We automate the full data lifecycle using embedded AI/ML to deliver self-service data lakehouses and accelerate time-to-insight.
From ingestion to governance, our platform blends augmented intelligence with hands-on engineering to reduce friction, improve trust, and speed up delivery across real-time, cloud, and diverse data environments.
Use AI-powered automation to extract, transform, and monitor data across your ecosystem.
Built-in observability delivers real-time visibility into pipeline health, quality, and lineage—enabling faster issue resolution and continuous optimization.
Break down silos with a unified architecture that supports both centralized and domain-specific models.
Empower your teams to build and manage data products using shared tools and standards—accelerating innovation across the business.
Modernize MDM with automation that handles matching, merging, enrichment, and governance at scale.
Enhance quality with rule-based validation and external enrichment, while improving stewardship workflows and impact analysis through intelligent lineage tracking.
Whitepaper: A Guide to Data Management Strategies for AI
Discover why a strong data foundation is the key to successful AI adoption. This guide helps you assess your current state and design a future-ready architecture that supports enterprise-scale AI initiatives.
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