Making AI simple and powerful
Unified Probabilistic Framework
for AI Analytics
How it Works
Integrated pipeline for machine learning
Workflows that allow to query, mine, explore and predict
Scalable architecture to run work loads
Run FlekML engine in stand- alone, local or remotely
Unified Probabilistic ML Framework
Integrated Engine, Server and Python Toolkit for Analytics
Key Features
Flek Platform
Use Cases
Flek's Probabilistic Framework allows users to execute 6 Use Cases
Applications
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Customer Journey Analysis
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E-Commerce Recommendation
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Online Conversion Investigation
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Causal & Influencer Investigation
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Medical Test Prediction
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Insurance Claim Decision
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Bias Detection & Analysis
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Simulation & What If Analysis
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Anomaly & Polymaly Detection
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Campaign List Prediction
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Factor Importance Analysis
The Flek Machine lets businesses answer intelligent questions by providing a unified probabilistic framework for AI Analytics.
Flek is simple to use and deploy because it leverages existing data and people skills found within an enterprise (no need to build new complex pipelines like other ML)
AI citizens can auto-build their models from semi-structured data, then use them to mine, explore, predict and run recommendations. Thus, making it easy to get answers to questions or gain deeper insights into data.
