Natural Language Processing
Computer Vision
Predictive models
Strategic Thinking
Natural Language Processing

Language makes us human. We have generated a huge amount of information stored as unstructured text which requires specific tools to extract its value.
In the past few years, Natural Language Processing (NLP) has experienced a great development thanks to the powerful techniques of Deep Learning, which have now become state-of-the-art in most applications.
At Komorebi, we use the most recent and innovative Deep Neural NLP techniques to build applications that are able to interpret, understand and extract value from your textual data.
Our taylor-made tools, developed to cater your needs, will structure your texts, improve information retrieval by smarter search engines or allow you to interact with your clients through chatbots.

  • Sentiment analysis and opinion mining in social networks
  • Smart information retrieval
  • Text summarization
  • Structure text from Electronic Health Records
  • Conversational chatbots
Computer Vision

The are huge amounts of visual data registered by security cameras, digital pictures, scanned documents, medical images, mobile devices, etc. This data requires algorithms capable of interpreting, organizing and extracting value from images and videos. The current standard for computer vision are deep learning algorithms based in CNNs, which are capable of performing advanced, complex tasks, beating human performance in some of them.

At Komorebi we have experience in developing tools for computer vision, handling all phases of the process from image tagging, model training and validation, deployment of APIs in cloud servers or edge computing, and creating front end tools in mobile or web applications.

  • Object detection and classification
  • Semantic image segmentation
  • Event detection in video
  • Automatic image based expert evaluation
  • Automatic quality control
Predictive models

In a complex changing environment it becomes essential to have accurate predictions in order to prepare and anticipate future outcomes. These predictions should not only be accurate, but also explain the influence of each factor involved in the prediction, and suggest specific actions to improve the results based on the predictions.

At Komorebi we have experience in building and deploying predictive models in a wide range of sectors. We develop solutions for each specific problem using the most recent technologies, and we handle all stages of the pipeline from the problem statement to deployment in production. We do not implement prefabricated solutions. We adapt to each specific situation and deliver taylormade data driven predictive models.

  • Demand/churn prediction
  • Customer segmentation
  • Recommender systems
  • Fraud detection
  • Geodata and time series
Strategic Thinking

Planning strategies requires reasoning under uncertainty, simulating future outcomes to propose best possible actions, modeling the strategies from our competitors, learning from previous experience and understanding the behavior of end users.
In an increasing number of sectors, such as finance, energy, marketing or digital sales, many of these decisions are automated by algorithms, which should be able to learn from past actions of their own and competitors, and adapt their strategy accordingly in order to optimize their performance.

At Komorebi we are experts in advanced techniques for strategic thinking that can be a decisive factor in the core of your business.

  • Reinforcement learning
  • A/B tests and causal inference
  • Behavioural economy and utility theory
  • Decision support systems
  • Agent based models and game theory
  • Algorithmic bidding and dynamic pricing
  • Precision marketing (RTB, attribution models)

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