Flek's approach to AI and machine learning opens up a whole new world of unique and innovative features.
Unique Features

Flek enables a unique approach to AI and machine learning. With its probabilistic modeling and programming toolset, it offers a series of innovative features.

Flek powerful core ML engine makes it possible to:
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Model complex events that do not fit any known probability distribution.
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Auto-discover interesting associations, rules, relations, anomalies or causal relationships.
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Search for probabilistic patterns hidden in the model by iteratively scanning the full joint and conditional probability distributions.
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Develop ML-driven applications that dynamically query and mine the learned probabilistic model.
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Run both forward and backward prediction and classification activities.
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Perform a combination of both profile and item based recommendation tasks
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Run machine learning in a database-like pipeline that serves models similar to the way models are built and shared in SQL databases today.
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Perform Algorithmic Probability Programming (APP) - a new paradigm that enables users to work with probability at a higher level of abstraction.
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Build semi-supervised models that self adjust with new data, while needing little training and tuning.
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Easily interpret and visualization the results of probabilistic reasoning and trace the rules used during inference.