As a Probability Machine, Flek offers unique capabilities that can be applied in multiple domains and for various use cases.
Target Applications
Domains & Market Segments
Thanks to its probabilistic foundation and non-experimental pipeline, Flek can meet the demands of both:
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Insight Mining & Exploratory Analytics
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Decision Making & Predictive Analytics
At a high level, Flek is applicable to a wide range of domains and fields, including:
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Supply Chain
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Marketing
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IoT
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Actuarial Services
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Behavioral Analysis
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Event Detection
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Bio-Statistics & Pharmaceuticals
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Financial Services
Target Problems & Use Cases
Specifically, the Flek Machine with its unique features is geared towards new use cases of AI that require next-generation probabilistic modeling and advanced analytics under uncertainty. For example:
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Simulation and WHAT-IF analysis
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Understanding customer behavior and profile analysis
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Segmentation and recommendation
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Online campaigning and survey analysis
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Demand forecasting and supply chain decision
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Anomaly and Fault detection
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Actuarial services and risk calculation
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Drug testing and disease treatment
By automating many aspects of machine learning and model building, Flek can be used by small to medium enterprises (SME) that cannot afford a full-time data scientists. For larger enterprises, the Flek Platform with its scalable architecture make it easier to run advanced AI analytics and build predictive solutions that cannot be developed with current machine learning tools and techniques.