We are Assetario

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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 Chudik and Matej Novak

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 Julian Runge.

We are also backed by market leading venture firms, supporting us with their advice.

riot

Riot

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.

L2 ventures

Liquid2

Liquid 2 Ventures is an early-stage investment fund based in San Francisco, that believes in founders and sees opportunities across all platforms.

hoxton

Hoxton

Hoxton is an early-stage technology venture capital firm, bringing Silicon Valley to Europe.

Credo

Credo

Credo Ventures is a venture capital company focused on early stage investments in Central Europe.

How we work?

As community

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.

As positive people

It's simple, we love what we do.

As a team

Significant team experience from gaming and ad tech supported with 100+ data science academic publications across the team with many data scientists previously teaching at universities.