Enrola has secured $2.1 million in Seed funding as it builds artificial intelligence agents designed to help consumer-facing businesses engage prospective customers and convert more sales.

Purpose Ventures led the round, while existing investors Antler, AfterWork Ventures and Skalata also participated. The funding follows Enrola’s decision to move away from its original education comparison business and concentrate on AI-powered sales technology.

The three-year-old startup was founded by chief executive Jo Thomas and chief technology officer Yvette Quinby. It began through Antler’s startup program and raised $800,000 in pre-Seed funding in late 2024 while operating as an education comparison platform.

An internal sales tool revealed a larger opportunity

Enrola’s change in direction began when Thomas and Quinby developed an AI sales agent to handle leads generated through the company’s education marketplace.

The founders recognised that the technology they had created could address a much wider challenge. Businesses selling expensive or complex services to consumers often invest heavily in attracting potential customers, but struggle to respond when those buyers are ready to make a decision.

Enrola subsequently parked its marketplace operation in September 2025 and focused on developing the sales agent as its core product.

The company’s technology can answer customer questions, assess whether a prospective buyer is ready to speak with a sales team and, in some cases, complete the sale directly. The aim is to help businesses remain available during the research and decision-making process, including outside traditional sales hours.

Enrola reports 28 customers and 250,000 leads processed

In less than a year following the pivot, Enrola has signed 28 customers across education, insurance, financial technology, legal services, utilities and comparison businesses.

The platform has also processed more than 250,000 leads since the company changed direction.

Enrola is targeting what Thomas describes as “high-consideration B2C”, a category that includes purchases requiring more time, research and deliberation than an everyday transaction.

According to Thomas, consumer buying behaviour is changing faster than many companies’ sales systems.

“Customers research and decide on their own terms now, at any hour, and increasingly with their own AI agents doing the legwork,” she said.

She added that businesses risk losing potential customers when their sales processes are unable to respond at the moment those customers are ready to proceed.

Rather than treating AI as an additional communication channel, Enrola is positioning its agents as a way for businesses to participate wherever the buying process takes place. That could include conversations between customers and human sales teams, as well as interactions involving AI agents on either side of a transaction.

Funding to support product and industry expansion

Enrola plans to use the new capital to scale its AI agents, support customers across more industries and adapt the platform to emerging ways in which consumers research and purchase services.

The company has also appointed David Johnson as head of growth. Johnson previously led go-to-market automation at cybersecurity company UpGuard.

Purpose Ventures managing director Derek Gerrard said the problem Enrola is addressing is common across consumer businesses.

Companies frequently spend significant amounts generating leads, he said, only for many of those prospects to become inactive before reaching a sales representative.

Gerrard described the issue as an expensive problem that often remains overlooked. He also pointed to the founders’ experience, noting that Thomas and Quinby each bring around 25 years of industry knowledge.

“We think the businesses that win from here are the ones that can reach customers however they choose to buy, and Enrola is building exactly that,” Gerrard said.

Enrola’s latest raise marks a significant step in its transformation from an education marketplace into an AI sales technology company. Its next phase will depend on whether the startup can replicate its early customer traction across additional industries while keeping pace with the rapid changes taking place in consumer buying behaviour.

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