre-built specialized AI agents, Ema Recruiter (powered by a ~700M-profile proprietary dataset), Voice AI Employee, Document Intelligence, Document Generation, Knowledge Insights, and an App Navigator for cross-application orchestration. The no-code AI Employee Builder (Persona Builder) and on-premises deployment option, combined with SOC 2, HIPAA, GDPR, ISO 42001, and ISO 27001 certifications, position the platform for regulated enterprise buyers.
Ema monetizes through quote-based enterprise SaaS subscriptions, supplemented by usage-based AI agent consumption and professional implementation services for multi-week enterprise rollouts. Go-to-market combines direct enterprise field sales (with named anchors like Wipro, Hitachi, ADP), channel partnerships with Teleperformance, KPMG, and ADP, the Microsoft for Startups Pegasus Program marketplace channel, and a product-led growth motion through the Builder Academy and developer documentation. By 2025 the company reported $15.2M in ARR with a 138-person team, having raised $61M+ across a $25M seed (March 2024) and a $50M Series A (July 2024) led by Accel and Section 32, plus strategic investments from KPMG, SCB 10X, and ADP Ventures.
Ema firmographics
Firmographics- Name
- Ema
- Legal name
- Ema
- Website
- https://ema.co
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Short description
- Ema is a Mountain View-based enterprise AI company building autonomous "AI Employees" powered by its proprietary EmaFusion mixture-of-experts model and Generative Workflow Engine. It serves large enterprises and mid-market firms across HR, customer support, sales, finance, and healthcare with quote-based SaaS subscriptions.
- Ownership category
- akta.pro rank
Ema industry classification
Industry- Product category
- Enterprise Agentic AI Software
- NAICS
- Software Publishers (5132), Software Publishers (513210), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
Keywords
Where Ema is headquartered
LocationHeadquarters
- HQ city
- Mountain View
- HQ country
- United States
- HQ region
- North America
Offices3 records
Markets served
Ema business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise Subscription ARR: Subscription-based annual recurring revenue from enterprise SaaS contracts. Reported $15.2M ARR in 2025 across enterprise customer base including Wipro, Hitachi, ADP, and others.
- Usage-Based AI Agent Consumption: Pricing tied to the actual work performed by AI agents, with industry trend moving toward role-based, outcome-based, and consumption-based models.
- Professional Implementation Services: Phased multi-week enterprise rollouts including custom integrations with ServiceNow, Jira, Okta, Microsoft Teams, Google Chat, OCR, APIs, and database integration.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | — | Quote-based enterprise subscription, no public price list |
Go-to-market motion5 records
Distribution channels7 records
Marketing channels8 records
Ema product offering
Product offeringCore offering
Ema sells an enterprise agentic AI platform (positioned as a Universal AI Employee) that deploys pre-built and custom AI agents to automate end-to-end workflows across HR, customer support, finance operations, and sales/marketing. The platform is powered by the proprietary EmaFusion model orchestration technology and the Generative Workflow Engine, with a no-code AI Employee Builder, on-premises deployment, voice/document/knowledge modules, and the Ema Recruiter sourcing product. Revenue is generated through enterprise subscriptions, usage-based consumption of AI agent work, and phased professional implementation services.
Differentiator
Problem solved
Functional benefit
Brands
- Ema Autopilot: Product for building and running AI Employees
- EmaFusion
- Ema GWE (Generative Workflow Engine)
- Ema Recruiter
Products and services
- Ema Universal AI Employee platform Overarching enterprise agentic AI platform positioned as a Universal AI Employee that learns, adapts, and evolves to boost productivity across every role in the enterprise, spanning employee experience, customer experience, finance operations, and sales/marketing solutions.
- Ema Autopilot Product module for building and running AI Employees, allowing customers to configure, deploy, and operate AI agents across enterprise workflows.
- EmaFusion Proprietary 2T+ parameter model orchestration engine that intelligently blends 100+ public, private, and domain-specific language models to maximize accuracy at the lowest cost and latency.
- Generative Workflow Engine (GWE) Workflow engine that breaks complex enterprise workflows into actionable subtasks and executes them in sequence, enabling conversational building of custom AI Employees 10x faster.
- Pre-built AI Agent Library Library of 100s of pre-built specialized AI agents across categories including Planning & Resources, Generation, Evaluation & Formatting, Analytics, Sales & Marketing, Legal & Compliance, Healthcare & Life Sciences, BFSI, and Technology.
- AI Employee Builder (Persona Builder) No-code conversational platform for building custom AI agents and AI Employees with configurable personas, supporting on-premises deployment for enterprise data residency.
- Ema Recruiter AI-powered recruiting product that uses a proprietary dataset of ~700M profiles to source, enrich, evaluate, and rank candidates via natural language and structured filter search.
- Document Intelligence AI module that transforms enterprise documents into decisions via extraction, summarization, and analysis across HR, legal, finance, and clinical documents.
- Document Generation AI module that creates quality business documents faster using pre-built templates and generative workflows for proposals, contracts, and reports.
- Knowledge Insights AI module that turns enterprise data into insights in seconds through conversational analytics, chart generation, and report synthesis.
- Voice AI Employee Conversational AI Employee module for voice-based multi-turn interactions, delivering results-oriented dialogue for customer support and employee service.
- App Navigator
Quantifiable outcome
- 67% reduction in time-to-hire and 30% lower cost-per-hire at Artico Search
- +7 more outcomes
Companies that use Ema
Customer profileNamed customers14 records
Segments9 records
Ideal customer profiles4 records
Ema technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability16 records
Feature8 records
Ema partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered flagship, core and minor.
- ADPflagshipStrategic partnership to build and deploy AI agents across ADP's HCM platforms, with ADP Ventures making a strategic investment as part of the deal. Leverages Ema's EmaFusion™ technology to automate complex HR and payroll workflows for ADP's global client base.
- Teleperformance (TP)flagshipTP partners with Ema to scale agentic AI for businesses, leveraging TP's global customer experience and BPO delivery network to deploy Ema's AI Employees across enterprise clients.
- ParloacoreParloa partnered with TP and Ema to scale agentic AI for businesses across conversational AI deployments.
- Microsoft (Pegasus Program)flagshipEma was selected for Microsoft for Startups' Pegasus Program, which provides co-sell, marketplace distribution, and enterprise customer introductions through Microsoft's global salesforce.
- Google CloudflagshipJoint solution for automating complex workflows using Ema and Google Cloud to easily create custom AI Employees, including deployment of Ema on Google Cloud infrastructure at Hitachi.
- Lovu HealthcoreLovu Health integrated Ema AI into its patient platform to provide real-time, evidence-based support for pregnant patients and new mothers, addressing high message volume on OB-GYN care teams.
- Hospital for Special Surgery (HSS)coreHSS collaboration to deploy Ema AI agents for patient scheduling, triage, and faster specialist connections to reduce wait times and enhance appointment accuracy.
- CapgeminiminorCapgemini referenced Ema in thought leadership on agentic AI for businesses, indicating consulting partner engagement.
- Insight PartnersminorInsight Partners published an analytical piece featuring Ema within the broader 'intelligence-first' application paradigm and AI Coworkers archetype.
Scale indicators13 records
Recent moves6 records
Expansion highlights6 records
Ema competitors and assessment
Company assessmentDirect peers
- Moveworks: Enterprise AI platform that deploys AI agents for HR, IT support, and employee experience workflows. Directly competes with Ema in the agentic AI employee space, targeting similar Fortune 500 buyers with multi-system workflow automation.
- Aisera: Provider of AI agent platforms for enterprise IT, HR, customer service, and operations. Competes head-to-head with Ema in autonomous AI agents for enterprise workflows, with similar target buyer personas and use cases.
- Kore.ai: Enterprise conversational and agentic AI platform powering customer service, HR, and IT automation. Direct competitor offering AI agents across similar enterprise workflows with comparable GTM approach.
- Amelia (SoundHound AI): Enterprise AI agent platform for customer experience, IT support, and HR automation. Competes with Ema in deploying conversational AI employees for large enterprises with comparable compliance and on-prem positioning.
- Yellow.ai: Enterprise AI agent platform for customer service and employee experience automation. Targets the same enterprise buyers as Ema with multi-LLM agentic architecture and similar vertical focus on BFSI and healthcare.
- Cognigy: Enterprise conversational AI platform with agentic capabilities for customer service automation. Competes with Ema's Customer Experience vertical, particularly in multilingual contact center deployments in Europe.
Emerging players
- Parloa: Berlin-based AI agent platform for enterprise customer service. Partners with Teleperformance alongside Ema; comparable in conversational AI focus but with narrower enterprise footprint and European geographic concentration.
- Workato: Enterprise automation and integration platform (iPaaS) that competes in the workflow orchestration and integration layer adjacent to Ema's Generative Workflow Engine. Overlaps in connecting enterprise systems but lacks Ema's agentic LLM-orchestration capability.
- Capacity: AI-powered support automation platform for customer service and HR workflows. Smaller-scale competitor to Ema with overlap in mid-market customer support and HR automation deployments.
Broad incumbents
- UiPath: Public RPA and automation incumbent expanding into agentic AI with UiPath Autopilot. Competes for enterprise automation budgets but at broader scope; serves as a comparable for where Ema could be positioned if it scales its workflow engine into traditional RPA territory.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Ema social profiles
Digital presenceEma compliance and trust
Trust signalCompliance5 records
Ema financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ema leadership team
Management profileNumber of profiles
Profiles6 records
Ema subsidiaries and ownership
Company hierarchySubsidiaries1 record
Ema funding detail
Funding detailFunding overview
Funding rounds3 records
Investors16 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ema M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Ema
What does Ema do?
Ema sells an enterprise agentic AI platform (positioned as a Universal AI Employee) that deploys pre-built and custom AI agents to automate end-to-end workflows across HR, customer support, finance operations, and sales/marketing. The platform is powered by the proprietary EmaFusion model orchestration technology and the Generative Workflow Engine, with a no-code AI Employee Builder, on-premises deployment, voice/document/knowledge modules, and the Ema Recruiter sourcing product. Revenue is generated through enterprise subscriptions, usage-based consumption of AI agent work, and phased professional implementation services.
Is Ema a public or private company?
Ema is a private company. It is classified as venture growth investor backed and is currently operating.
When was Ema founded?
Ema was founded in 2023. It employs 251 to 500 people.
Where is Ema based?
Ema is headquartered in Mountain View, United States, in the North America region.
How does Ema make money?
Three revenue lines are on record. Enterprise Subscription ARR is the primary driver. The others are usage-Based AI Agent Consumption and professional Implementation Services.
Who are Ema's main competitors?
Direct peers on record are Moveworks, Aisera, Kore.ai, Amelia (SoundHound AI), Yellow.ai and Cognigy. Emerging players are Parloa, Workato and Capacity. UiPath is listed as a broad incumbent.
Does Ema have an API?
Yes. Ema provides developer-facing Builder Docs at builder.ema.ai supporting the AI Employee Builder platform. Ema's External Tool Caller agent supports thousands of actions across 100+ apps through API integrations, and the platform is pre-integrated with over 200 enterprise applications including HR systems, ticketing tools, identity providers, and communication channels. Developer documentation is at builder.ema.ai.
What industry is Ema in?
Ema's product category is Enterprise Agentic AI Software. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 5132 and its SIC code is 7372.