Ema
by Ema
Universal AI Employees that finish HR, IT and finance work end to end
Ema is an enterprise agentic AI platform that deploys configurable "AI Employees" — no-code agents that complete routine HR, IT, finance and support work end to end inside existing systems of record. It is aimed at CIOs and CHROs at large enterprises who want packaged, governed agents rather than a build-your-own agent framework, and who need on-premises or air-gapped deployment to satisfy data-sovereignty rules.
Ema, founded in 2023 by former Google and Okta leaders and headquartered in Mountain View, California, sells what it calls Universal AI Employees: no-code agents an enterprise configures with objectives, tools and constraints rather than building from scratch. Two components carry the architecture. A Generative Workflow Engine — a small transformer that emits workflow and orchestration code — decomposes a request into steps, while EmaFusion, a mixture-of-experts layer the company says combines more than 100 public and custom models, routes each step to a cheaper or stronger model; Ema claims this yields accuracy at up to 20x lower cost than calling a single frontier model. The platform ships 250+ prebuilt connectors into HRIS, payroll, identity, device and collaboration systems, and surfaces agents in Slack, Microsoft Teams and voice. On 1 September 2026 Ema launched packaged HR, IT and Finance Hubs — covering onboarding, benefits, headcount planning, asset and access management, ticketing, payroll, timesheets and expenses — alongside an Autopilot builder that composes a multi-step workflow from a single prompt. Wipro, which cites roughly 2.9 million employee queries a year across 240,000+ staff in 65 countries, reports response times falling from days to seconds and a 20% satisfaction gain; Hitachi, ADP, PwC, NTT DATA and AMS are also named as customers. Ema has raised over $61M across three rounds led by Accel and Section 32, with Prosus Ventures, Hitachi Ventures, Wipro Ventures, Sozo Ventures and SCB10X participating, employs roughly 228 people, and supports cloud, on-premises and air-gapped deployment on Azure and Google Cloud with SOC 2, ISO 27001, HIPAA, GDPR and NIST alignment.
A CIO or CHRO at a 10,000+ employee enterprise buried in internal HR, IT and finance tickets who wants packaged, governed agents rather than an agent framework their own engineers must assemble and maintain.
Routine employee-service requests get resolved end to end inside the systems of record they live in — Wipro reports response times dropping from days to seconds across roughly 2.9 million queries a year.
At a Glance
- Category
- AI Agents & Orchestration
- Pricing
- Contact for pricing, Subscription
- Target Market
- CIOs, CTOs, CHROs, Heads of Shared Services, Enterprise Developers
- Deployment
- Cloud-first, Hybrid, Self-hosted
- Founded
- 2023
- Headquarters
- Mountain View, United States
- Team Size
- 201-500
Key Features
- ✓EmaFusion multi-model router
Routes each task across 100+ public and custom models, which Ema says cuts cost up to 20x versus routing everything through one frontier model.
- ✓Generative Workflow Engine
A small transformer generates the workflow and orchestration code at runtime, so agents assemble steps instead of following brittle hardcoded scripts.
- ✓250+ prebuilt enterprise connectors
Integrations into HRIS, payroll, identity, device and collaboration systems let agents act in real systems of record, not just answer questions.
- ✓HR, IT and Finance Hubs
Packaged AI Employees for onboarding, benefits, access management, ticketing, payroll and expenses, launched 1 September 2026 for fast deployment.
- ✓Autopilot builder
Composes a dynamic multi-step workflow from a single natural-language prompt, so non-engineers can stand up a new agent without developer time.
- ✓On-premises and air-gapped deployment
Runs inside the customer's own Azure or Google Cloud tenancy to satisfy data-sovereignty and regulated-industry constraints that block shared SaaS.
Capabilities
Use Cases
- •Enterprise employee service desk
Wipro routes roughly 2.9 million annual employee queries through Ema and reports response times dropping from days to seconds with a 20% satisfaction gain.
- •Contingent workforce administration
AMS applies Ema to contingent workforce management, automating candidate and onboarding administration that previously consumed human coordinator time.
- •IT access and asset provisioning
Agents handle access requests, device assignment and identity changes by acting directly in the identity, MDM and ticketing systems rather than escalating.
- •Finance back-office operations
Payroll queries, timesheet follow-ups and expense review are completed end to end instead of queuing for a shared-services analyst to action.
- •Regulated-sector agent deployment
Banks, healthcare and defence-adjacent organisations run Ema on-premises or air-gapped so employee data never leaves their own cloud tenancy.
Ideal For
Best For
- ✓Automating HR service desk work — onboarding, benefits questions, policy lookups — against an existing HRIS
- ✓IT service management: access requests, asset and identity provisioning, and first-line ticket triage
- ✓Finance operations such as payroll queries, timesheet chasing and expense review
- ✓Regulated enterprises that need agents deployed on-premises or air-gapped inside their own Azure or Google Cloud tenancy
- ✓Global shared-service centres consolidating multilingual employee support across Slack, Teams and voice
Not Ideal For
- ✗Engineering teams that want a low-level agent framework they control in code — Ema is a configured platform, not a library like LangGraph or CrewAI
- ✗Small and mid-market buyers: contracting is quote-only enterprise sales with no self-serve tier and no published price anywhere
- ✗Buyers who insist on cross-checking a vendor against independent reviews before signing — Ema has effectively no public G2, Capterra or Gartner Peer Insights review corpus, and no practitioner discussion on Hacker News or Reddit
Deployment
Market Analysis
Pros
- ✓Named, checkable enterprise references with concrete numbers — Wipro's ~2.9M queries a year, days-to-seconds response, 20% satisfaction gain
- ✓Packaged HR, IT and Finance Hubs shorten time to first working agent versus a blank agent-building canvas
- ✓Broad compliance posture (SOC 2, ISO 27001, HIPAA, GDPR, NIST CSF/RMF/800-171) plus on-premises and air-gapped options
- ✓250+ prebuilt connectors mean agents act in systems of record instead of stopping at retrieval and answering
Cons
- ✗No published pricing of any kind and no self-serve trial, so cost cannot be benchmarked before entering a sales cycle
- ✗Effectively no independent review corpus — G2 and Capterra return nothing usable, there is no Gartner Peer Insights entry, and Hacker News contains only an Ema hiring post rather than practitioner experience
- ✗The headline EmaFusion claims (100+ models, accuracy at up to 20x lower cost) are vendor benchmarks with no published third-party evaluation or methodology
- ✗On-premises support is limited to Azure and Google Cloud; no AWS on-premises path is documented
- ✗Competes at ~$61M raised against Microsoft, UiPath and Writer, all with far deeper enterprise distribution into the same HR and IT budget
Pricing
Enterprise
Contact for pricing
- ✓Prebuilt AI Employees for HR, IT and Finance
- ✓250+ enterprise connectors
- ✓EmaFusion multi-model routing
- ✓Cloud, on-premises or air-gapped deployment
Ema publishes no pricing at all — the pricing page is a demo request form, there is no free tier or self-serve trial, and every engagement runs through enterprise sales. Because deployment scope spans packaged Hubs, connector count and whether you need on-premises or air-gapped hosting, buyers should expect a bespoke annual contract and should benchmark it against Microsoft Copilot Studio and Agent365 list pricing, which is public, before negotiating.
Security & Compliance
Sources
This page was written from 6 sources, 3 on domains other than ema.ai.
- 1.ema.ai — ema.aivendor
- 2.globenewswire.com — ema launches hr it and finance hub to help enterprises put a
- 3.venturebeat.com — ema raises 36m to build universal ai employees for enterpris
- 4.tracxn.com — ksb3jUKrtsxUjw6V pJ Daac843jAQUG62LqeRWEGJ0
- 5.ema.ai — ema revolutionizes enterprise ai new funding ai employee buivendor
- 6.ema.ai — pricingvendor
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