Trusted data for trusted AI. Ensure accuracy, completeness, and compliance from day one
QualityKiosk ensures data pipelines remain accurate, compliant, and migration-ready through real-time monitoring, lineage tracing, and rule enforcement. With Datagaps DQ+, Metadata+, plus pre-built industry frameworks, clients accelerate core system migrations, stay ahead of compliance mandates, and scale AI adoption with confidence.
Senior VP at QualityKiosk Technologies, is a PMP-certified expert in quality engineering and digital transformation with 15+ years’ experience advising BFSI leaders across Asia and the Middle East.
Pomil is a Product Growth Leader at UiPath with 11 years of experience across software development, presales, consultative sales, and product growth. He works with enterprises on SaaS consulting, business analysis, and IT due diligence, helping drive technology led transformation initiatives at scale.
Jeevan is a technology leader in enterprise quality engineering, automation, and AI led transformation. He has led 400+ initiatives for Fortune 2000 enterprises, helping drive reliability and scale across complex systems.
Build AI-ready, quality-first data environments with validation, automation, and continuous monitoring for secure, reliable, and audit-ready data.
Ensure trusted data with AI-driven observability.
Monitor pipelines, maintain accuracy, and prevent failures with real-time insights and governance.
Ensure trusted, high-integrity data with our lightweight AI-powered platform for data quality and observability. Detect broken ETL pipelines early, validate schema and data during migrations, and stay compliant with audit-ready datasets.
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