Ema
Universal AI Employees that run enterprise workflows autonomously.
Overview
Ema (ema.ai, formerly ema.co) is a 2023-founded enterprise agentic-AI platform where teams configure 'Universal AI Employee' agents conversationally; its EmaFusion router claims 94.3% accuracy at roughly 1/20th the cost of GPT-4. Backers include KPMG, Wipro Ventures, and Thailand's SCB 10X.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete.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.
- Sales-led custom quote
- No free tier or self-serve trial
- Book-a-demo onboarding
Use cases
What you can produce with Ema
- Autonomous AI employees deployed across HR, finance, customer support, sales, and compliance
- Workflow automation covering 200-plus enterprise app integrations with no custom code required
- EmaFusion multi-LLM routing engine drawing on 30-plus models for accuracy, with documented cost reduction vs single-model approaches
- SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, and GDPR-compliant deployment including on-premise and air-gapped options
- Pre-built library of 50-plus AI employee personas for specific departmental roles, configurable via natural language
- Generative Workflow Engine (GWE) enabling non-technical teams to build and iterate custom AI agents conversationally
- Enterprise partner ecosystem including KPMG, Wipro, Hitachi Digital Services, and Microsoft Pegasus co-selling access
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's technical case is real: EmaFusion, its multi-LLM routing layer, claims 94.3% task accuracy — ahead of GPT-4o and Claude Sonnet — at roughly 1/20th GPT-4's cost, backed by a published paper (arXiv:2504.10681) rather than just a slide deck. The Generative Workflow Engine lets non-technical teams stand up agents by conversation, and the compliance stack (SOC 2, ISO 27001, ISO 42001, HIPAA, GDPR, EU AI Act) is unusually deep for a three-year-old company. KPMG and Wipro Ventures are investors as well as go-to-market partners, and Thailand's SCB 10X gives Ema a genuine, if early, ASEAN foothold. The gaps: pricing is entirely custom with nothing published, the company's GitHub presence is effectively empty despite the proprietary claims, and third-party review volume on G2 and Capterra is still too thin to independently confirm the vendor-cited case studies.
What people say
Most agentic-AI startups wave around benchmark numbers with no paper behind them. Ema published one: EmaFusion, its model-routing layer, claims 94.3% task accuracy versus roughly 91.7% for GPT-4o and Claude Sonnet, at about 1/20th GPT-4's per-task cost, and the methodology is on arXiv (2504.10681) for anyone who wants to check the math.
The pitch beyond the routing engine is 'Universal AI Employees' — pre-built personas for support, HR, finance, and compliance work, built through a conversational Generative Workflow Engine rather than a drag-and-drop builder. Deployment options run from multi-tenant SaaS to fully air-gapped on-prem, and the compliance list (SOC 2, ISO 27001, ISO 42001, HIPAA, GDPR, EU AI Act) is deep enough to satisfy regulated buyers most three-year-old vendors can't touch.
Investors read like a systems-integrator client list rather than a typical cap table: KPMG and Wipro Ventures both put money in alongside Accel and Section 32's $50M Series A, and Thailand's SCB 10X gives Ema an early foothold with ASEAN financial institutions. Total funding sits north of $60 million.
What's missing is transparency on cost and proof outside the vendor's own case studies. Pricing is entirely custom with nothing public, the company's GitHub org has no real repositories despite the proprietary framing, and G2/Capterra review volume is still too thin to independently check claims like Moneyview's 70%-plus automated support rate or the cited 70x HR ROI deployment.
Summary of public user & expert reviews, compiled by RECATOOLS.
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.
For the latest details, please refer to Ema directly →
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