We are data scientists

who solve business problems with machine learning

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Our Services

Data science transformation

We identify key areas where data science will have the greatest impact and plan how to get there

Machine learning & AI development

We develop machine learning models that make your products and operations smarter

Building self-learning apps

We deploy our models in scalable production-ready applications

Our solutions

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Algorithmic trading strategies

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Our clients & partners

We are hiring!

Check our career page where we post new job listings.

Careers

Work with us on your next data science project!

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Algorithmic trading strategies

We build entirely systematic machine learning based trading strategies that continuously adapt to ever changing financial markets. Our models base their decisions by considering information from large sets of explanatory variables and work on many different time scales and asset types.

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Predictive analytics

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Personalization

We build recommendation engines that find the most relevant selection of items or actions for any given individual while selecting from a huge pool of possibilities. This enables the display of content, products or ads to individuals only according to their interests which are estimated from their previous interactions.

Anomaly detection

We build models that continuously monitor data and look for items, events or observations whose characteristics do not conform to expected patterns. Such anomalies occur infrequently and can be quite subtle but may have serious consequences. Examples are finding fraudulent transactions, sensor readings that signify likely machinery failure or changes in asset prices that might serve as an early warning for incoming financial downturns.

Optimization algorithms

We build algorithms that find effective solutions to complex decision problems that involve pursuing multiple competing goals while having to satisfy many different constraints. Common examples are solving vehicle routing or fleet management problems, making staff schedules or allocating limited resources to reduce bottlenecks.

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Pricing and assortments

We build models that predict the effect of adjusting existing pricing or assortment rules by considering large amounts of data on markets and consumers. Based on such predictions we deliver dynamic price and assortment suggestions which increase profitability.

Nonstructured data

We use recent advances in deep learning to build models capable of understainding information contained in images, videos, audio or free text.

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Customer behavior modelling

Our models can monitor every customer's interaction and provide accurate predictions about who is mostly likely to respond to new marketing campaigns or cross-selling offers, who is at risk of churning and who are the customers with the highest future lifetime value.