iLink Digital, a leading AI-first enterprise transformation partner, today announced a strategic partnership with DataGaps, a provider of AI-powered data observability, testing, validation, and quality engineering solutions. The collaboration aims to help enterprises build trusted data foundations that accelerate AI adoption, strengthen governance, and improve confidence in business-critical data.
As organizations increase investments in AI, advanced analytics, and intelligent automation, the quality and reliability of underlying data have emerged as critical success factors. iLink Digital remains committed to understanding the evolving needs of its customers and collaborating with market-leading technology partners to deliver innovative, outcome-driven solutions.
The partnership with DataGaps further strengthens iLink Digital's ability to help enterprises establish trusted, AI-ready data foundations through enhanced data observability, testing, validation, and quality engineering capabilities. Together, the organizations will enable customers to improve governance, increase confidence in business-critical
The partnership brings together iLink Digital's expertise in data modernization, cloud, analytics, and AI transformation with DataGaps' capabilities in automated data testing, observability, validation, and continuous quality monitoring. Together, the companies will enable organizations to proactively identify data issues, strengthen governance frameworks, and ensure data remains reliable, accurate, and ready for AI-driven decision-making.
By combining modern data architectures with intelligent observability, the partnership will help enterprises improve trust in data used for analytics and AI, strengthen compliance and governance initiatives, gain end-to-end visibility across data pipelines, and reduce operational risks associated with data inconsistencies.
The collaboration is designed to help organizations move from reactive data management approaches to proactive, continuous monitoring and quality assurance. "Organizations are increasingly recognizing that successful AI initiatives depend on the quality, reliability, and governance of the data behind them," said Sakthi Kannan, CEO- Data & AI, iLink Digital.
"Our partnership with DataGaps brings together complementary strengths in data modernization and data quality engineering, enabling customers to build trusted data ecosystems that support innovation, accelerate decision-making, and drive measurable business outcomes."
Narendar Yalamanchilli, Founder & CEO - DataGaps, added, "Data observability and quality are no longer optional in today's data-driven enterprises. By partnering with iLink Digital, we can help organizations gain greater confidence in their data, improve operational resilience, and create a stronger foundation for analytics and AI initiatives at scale."
The partnership marks another important step in iLink Digital's AI-first strategy, highlighting its commitment to helping enterprises move beyond AI experimentation and achieve production-scale outcomes. By combining advanced data observability and quality engineering capabilities with modern data platforms, governance frameworks, analytics, and AI expertise, iLink Digital and DataGaps will help organizations build scalable, trusted, and business-ready AI programs grounded in high-quality data.
About DataGaps
DataGaps provides AI-powered data observability, testing, validation, and quality engineering solutions that help organizations improve trust, reliability, and governance across modern data ecosystems. The company's platform enables automated testing, anomaly detection, data monitoring, and observability for enterprise data and analytics environments.
About iLink Digital
iLink Digital is an AI-first enterprise transformation partner helping organizations move from experimentation to production-scale outcomes. With expertise across Data & AI, Cloud & Infrastructure, Digital Engineering, Business Applications, and Cybersecurity, iLink enables enterprises to modernize technology foundations, operationalize AI, and create measurable business value through intelligent, scalable solutions.