Meet Our Founding Team

L Ravi

George M

Anil S

Diwakar M

Over 4 decades of IT experience with Mahindra, HCL and Tata Group, and recently retired as President & COO, Tech Mahindra and Member of Mahindra Group Executive Board. Is now an AI Evangelist focused on “AI for Industry” and Ethical AI.

A technology leader with deep experience in service delivery, product development, and automation tools. He pioneered tools for automation 3 decades back and established the AI & Automation group for his last company

An independent Software Quality Assurance leader, with wide experience in Business & Delivery Excellence, Business Process re-engineering and Improvement, DevOps & Security Management

A Quality Assurance & Risk Management professional, with over 3 decades of experience, including scaling his own consulting organization, now with a specific focus on AI Ethics & Regulatory Compliance

3 mn read While discussions have been ongoing regarding the use of fine-tuned Large Language Models (LLMs) for specific enterprise needs, the high cost associated with cloud-based LLMs, including subscription fees and API usage charges, is becoming increasingly evident. This cost barrier has been a major hurdle for many enterprises seeking to transition GenAI-powered solutions from pilot programs […]

3 mn read While we may want to cautiously avoid the term Artificial General Intelligence (AGI) today, it is evident from the general capabilities of the systems currently in place that we are either close to, or perhaps already have, some form of AGI in operation. In this scenario, it is crucial that AI ethics take center stage […]

5 mn read The world of AI and its operational cousins can feel like an alphabet soup: AIOps, MLOps, DataOps, and now, GenAIOps. The key lies in understanding their distinct roles and how they can collaborate to deliver full potential of your Gen AI adoption and data investments. Definitions AIOps, which stands for Artificial Intelligence for IT Operations, […]

3 mn read As the adoption of Generative AI in the enterprise accelerates, one question that will be on Management’s mind: “What does AI cost?” The answer, like most things in business, is nuanced: it depends on the specific needs of the enterprise. For a rough estimates, you can look at comparable businesses. For example, small enterprises with […]

5 mn read With the release of ISO/IEC 42001:2023, there has been a noticeable excitement regarding the establishment of a management system designed to effectively oversee the implementation of AI and its associated applications. It is also known that prior to release this management system there were quite a few standards, Guidelines, technical papers were released in last […]

4 mn read The demand for guaranteed product quality through comprehensive traceability is rapidly spreading beyond the pharmaceutical industry and into other manufacturing sectors. This rising demand stems from both increased customer awareness and stricter regulations. To address this need, manufacturers are turning to Product Traceability, also known as Product Genealogy, solutions. Efforts over the past 4-5 years, […]

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