Enterprise AI funding is surging across automation, data work, and security. Ema, Snorkel AI, and Comp AI have announced major rounds that show how investors are backing software built around AI agents and specialized business workflows.
The companies are taking different paths, but their goals connect: automate work that once demanded large software systems, expert teams, or long manual processes. Together, their funding rounds put fresh momentum behind a fast-changing enterprise market.
Ema’s AI Employees Move Into the Enterprise
Ema has raised $77 million in a Series B round led by Bengaluru-based venture firm Creaegis, bringing its total funding to $140 million. The company’s valuation increased more than fourfold from its last funding round in 2024, although Ema declined to disclose its latest valuation.
The round consisted entirely of primary equity, with no debt or secondary transactions. That structure gives Ema new capital to build its business without adding debt or allowing existing shareholders to sell shares through the financing.
Founded in 2023 by Surojit Chatterjee and Souvik Sen, Ema builds technology that deploys “AI employees.” These systems coordinate multiple AI agents to automate business processes, pushing the company beyond a single-purpose assistant and toward software that can manage connected tasks.
Ema says it now has more than 50 active enterprise deals and over 1 million active enterprise users. Its technology has handled more than 5 million actions and queries, while revenue has grown 50-fold over the past two years and revenue bookings have surpassed $150 million.
The expansion story also shows up in customer behavior. More than 90% of Ema’s customers have expanded beyond their initial use case, and the company’s net dollar retention rate is around 180%.
Those numbers help explain why Ema sees AI changing the role of traditional enterprise software. “Many of our customers are already on the way to replace [large SaaS applications] completely, removing dependency on them, because they are mostly becoming like a database,” Chatterjee said.
That vision depends on stronger AI models, not weaker ones. “Progress in frontier models is actually very beneficial to us,” Chatterjee said, pointing to a strategy built around coordinating AI capabilities inside business processes.
Snorkel AI Turns Research Into a $3.5 Billion Business
Snorkel AI has raised a $350 million Series E at a $3.5 billion valuation. Insight Partners and S32 led the round, while existing investors include Addition, Lightspeed, Greylock, GV, and Wells Fargo.
The new valuation increased nearly threefold from Snorkel’s previous valuation of $1.3 billion. Its current annualized revenue run-rate has reached $375 million, giving the company a large operating base as it continues building enterprise AI technology.
Snorkel launched commercially in 2019 after four years of research at the Stanford AI lab. That path from academic research to commercial software highlights another route through the AI market: turn advanced research into tools that companies can use at scale.
Snorkel’s round also adds weight to the broader investment surge around enterprise AI. Ema is focused on AI employees and coordinated agents, while Snorkel has built a business from research-backed AI technology, yet both companies now command valuations that reflect strong demand for business-focused systems.
Comp AI Targets the Security Work Nobody Wants
Comp AI has raised a $34 million Series A led by Roo Capital and Grand Ventures, taking its total funding to $37.5 million. The company was founded in January by Lewis Carhart, Claudio Fuentes, and Mariano Fuentes.
Comp AI is building an agentic platform for security and compliance work, an area filled with documentation, evidence gathering, testing, and monitoring. Its platform helps write security policies, collect evidence for security audits, and monitor compliance controls, while also offering AI-powered penetration testing.
The founders previously built a startup called LeapAI that ran for about two years. That experience shaped their approach to large language models and showed them why specific use cases matter when building AI products.
“It’s a very obscure process,” Claudio Fuentes said about the security and compliance work the company is targeting. “It took us a couple of months of doing things by hand, and the whole time it meant taking our eyes off building the product.”
Comp AI aims to hand much of that burden to AI agents. “What Comp AI automates is much of the work companies traditionally have to do around that process,” Carhart said. He added, “For a lot of software companies, security and compliance are directly tied to revenue.”
The company’s approach keeps people in control of important decisions. “An agent might draft a policy, for example, but a person still reviews and approves it,” Carhart said. Mariano Fuentes described the longer-term goal: “We’re building toward a security layer that can monitor and validate those kinds of risk more continuously as these systems evolve.”
The Enterprise AI Race Is Moving Into Workflows
These rounds point to a clear shift in where AI startups are competing. The opportunity is no longer limited to building a model or adding a chatbot to existing software. Ema is coordinating AI employees, Snorkel has turned research into a high-value enterprise company, and Comp AI is applying agents to security and compliance tasks.
Each company is also measuring progress through business outcomes: active users, enterprise deals, revenue bookings, annualized revenue, customer expansion, and recurring compliance work. Those measures show investors are funding AI systems that aim to become part of daily operations.
The next stage will test how far these systems can go. If AI agents can manage more connected tasks while people review critical decisions, enterprise software may shift from storing business information to completing business work. These funding rounds suggest that transformation has already begun.
Based on
- Ema raises $77M as AI starts eating into enterprise software and services — techcrunch.com
- Snorkel AI triples valuation to $3.5B as demand for AI training data booms | TechCrunch — techcrunch.com
- Comp AI sets eyes on a continuously agentic future for security and compliance | TechCrunch — techcrunch.com
