Innodata to Showcase GenAI Test + Evaluation Platform at NVIDIA GTC 2025

New York, NY – [March 5, 2025] – Innodata Inc. (NASDAQ: INOD), a leading data engineering company, today announced its participation at NVIDIA GTC 2025, the premier global AI conference taking place March 17–21, 2025, in San Jose, California.
At the event, Innodata will debut its GenAI Test + Evaluation Platform, an enterprise-grade solution designed to help organizations safely deploy generative AI models at scale. The platform helps to address critical challenges such as hallucination detection, bias mitigation, vulnerability testing, and performance benchmarking, and helps to ensure models meet ethical, regulatory, and operational standards.
Schedule a demo of the platform now: https://innodata.com/book-a-meeting/danielle-rue/
Visit Innodata at Booth #3248 to explore live demos of the GenAI Test and Evaluation Platform and learn how it accelerates AI adoption while reducing costs and risks.
For more details, visit https://www.nvidia.com/gtc/.
About Innodata
Innodata (NASDAQ: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative AI / AI innovation. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Explore Recent Articles

Deploying Agentic AI: A Practical Framework for Enterprises
Learn how to deploy Agentic AI with a practical, step-by-step framework designed for enterprise-scale adoption, governance, and ROI.

Is Your Data Good Enough for AI?
Learn how to assess data quality for AI with key KPIs, common pitfalls, and practical solutions to ensure reliable, compliant AI/ML outcomes.

AI Agents vs. Agentic AI
Discover the key differences between AI Agents and Agentic AI— critical for building scalable, autonomous enterprise AI systems.
follow us