iLink Digital Partners with DataGaps to Build Trusted Data Foundations for Enterprise AI
The collaboration combines AI transformation, data observability and quality engineering to help enterprises build trusted data ecosystems that accelerate production-scale artificial intelligence and improve governance.
As enterprises scale AI adoption, the partnership aims to improve confidence in business-critical data through automated testing, continuous monitoring and intelligent governance across modern data platforms.
Pune: AI-first enterprise transformation company iLink Digital has entered into a strategic partnership with DataGaps to help enterprises build trusted, AI-ready data foundations, addressing one of the biggest challenges facing large-scale artificial intelligence adoption—ensuring high-quality, reliable and well-governed data.
The partnership brings together iLink Digital’s expertise in data modernization, cloud computing, analytics and AI transformation with DataGaps’ capabilities in AI-powered data observability, automated testing, validation and quality engineering to help organisations improve confidence in business-critical data and accelerate enterprise AI initiatives.
Addressing the Data Challenge in AI
As enterprises increasingly invest in generative AI, advanced analytics and intelligent automation, the quality of underlying data has emerged as a key determinant of AI success.
Through the partnership, customers will gain access to integrated solutions that continuously monitor data quality, proactively identify anomalies and strengthen governance frameworks, enabling organisations to make AI-driven decisions using trusted and validated data.
The collaboration is designed to shift enterprises from reactive data management to proactive, continuous data quality monitoring, helping reduce operational risks associated with inconsistent or inaccurate data.
Accelerating Production-Scale AI
According to the companies, the combined platform will enable businesses to strengthen compliance, improve end-to-end visibility across data pipelines and build scalable AI programmes supported by reliable enterprise data.
“Successful AI initiatives depend on the quality, reliability and governance of the data behind them,” said Sakthi Kannan, CEO – Data & AI, iLink Digital. He noted that the partnership combines complementary strengths in data modernization and quality engineering to help customers accelerate decision-making while delivering measurable business outcomes.
Narendar Yalamanchilli, Founder and CEO of DataGaps, said data observability and quality have become essential capabilities for modern enterprises. He said the collaboration would help organisations improve operational resilience while building stronger foundations for analytics and AI initiatives at scale.
Expanding AI-First Enterprise Transformation
The partnership aligns with iLink Digital’s broader AI-first strategy of helping enterprises transition from pilot AI projects to production-scale deployments.
By integrating modern data platforms with automated observability, governance and quality engineering, the companies aim to help organisations operationalise AI more effectively while ensuring that enterprise data remains accurate, secure and business-ready.
The collaboration reflects the growing industry recognition that trusted data infrastructure has become a strategic prerequisite for successful AI adoption across sectors such as banking, healthcare, manufacturing, retail and financial services.
For more information:
- iLink Digital: https://www.ilink-digital.com/
- DataGaps: https://www.datagaps.com/
