Machine Learning

We create computer algorithms that eat Big Data to learn and improve autonomously. The goal is to achieve “Augmented Intelligence” - collective human-computer capability to do more with less.

Natural Language Processing

Our tech automatically finds semantic links between concepts within unstructured textual data without the need for keywords, tags or dictionaries. This means that it is language-independent, in fact, many of our applications are totally in Finnish.

Knowledge Management

We understand how knowledge-based firms can utilize advanced AI technologies to create tangible value through empowered organizational learning and knowledge creation.

Research Rigour

Our academic expertise enables empirically proven solutions that are research-backed. As such, our contributions towards the core fields are also academic in nature.

Team

Vincent Kuo

Vincent Kuo

MSc

Strategy

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Tapio Auvinen

Tapio Auvinen

PhD

Technology

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Lasse Hakulinen

Lasse Hakulinen

PhD

Science

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Jussi Nykänen

Jussi Nykänen

MSc

Operations

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News

We have participated in many hackathons and tackled different problems with solutions relying on machine learning and semantic analysis. Here are some of the news articles about our journey.

TekesHack winners
Picture: Tekes

A team of Aalto won the TekesHack Design Contest with their semantic engine

The challenge of TekesHack Design Contest was to combine open data, machine learning and artificial intelligence in order to create a whole new service solution and to demonstrate efficient ways to match companies, research teams and investors.

Matchmaking
Picture: Industryhack

Matchmaking is a key to Aalto alumni’s success

The role of matchmaking in the establishment of VXT Research Oy is embodied in the unlikely rendezvous of the co-founders - Vincent Kuo and Tapio Auvinen.

DataBusiness Challenge
Picture: Mediaporras Oy, CC BY 4.0

Libertas wins DataBusiness Challenge competition

The DataBusiness Challenge, arranged under the Six Cities Strategy gathered a total of 42 entries involving the use of public Open Data to tackle problems of modern cities.