Curated Data Fails at Scale: Altimetrik’s Jayaprakash Nair on AI’s Real-World Challenges

Altimetrik’s Jayaprakash Nair on AI Scalability, Safety & India’s Role

In a recent interview with TechCircle, Jayaprakash Nair, Head of AI & Analytics at Altimetrik, discussed the company’s focus on moving AI from proof-of-concept to large-scale production. Nair emphasized the importance of automated, production-ready data pipelines to replace manual curation, the need for transparent communication on AI’s capabilities and limits, and the integration of AI safety tools like SafePrompt to protect sensitive enterprise data before it leaves the organization.

He also highlighted India’s unique position in the global AI landscape, thanks to its vast and diverse data ecosystem, which makes it a natural training ground for advanced AI models. Altimetrik’s strategic bets include building domain-specific models through its Domain Forge framework, strengthening AI safety governance, and simplifying model benchmarking. These efforts, supported by the company’s partnership with OpenAI, are aimed at delivering enterprise-grade AI solutions that prioritize scalability, safety, and tangible business impact.