Formcept's MECBot - Real-Time Analytics at Scale

Formcept's MECBot - Real-Time Analytics at Scale

MECBot puts the business first by adopting the Entity Domain Model approach, which operates without any dependency on the underlying databases or the structure of the data. It enables enterprises to perform smart data discovery, auto-recognition of patterns, free-form search & configure ML, DL & Graph-based algorithms that can scale dynamically & utilize hardware efficiently. It automates the entire data unification process envisaging all forms of data. To accomplish this, MECBot first structures the unstructured data contextually using domain-specific business ontologies and marries it with structured transactional data in near real-time. This creates a comprehensive Smart Data Graph for an enterprise (Smart Enterprise Graph). This Smart Enterprise Graph is accessible through “Free Form Vertical Search”, APIs, SparkSQL and Graph QL. MECBot saves more than 80% of pre-processing time & cost and delivers highly actionable insights to boost the ROI manifold.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.



  • Simplicity
    Sets up the application with just a few clicks. Gives results from day one.
  • Speed
    Matches the pace of decision-making with the speed of the original data generation. Significant speed up achieved in Inference using Intel Xeon® Scalable processors, along with the Intel Optimized Tensorflow and Intel Distribution of Python
  • Scale
    Performs elastic scaling based on business needs with dynamic clustering.
  • Security
    Offers banking grade security and role-specific access to the platform.


WorldwideAI Software/SaaSCross-IndustryFinance and InsuranceSoftwareAnomaly DetectionData AnalyticsData Preparations and ManagementCSP - Amazon Web ServicesCSP - Google CloudOn-premise (Private Cloud, Other)Intel® Xeon® Scalable ProcessorIntel® Optimization for TensorFlow*Models cant be re-trained - Inference onlyLinux RNNDeep Learning