Copenhagen-based deepdots raises €5.5 million to scale AI-driven customer feedback platform

deepdots, a Danish end-to-end AI platform for streamlining customer feedback analysis, has raised a €5.5 million Seed funding round to address the full voice-of-customer lifecycle.

The round was led by Dawn Capital, a leading specialist B2B software investor, with participation from Maki.vc and angel investors including Geeta Schmidt (former CEO and Co-founder of Humio).

deepdots Co-founder and CEO Nima Vali Rajabi commented: “Customer feedback has always been one of the richest sources of insight, yet unlocking its value at scale has remained painfully manual and fragmented. 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.”

He continued: “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.”

deepdots, founded in 2023 by Google alums Nima Vali Rajabi (CEO, also ex-Humio) and Francisco Arias (CTO), uses proprietary AI-driven models to automatically collect and analyse customer feedback in one place, at scale, and with “human-level accuracy” – saving their customers hundreds of hours of manual work.

According to deepdots, legacy enterprise customer feedback tools either work semi-automatically, requiring manual input or involve using AI assistants that deliver poor-quality results, ultimately leading to a poor customer experience. By contrast, with deepdots, customer experience and product teams no longer have to waste time searching through disparate silos for data, or spend hours manually sifting through feedback, as the product integrates collection, analysis and action in a single platform.

deepdots Co-founder and CTO Franciso Arias adds: “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. Since then, we’ve continuously optimised 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.”

deepdots currently integrates with tools including Intercom, Zendesk, and HubSpot to ensure seamless feedback collection, and has secured customers including Danish pharmacy chain Matas (263 stores, 4BN kroner+), real estate firm NREP, and water solutions leader, Culligan.

Norman Fiore, General Partner at Dawn Capital, said: “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. 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.”

The company now plans to use its fresh capital to continue building on the  end-to-end platform that closes the loop from data collection to action, addressing the full voice-of-customer lifecycle. Both Rajabi and Arias have experience building products at a similar scale at Google.

Geeta Schmidt, Angel investor shared: “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 prioritised analysis and recommendations. The unique focus that deepdots has towards building a highly scalable solution with data lineage makes this one of the few AI native products that enterprises can rely on.”

Stefan Kirkedal, Head of Customer Insights, Loyalty and Matas Media at Matas A/S added: “deepdots has transformed the way we work with NPS, moving from a traditional setup to an AI-driven approach. With personalised AI surveys and fully automated feedback analysis, we now gain deeper customer insights while saving significant time. That means we can focus on what really matters, improving the customer experience.”

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