Bengaluru VC Creaegis Leads $77 Million Round in AI Employee Startup Ema

Posted on 25th Sep 2026 06:12:28 in Business, Digital Marketing

Tagged as: Creaegis, Ema, AI Employees, Enterprise AI, Funding Round

Ema, the enterprise artificial intelligence startup whose "AI employees" run HR, IT and finance work inside large companies, has raised $77 million in a Series B round led by Creaegis, the Bengaluru-based growth investor. Existing backers Accel, S32 (Section 32) and Prosus all increased their stakes, according to TechCrunch, and Entrackr reports that Hitachi Ventures and Wipro Ventures also participated.

The round, announced on September 23, takes Ema's total funding to $140 million and more than quadruples its valuation from its 2024 round. The company did not disclose the new valuation. For Indian readers, the notable part is not the headline number. It is who is leading: a Bengaluru-based fund taking the lead position on a Series B for a Mountain View company whose software already counts Wipro among its flagship deployments.

The Round: Creaegis Leads, Accel and Prosus Double Down

Ema was founded in 2023 by Surojit Chatterjee, a former Google and Coinbase executive, and Souvik Sen, formerly of Okta. It is headquartered in Mountain View, California, with offices in Bengaluru, London and Vancouver, and employs nearly 200 people.

The Series B was raised entirely as primary equity, with no debt or secondary transactions, the company confirmed to TechCrunch. The money will fund a bigger go-to-market push, with Ema saying several senior leaders are already hired, and continued investment in its AI employee platform.

The operating numbers behind the raise, as reported by TechCrunch and the company, explain why investors quadrupled their valuation:

• Revenue has grown 50-fold over two years.
• Bookings have crossed $150 million, which the company says is the total value of multi-year contracts rather than annual recurring revenue.
• Net dollar retention is around 180 percent, meaning existing customers spend substantially more over time.
• Gross margins are close to 80 percent.
• More than 50 active enterprise deals, over 1 million active enterprise users, and more than 5 million actions and queries handled.
• More than 90 percent of customers have expanded beyond their first use case.

Ema's customers include Microsoft, Google, PwC, KPMG, ADP, NTT DATA, Hitachi and Wipro. The software draws on more than 150 AI models, frontier and open source, and the company prices by completed tasks and business outcomes rather than software seats or tokens consumed. That pricing choice is worth watching as Indian firms write their own AI contracts.

"Our customers are not running experiments; they are running their HR, IT and Finance operations on AI Employees at a scale of millions of interactions a year," co-founder and CEO Surojit Chatterjee said. "Enterprises do not need more software. They need work to get done."

Inside the Wipro Deployment: 240,000 Associates, 2.9 Million Queries a Year

The most India-specific detail sits in Ema's own announcement. At Wipro, Ema powers an employee assistant supporting more than 240,000 associates across 65 countries. The system automates more than 100 workflows and handles roughly 2.9 million employee queries a year. Response times have dropped from days to seconds, and Ema says employee satisfaction rose 20 percent. These are the company's own figures, released with the funding announcement.

That is the pattern Indian businesses are likely to meet first: not a robot replacing a team, but an always-on layer wrapped around existing HR, IT and finance systems that answers routine questions, checks its own work, routes exceptions to humans and completes tasks end to end. Wipro Ventures, the IT major's investment arm, was already an Ema investor and participated again in this round, which suggests the relationship is moving well beyond a pilot.

Why a Bengaluru Investor Led a Silicon Valley AI Round

Creaegis is a Bengaluru-based growth-stage investor, and its lead position on this round is a marker of how far India-based capital has moved up the global enterprise AI stack. Prakash Parthasarathy, Managing Partner and Chief Investment Officer at Creaegis, framed the bet around deployment reality rather than demo quality.

"Many agentic AI companies have compelling demos, but few have proven they can deliver in production at enterprise scale," he said. "Ema stands apart." He added that Ema's offerings extend "from employee-facing functions into customer operations, sales and industry-specific workflows on the same architecture, with embedded agentic capability that delivers measurable outcomes with the governance large enterprises require."

Notably, the pitch was not about model quality. Ema builds on more than 150 models from other labs and competes on the unglamorous plumbing: integrations, domain knowledge and orchestration that turn impressive demos into production systems enterprises can audit. The round consisted entirely of primary equity, and every major existing investor, from Accel to Prosus, increased their investment rather than cashing out.

From Pilots to Production: What It Means for Indian Businesses

Most enterprise AI spend is still stuck in what Chatterjee calls "pilot purgatory," proofs of concept that impress in a boardroom demo and stall before production. The Ema round shows where serious money is heading now, and three lessons stand out for Indian business owners.

• Outcome pricing is arriving. Ema charges for completed tasks and business results, not seats or tokens. Indian buyers of AI tools should expect, and ask for, the same alignment.
• Services are both partners and targets. Chatterjee told TechCrunch that IT services firms are working with Ema while also "dramatically changing or disrupting their own business models." For India's vast IT services industry, and the companies that buy from it, that tension is the number to watch.
• Governance decides what ships. Creaegis highlighted "the governance large enterprises require" as core to Ema's appeal. Approval routing, audit trails and human oversight for critical decisions are what separate a production AI system from an expensive experiment.

The mid-market question is the one Indian SMEs should keep asking. Ema today serves Fortune 500-scale organisations. If AI employees follow the usual curve, the same capabilities will reach smaller Indian firms at lower price points within a few years, and the firms that already understand outcome-based AI contracts will negotiate those deals better.

The Road Ahead: Asia-Pacific Next

Ema has so far focused on customers in the United States and Europe. The new capital is meant to change that. The company plans to expand into new geographies over the next year, with Asia-Pacific among the targets, and Bengaluru already hosts one of its three international offices alongside London and Vancouver.

Competition will be fierce. Anthropic and OpenAI are pushing deeper into enterprise deployments, and Chatterjee's counter is that frontier model progress helps Ema rather than threatens it, because its value lies in orchestration and domain workflows. "Progress in frontier models is actually very beneficial to us," he told TechCrunch.

For Indian business owners, the practical takeaway is simpler than the venture math. The AI tools that reach SMEs next will be the ones that proved themselves in production at scale first. And judging by where one of India's leading growth investors just placed its newest enterprise AI bet, those tools will be judged on completed work, not impressive demos.

Sources

• TechCrunch - Ema raises $77M as AI starts eating into enterprise software and services
• Ema - Ema Raises $77M Series B to Put AI Employees to Work at Enterprises
• YourStory - Enterprise AI startup Ema raises $77M in Series B round led by Creaegis
• Entrackr - Enterprise AI startup Ema raises $77 Mn in Series B led by Creaegis
• HRTech Series (GlobeNewswire) - Ema Raises $77M Series B to Put AI Employees to Work Across the Enterprise