Tech Mahindra has announced the launch of TechM VerifAI, a solution designed to validate and verify AI and GenAI projects. This tool supports enterprises in validating the entire lifecycle of AI projects, facilitating faster scaling of AI initiatives.
TechM VerifAI
TechM VerifAI features a pre-built, 360-degree validation framework for the GenAI lifecycle. It includes customizable metrics, a microservices-based architecture, and easy integration with existing technology stacks. This framework aims to provide quicker and more reliable AI value realization.
Key functionalities include:
- Validation of data quality during discovery and pre-development stages.
- Testing of AI models, frameworks, and hyper-parameters during development to ensure security and accuracy.
- Verification and tuning of deployed models to ensure consistency, explainability, and alignment with user expectations post-deployment.
Leveraging experience from previous validation and verification projects, Tech Mahindra will support enterprises in scaling their AI initiatives efficiently. The company offers comprehensive solutions covering infrastructure, datasets, APIs, GenAI models, and visualization layers.
Following the successful integration of TechM amplifAI with over 100 assets and intellectual properties, TechM VerifAI aims to enhance AI assurance and ensure timely project validation for global enterprises.
In addition, Tech Mahindra recently introduced Project Indus, an open-source Large Language Model designed to communicate in various Indic languages and dialects.
Speaking about the launch, Kunal Purohit, President – Next Gen Services at Tech Mahindra, said,
Many companies have struggled to transition from pilot projects to full enterprise adoption of AI due to the lack of a robust validation and assurance framework. TechM VerifAI addresses this gap by providing a comprehensive framework for evaluating, auditing, and certifying AI solutions across diverse domains and use cases. With TechM VerifAI, enterprises can effectively use AI for growth, success, and rapid scaling by significantly automating their validation and verification processes.