We are Assetario
We love data. We are engineers. Phenomenal team of MIT and Cambridge graduates, algorithmic wizards and advisors who lead multi-billion dollar games.
We are the team behind a smart platform that understands raw app analytics data in order to delight each user with unique personalized app experiences.
Make your users love your app even more with Assetario
Make it simple
Work smart. At Assetario we believe in creating unique experiences for mobile apps users through personalization.
There is no B team
We are A players always seeking challenges and improvement itself.
Every insight matters
We are listening to our clients. Always. Great feedback is a critical element of improvement of our product, based on your needs.
Transparency is the key
Both inside and out — what you see is what you get.
Jakub Chudík and Matej Novák met during their studies at the top-rated technical university, MIT in Boston, where they discovered their common passion for artificial intelligence. The question they asked themselves: How will we help fill the gap in the mobile app market with accurate behavioral data for companies that contribute to financial stability, growth and engagement for both companies and their users?
We are backed by some of the best investors in the market with deep gaming and data experience, from Colin Digiaro, Jason Rubin, Eitan Reisel, or Prof. Runge.
We are also backed by market leading venture firms, supporting us with their advice.
Riot Ventures, an early stage venture fund based in Los Angeles invests in deep technologies with a focus on intelligence, sensing and control, communications, mobility and security.
Liquid 2 Ventures is an early-stage investment fund based in San Francisco, that believes in founders and sees opportunities across all platforms.
Hoxton is an early-stage technology venture capital firm, bringing Silicon Valley to Europe.
Credo Ventures is a venture capital company focused on early stage investments in Central Europe.
How we work?
We’re open-minded self-improvers who hold each other accountable. Under any circumstances.
As data lovers
We love working with data and want to create computer models that truly understand human behaviour.