The Shift from SaaS to AI-Orchestrated Workflows

Ema, a startup founded by former Google and Coinbase executives, has raised $77 million in a Series B round led by Creaegis. The company provides a platform of "AI employees"—systems that coordinate multiple AI agents to execute multi-step business processes across existing enterprise applications.

Founder Surojit Chatterjee argues that this model is fundamentally changing enterprise software consumption. Rather than using SaaS products for their traditional utility, Ema "wraps" around these applications, eventually allowing companies to reduce their dependency on—or entirely replace—traditional software suites. The company reports a net dollar retention rate of approximately 180%, indicating that customers are expanding their usage across dozens of workflows after initial deployment.

Business Model and Market Positioning

Ema distinguishes itself from frontier AI labs by focusing on domain knowledge, complex integrations, and orchestration rather than model development. The platform is model-agnostic, drawing on over 150 different models to perform tasks.

Key aspects of their business strategy include:

• Outcome-Based Pricing: Ema avoids seat-based or token-based pricing, opting instead to charge based on the completion of specific business tasks and outcomes.
• Disrupting IT Services: The company is positioning itself to handle implementation and integration work traditionally performed by human-heavy IT consulting firms. Chatterjee notes that many service firms are now partnering with Ema to adapt their own business models.
• Operational Efficiency: Ema maintains gross margins near 80%, as their AI systems require less human intervention as they learn from ongoing deployments.

The startup has reached over 50 enterprise customers, including major firms like Google, Microsoft, Hitachi, and PwC, and has seen revenue grow 50-fold over the past two years.