Customer feedback is a vital source of insight, yet unlocking its value has traditionally been manual and fragmented. What if an AI platform could collect, analyse, and act on customer feedback at scale, with human-level accuracy?

Former Google engineers Nima Vali Rajabi and Francisco Arias have built deepdots, an end-to-end solution for streamlining customer feedback analysis.

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 deepdots integrates collection, analysis and action in a single platform. The platform also dramatically improves feedback quality while enabling customers to be more specific, all without compromising privacy or safety, thanks to its proprietary in-house models.

Since launching in 2023, deepdots has attracted large enterprises as customers in its home market, including pharmacy chain Matas (263 stores, 4BN kroner+), real estate firm NREP, and water solutions leader Culligan.