Helsinki-based AI startup Aito backed by Nokia chairman Risto Siilasmaa secured €1.6M, launches its Predictive Database

Recently, the Artificial Intelligence (AI) startup Aito announced it’s latest funding round in which it raised €1.6M from B2B software investor henQ. Further, the company also launched the public version of its Predictive Database, which combines machine learning and database into one single platform.

For the uninitiated, the Predictive Database is fundamentally different than the current science-driven ML tools available in the market. Instead of data scientists or an AutoML tool creating numerous models predicting a single thing, Aito’s Predictive Database is a single platform that provides immediately both the known and unknown through simple queries.

It uses existing relational datasets and a familiar query language to make ad-hoc predictions. It works without data wrangling, feature engineering, and understanding the intrinsics of ML models and their scaling.

The public version of Aito is available, and anyone can register here​​, upload a dataset to Aito’s predictive database, and start experimenting.

Aito’s customers are a mix of startups and small and medium-sized businesses for whom the power of AI was never available or too expensive.

Vesa-Pekka Grönfors, CEO of Aito:

It is about time that we start looking differently at how we approach AI projects. AI, in most projects, is either a buzzword or only available for enterprises with a large budget that can hire a completely new data science team. That is what we want to change at Aito. We believe that the power of machine learning belongs to everyone. Building machine learning solutions should be inspirational, not frustrating. Every company should be able to start experimenting with real data and real users without high barriers – to learn and concretely see how machine learning can bring value. Without the need to learn a new skill set or to hire new people. And above all: without the need to be heads down for months and release something that is not working. We believe in lean and agile: experiment, test, improve. That is the development cycle that works and that we now bring to your AI project.

Main image credits: Aito

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