How Gradient Labs Raised $13M in One Week
A London AI Startup Just Closed a $13M Series A in 7 Days. Here’s How.
In 2023, three early Monzo employees — Dimitri Masin, Neal Lathia, and Danai Antoniou — set out to tackle one of the most painful problems in fintech: customer operations in regulated industries.
Two years later, their company, Gradient Labs, closed a $13 million Series A round in just one week.
The round was led by Redpoint Ventures with LocalGlobe, Puzzle Ventures, Liquid 2 Ventures and Exceptional Capital joining in.
What made investors move so fast?
• They built investor relationships months in advance through warm conversations, regular updates and trust before pitching.
• They focused on a very specific problem, AI-powered customer operations for fintech, rather than a broad AI idea.
• They showed real traction with one million dollars in annual recurring revenue in just four months, a live product and paying customers.
• They had strong founder market fit. The team had years of experience building machine learning systems for fraud at Monzo which gave them unique credibility.
As CEO Dimitri Masin explained:
“When we opened the round, we were not another cold pitch. We had a live product, proven traction and a very painful problem in a regulated space. Investors could see we were not chasing hype, we were solving something real.”
In this week’s premium edition of Product Market Fit, subscribers will get exclusive access to Gradient Labs’ actual Series A pitch deck, the same one that helped them raise thirteen million dollars in only seven days.
Inside the deck you will see how they structured the narrative, used metrics to back up every claim and positioned themselves as the only team that could solve this problem at scale.
If you are preparing to fundraise soon, this is one example worth studying closely.
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