Copenhagen-based AI startup deepdots, formerly known as Magic Feedback, has raised a €5.5 million Seed round led by Dawn Capital, as it looks to scale its AI-powered platform for automating customer feedback analysis.
The company is also announcing its rebrand to deepdots.
Founded in 2023 by former Google product leaders Nima Vali Rajabi (CEO) and Francisco Arias (CTO), deepdots is building what it claims is the first end-to-end platform that enables companies to collect, unify, and analyse customer feedback at scale with human-level accuracy—all powered by proprietary AI models.
The funding round, which also included participation from Maki.vc and angel investors such as Geeta Schmidt (former CEO and co-founder of Humio), will be used to expand the team, open a second office in Barcelona, and further develop its AI infrastructure.
“Customer feedback has always been one of the richest sources of insight, yet unlocking its value at scale has remained painfully manual and fragmented,” said CEO Nima Vali Rajabi. “At deepdots, we are building the AI infrastructure that turns every piece of feedback into a clear and actionable insight, instantly. Whether it is millions of reviews, surveys, or support tickets, we help companies close the customer feedback loop in real time and make smarter decisions faster.”
deepdots positions itself as a next-generation alternative to legacy enterprise tools that still rely heavily on manual data handling or simplistic AI summarisation. Traditional customer experience (CX) platforms, like Medallia or Qualtrics, often require multiple integrations and manual analysis, creating silos and slowing down decision-making. It differentiates itself by offering a fully integrated workflow, from survey generation to analytics and insight-driven actions. Its AI can handle everything from Net Promoter Score (NPS) tracking to qualitative feedback across customer support, product reviews, and survey responses, turning raw input into prioritised, actionable recommendations.
Its customer base already includes major Danish brands such as Matas, NREP, and Culligan, with its surveys reaching over 4 million consumers annually in Denmark alone.
“We have rebranded to deepdots because we felt it reflects what we do: help our customers connect the dots in their data to unlock deeper insights,” added Rajabi.
In a sector increasingly focused on data privacy and model customisation, deepdots has invested in building its own proprietary AI models, stored privately and trained uniquely for each enterprise customer.
“In August 2023, we made the decision to move to our own proprietary in-house models to meet growing demands for control, quality, and privacy,” said CTO Francisco Arias. “Since then, we’ve continuously optimized our models, and today we’re proud to deliver human-level accuracy without compromising on privacy or safety. Every company we work with gets their own dedicated model, stored on a private server. This allows us to train each model with their unique business context in mind, without any risk of data being shared or cross-trained across clients.”
This privacy-focused approach is key in attracting customers operating under strict compliance requirements, particularly in regulated sectors like retail, financial services, and healthcare.
“deepdots is ideally positioned to capture the multi-billion dollar ‘Voice of Customer’ market, and has the potential to become a category leader in AI-driven customer experience management,” said Norman Fiore, General Partner at Dawn Capital. “Nima and Francisco are inspiring, ambitious and have a clear vision - and they have gathered a highly talented team to help take them to the next stage. We are proud to be supporting them as they scale.”
“deepdots is re-writing the book on how companies gain competitive advantage, improve NPS scores and win customers by transforming massive amounts of customer feedback into prioritized analysis and recommendations,” added angel investor Geeta Schmidt.
As deepdots builds out its second hub in Barcelona and continues evolving its product, it aims to become a foundational layer for enterprises seeking to automate and elevate how they understand their customers.
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