AI Startup Ema Has Raised $77 Million
The enterprise AI platform secured new funding to support its global go-to-market expansion strategy.
Updated on Sept. 23, 2026 in Robotics
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Ema has secured $77 million in a Series B funding round led by Creaegis. The startup plans to use the capital to accelerate its go-to-market operations and expand into new international markets.
Why it matters
The company aims to replace traditional enterprise software and IT services by deploying AI agents that execute complex business workflows. This investment supports the firm's goal to scale its infrastructure and global footprint.
Ema reports over 1 million active enterprise users and revenue bookings surpassing $150 million. The company currently maintains gross margins near 80% with more than 5 million system actions handled.
The players
Ema
This Mountain View-based startup develops AI agent systems designed to automate complex business processes across enterprise platforms.
Creaegis
Based in Bengaluru, this investment firm led the Series B funding round for the AI startup.
Accel
This well-known venture capital firm participated in the funding round for the company.
Section 32
This investment group provided capital as a participant in the latest funding round.
Prosus
This global internet group participated in the funding round to support the company's growth.
The details
Founded in 2023, Ema wraps AI technology around existing enterprise applications to automate multi-step business processes. The firm currently employs nearly 200 people and manages more than 50 active enterprise deals.
Timeline
Ema was founded in 2023.
The company secured a previous funding round in 2024.
The $77 million Series B round was announced on September 23, 2026.
Global expansion into new markets is planned for next year.
The Tech Race
This investment highlights the ongoing industry transition from simple chatbot interfaces toward complex, multi-agent AI architectures. Ema is competing against established enterprise software providers by attempting to replace legacy IT workflows with autonomous systems.
Enterprise users may see increased automation capabilities and new AI-driven workflows integrated into their existing software tools. Businesses using these platforms should expect faster processing of complex, multi-step tasks as the startup expands its operational reach.
The takeaway
The move toward autonomous AI agents signals a potential shift in how large companies allocate their IT budgets. Readers should monitor whether these agent-based systems deliver measurable efficiency gains or introduce new integration complexities.
Further reading
For more information on the current landscape of autonomous systems, visit Robotics.
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Would you trust AI software to replace your company's traditional business applications?
