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Introducing OptimAI

Updated: Jun 4

OptimAI is an artificial intelligence lab that creates products to optimize business processes, boost intelligence and automate decision-making. We aim to be a European leader in automated machine learning (autoML), time series forecasting, and responsible AI. OptimAI will enable businesses, nonprofits, and academic institutions to make, operate and innovate with AI to accelerate responsible innovation and push the boundaries of what is possible with artificial intelligence.


According to research from IDC, the global spending on AI (Artificial Intelligence) is expected to hit $97.9 billion by 2023, up from $37.5 billion in 2019. This represents a compound annual growth rate of 28.4%. No doubt, this is an enormous opportunity for startups such as OptimAI.

These days, almost every company needs to leverage AI to thrive and build a meaningful future. The AI software market hides a revolutionary potential yet to be discovered, and OptimAI arises to increase these unknown borders.

Long-term goals

The outcome of OptimAI is still uncertain, and the work is difficult, but we believe that some of our goals and the structure are right. We hope this is what matters most to the best in the field. We already have some plans in mind that, at least, must be categorized as fascinating and ambitious. Some of our plans include:

- Consolidate a small, highly talented, and motivated research team to explore the possibilities of HTM systems and find commercial use cases.


OptimAI creates intelligent systems to solve complex business problems. Currently, we only provide one service: optimal resource allocation. However, by the end of 2022, we already pretend to have four main branches of services: optimal resource allocations, HTM systems, Finance Solutions, and Sentiment Analysis. Currently, our Budget Optimisation is in the growth stage. It competes primarily based on our understanding of multi-armed bandit algorithms and our experience in the industry of Digital Marketing.

The most significant risks associated with our business are the immaturity of HTM systems and the premature stage of our niche industry: augmented intelligence. We think we can overcome these risks because of our vision to connect artificial and human intelligence, rather than AI fully automating a human task, our understanding of neuroscience and software, and, ultimately, our ability to bring theory down to commercial products.

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