Enterprise AI startup Ema has raised $77 million in a Series B round to scale its autonomous AI agent platform. Led by Bengaluru-based Creaegis, the funding brings the company’s total capital to $140 million. The startup focuses on automating business workflows to compete with traditional software providers, as it plans expansion across the Asia-Pacific region.
Ema, a startup focused on building 'AI employees' for complex business tasks, has completed a $77 million Series B funding round. The investment was led by Bengaluru-based private equity firm Creaegis, with participation from existing investors including Accel, Section 32, and Prosus. This latest injection brings the company's total funding to $140 million, which will be used to scale operations and expand its footprint into the Asia-Pacific, South American, and Middle Eastern markets.
Founded in 2023 by former Google and Coinbase executive Surojit Chatterjee and former Okta leader Souvik Sen, Ema has positioned itself as an orchestration layer for enterprise AI. Unlike companies that provide raw language models, Ema’s system coordinates multiple AI agents to perform end-to-end tasks across departments like finance, human resources, and IT. By integrating directly with existing enterprise software, the platform aims to automate workflows that previously required manual effort or traditional software services.
Financial Metrics and Growth Strategy
The company has reported aggressive growth, claiming a 50-fold revenue increase over the last two years with total bookings surpassing $150 million. A notable metric highlighted by the company is its net dollar retention rate of approximately 180%. This figure indicates that existing customers are not only staying with the platform but are significantly increasing their spending by adopting more workflows over time. While the firm reports an 80% gross margin, it is now shifting its financial focus toward accelerating sales and marketing spending to capture market share from legacy enterprise software providers.
Market Context and Competitive Landscape
The broader enterprise AI sector is currently defined by a move from simple chatbot interactions to 'agentic' workflows, where AI systems can take action rather than just providing information. Ema differentiates itself by using over 150 different models to provide specific domain expertise, rather than relying on a single AI model. This approach creates a complex competitive environment, as it competes with large model providers like OpenAI and Anthropic, which are also increasingly targeting the enterprise space.
For investors, the primary monitorable will be the company’s ability to manage its cash burn while scaling globally. While high retention rates suggest strong product-market fit, expanding into competitive regions like Asia-Pacific often involves significant sales and implementation costs. Additionally, as more IT services companies begin to partner with AI orchestration platforms, the company's long-term profitability will depend on its ability to maintain its margin structure while navigating potential price competition from incumbents and other AI startups.