VerifAI: End-to-End lifecycle validation of AI-based projects

Tech Mahindra Limited

Comprehensive AI validation and verification offering, designed to help organizations transition their AI use cases from Proof-of-Concept to Production efficiently and ethically

Customer Challenge:

  • Data quality and bias
  • Ethical considerations & regulations
  • Security aspects and privacy concerns
  • Longer lead time in case of changes
  • Integrating GenAI models with existing systems can be complex
  • AI Transparency and Interpretability

Introducing VerifAI:

Tech Mahindra’s verifAI brings the power of Generative Al and Azure OpenAI to provide a comprehensive AI validation and verification offering, designed to help organizations transition their AI use cases from Proof-of-Concept to Production efficiently and ethically. It provides a 360-degree validation framework with customizable metrics, pre-built solutions for faster value realization, and a microservices-based architecture for seamless integration. verifAI also emphasizes ethical AI practices, ensuring that AI systems perform as intended and adhere to legal and ethical standards.
verifAI is a comprehensive solution for validating and verifying the outcomes of AI and GenAI projects. Through this solution, Tech Mahindra will help enterprises validate the end-to-end lifecycle of AI-based projects, thereby enabling them to scale their AI initiatives with speed.

Our Advisory & Consulting Services

  1. Customized GenAI Studio
  2. Enterprise knowledge Search
  3. Data augmentation for models
  4. Responsible AI adoption
  5. Pre-Development Data analysis, Model selection, Hallucination detection, Monitoring the AI application

Possible Scenarios:

  • Consulting
  • Pre-built solution implementation
  • Proof of concepts
  • Third party solution implementation
  • Tuning of the deployment models
  • Validation and testing of AI models and hyperparameters.
  • Validation of data quality for bias, anomalies and privacy

Business Benefits

  • Faster Product development
  • Quick adoption
  • Regilatory complaint
  • Improved Decision Making
  • Enhanced Data Integrity
  • Increased efficiency at low cost
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