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OUR STORY

Why we founded Loimi

Eeva — For years I led strategy and sales, and I couldn't make good data-informed decisions. The data was scattered across Excel files, the CRM and people's heads, so every insight came with a delay and a grain of salt. I found the same pain in most companies between small founder-led firms and large enterprises with whole analytics teams.

Ashish — Over years of building complex demand-based pricing engines, I learned that the ones that changed a business had its people on board from the start. I also saw how often the knowledge stayed with individuals, so the next project started from scratch.

Loimi — Companies in between had two poor options: a long consulting project that ends in slides, or hiring a data team of their own. We built a third one. A data scientist and a social psychologist in the same room, fixed price, working software in weeks, and people who trust it.

We also share a dream of building a company that gets better with every client. We build agents and engines for our own work too, so every case adds to what the next client gets.

WHO WE ARE

Founded by a social psychologist and a data scientist

Portrait of Dr. Eeva Raita

Dr. Eeva Raita

CEO, co-founder · Social psychologist

Makes sure what we build gets used. Eeva leads the work with your leadership and the people whose day changes, so the results are trusted from week one. PhD in technology adoption, former Group Chief Strategy Officer and VP Sales.

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Portrait of Ashish Khatke

Ashish Khatke

CTO, co-founder · Data scientist

Makes sure what we build keeps running. Ashish designs the data foundation, matching and pricing engines on the systems you already have, so you don't need a data science team of your own. Built pricing engines serving 10M+ users.

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TRACK RECORD

Our team delivered these cases before Loimi was founded

  1. 01

    An energy company's pricing engine runs about 1,000 demand forecasts for more than 10 million users.

  2. 02

    An HR platform's multilingual matching is still in production years after handover.

  3. 03

    A Nordic manufacturer's complaint data now gives early warnings, with double the accuracy on the hardest cases.

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