Ema, a San Francisco-based AI startup, has raised $36 million in a Series A funding round, led by Accel and Section 32, bringing its total funding to $61 million. The company was founded by ex-Google and Okta employees.

Ema is developing no-code AI agents, termed “universal AI employees,” which are capable of handling various enterprise tasks. “Our goal at Ema is to help automate most of the mundane tasks that human employees perform today and free them up to do more valuable work in the enterprise. We’ve built Ema as a universal AI employee. Ema can morph into taking on any role in the organisation — from customer support, employee experience, sales & marketing to legal & compliance,” CEO and Co-founder of Ema, Surojit Chatterjee, told media channels.

Since emerging from stealth a few months ago, Ema has gained traction in fintech, legal, healthcare, and e-commerce sectors. Through the new funding, Ema will enhance its tech stack and expand its go-to-market team to meet the growing demand.

Also Read: Fractal Analytics Plans IPO Filing with SEBI, Valuation Aimed at $3 Billion.

Ema’s platform provides a no-code setup with ready-made AI employee templates. Users can quickly configure and deploy these AI agents to handle complex tasks across various applications. The Generative Workflow Engine and EmaFusion model ensure these agents are context-aware and perform tasks accurately.

Informing about Ema’s security measures, Chatterjee said, “We’ve implemented robust systems for safe redaction and de-identification of sensitive data, rigorous copyright violation checks (in document generation cases), end-to-end encryption of data both in transit and at rest, comprehensive audit logging, real-time monitoring, output explainability and frequent penetration testing. We’re also fully compliant with the top international standards.”

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