Curious AI builds easy to use tools for intelligent automation. Our AI solutions offer immediate savings over existing IT systems and processes. And the new intelligence unlocks completely new business opportunities for your organisation.


We call our solutions Digital co-workers. Components which understand and automate knowledge work tasks, one by one. CAI’s products are used in e.g. industrial and business process optimisation. The technology stems from our decades in AI research and software business. Our customers have chosen both fully integrated IT service solutions invisible to the enterprise end users, and AI software which interacts with the users.


Industrial Intelligence

Process prediction, optimisation, and control. Curious AI gives industrial processes operators a better understanding of their system, boosting productivity. With our AI tools, you can go Industry 4.0 step by step.

Industrial optimisation and control

Curious AI’s solution optimises production processes by working side-by-side with operators, progressively learning, and providing optimal control. The solution is not a black box: Predictions of the process model reveal what the Digital Co-worker is thinking when planning.

Autonomous operation

Autonomously operating devices and vehicles face complex, dynamic environments. Preparing for all the corner cases requires tedious programming. The more lucrative alternative is to teach Curious AI Neural MPC solution the system and have it fill in the blanks from A to B. Safety is built in as the Curious AI system 2 AI knows when it doesn’t know.

Logistic optimisation

Efficient operations at a corporation may involve a lot of minute decisions in areas such as purchasing, inventory balances, or production scheduling. Curious AI’s system can learn a world model from data and find optimal strategies to satisfy goals chosen.



Curious AI’s solutions are not limited by or bound to any existing platform or technology, whether RPA, ERP or databases. We brew our own.

Curious AI develops advanced AI algorithms and solutions. We aim to generalise (AGI) our machine learning technology components for a software solution capable of human-level knowledge work: a digital co-worker.

For Curious AI’s goal of delivering automated knowledge work solutions, there are 3 crucial R&D focus areas: learning, perceiving, and autonomy.

First, we are best known for our extensive work on semi-supervised machine learning, including the seminal paper on Ladder neural networks. Helsinki’s long tradition in unsupervised learning is a definite advantage. Second, Curious AI has worked for years on perception systems. Our research interests include machine attention, segmentation (with the published Tagger technology), and perceptual grouping. Third, Curious AI is a forerunner in the field of autonomy via our research in e.g. model-based reinforcement learning and model-predictive control.


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