Ema
AI Employees for enterprise HR, IT and finance workflows
Overview
Ema is a Mountain View company selling AI Employees, agents that automate HR, IT and finance work across more than 250 enterprise systems. Its EmaFusion layer routes each request across more than 100 language models. Pricing is quote-based and outcome-based, with a no-card trial at try.ema.ai.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 19 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Demo and guided platform tour
- Self-serve trial with no credit card
- 250+ prebuilt integrations
- On-premises and air-gapped deployment
Use cases
What you can produce with Ema
- An employee help assistant answering HR, IT and payroll questions inside Teams, Slack or voice
- Automated onboarding, benefits, access-management and ticketing workflows from the HR, IT and Finance hubs
- Payroll, timesheet and expense processing handled by pre-trained finance agents
- Custom agents built from a plain-language description, without engineers
- Requests routed across 100+ language models by EmaFusion to balance accuracy and cost
- Audit trails and human-approval steps on every agent decision
- Deployment in Ema's cloud, single-tenant, on premises or fully air-gapped
ASEAN Perspective
Ema in Southeast Asia
Ema is US-headquartered with no publicly documented ASEAN offices or local data centres, but SCB 10X — the venture arm of Thailand's Siam Commercial Bank — participated in its Series A, signalling deliberate interest in Southeast Asian financial services. The platform's cloud-agnostic and on-premise deployment options make it viable for APAC enterprises with strict data-residency requirements, and compliance with ISO 27001 and HIPAA is relevant for Singapore's MAS-regulated financial sector. However, as of mid-2026 there are no named ASEAN customer case studies and no stated support for regional languages such as Bahasa Melayu or Thai, making it an early-stage opportunity rather than a proven ASEAN play.
Ema is a credible enterprise agent platform with a narrower focus than before: HR, IT and finance hubs with ready-made agents, 250-plus integrations, and deployment options up to air-gapped installs. EmaFusion, its multi-model router, comes with a published paper, though Ema wrote it and partly chose the test set.
The customer results, including Wipro's 240,000-employee rollout, are Ema's own reporting, and prices only come after a demo. With $140 million raised and SCB 10X among its investors it has the backing to expand in ASEAN. Shortlist it for HR and IT service automation; insist on a pilot with your own numbers.
What we found
Ema, short for Enterprise Machine Assistant, sells what it calls AI Employees: agents that take on routine work inside a company's existing systems. It started in California in early 2023 under Surojit Chatterjee, formerly Coinbase's chief product officer, came out of stealth in 2024, and is run by Ema Unlimited, Inc. from Mountain View. Its pitch has narrowed. The home page now leads with HR, IT and Finance, and on 1 September 2026 Ema launched hubs for each, with ready-made agents for onboarding, benefits, access and asset management, ticketing, payroll and expenses. A tool called Autopilot, still in early access, builds and maintains agents from a plain-language request.
Under the agents sits EmaFusion, a router that sends each request to a mix of more than 100 models. Ema published the method on arXiv, reporting 94.3% accuracy against 91.7% for the best single model and a 17-point gain over GPT-4 at under a twentieth of the cost. The authors are Ema staff, the chief executive among them, and the 1,567-question test set mixes public benchmarks with Ema's own enterprise tasks; its product page quotes different figures again.
The customer evidence is vendor-published. Ema says its Wipro assistant serves 240,000 staff and handles about 2.9 million queries a year, and that Moneyview saw over 70% of support tickets answered automatically, a figure from the first weeks of a pilot. Its security page lists SOC 2 Type II, several ISO standards, HIPAA and GDPR, with single-tenant, on-premises and air-gapped deployment.
Money is not the constraint. Ema raised a $50 million Series A in 2024, with Wipro Ventures and Thailand's SCB 10X among the backers, and a $77 million Series B led by Creaegis in September 2026 took the total to $140 million, with APAC expansion named as a use of funds. Prices are not published: Ema describes them as outcome-based and quotes after a demo, though a trial needs no credit card.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
Notable facts
- EmaFusion routes tasks across 100-plus LLMs and claims 94.3% accuracy at roughly $5.21 per 1,000 prompts — about a quarter of the market average cost.
- Co-founder Surojit Chatterjee led Coinbase's 2021 IPO as Chief Product Officer and holds approximately 40 US patents in machine learning and adtech.
- Ema is certified to ISO 42001 — the world's first AI management system standard — making it one of only a handful of enterprise AI vendors with this accreditation.
- Within weeks of launch, Ema joined Microsoft's exclusive Pegasus Program for high-performing B2B startups, unlocking co-selling access to Microsoft's enterprise customer base.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Ema's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Ema unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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