Collate envisions a future where data is universally understood, trusted, and accessible, enabling organizations to harness the full power of their information assets amidst the accelerating AI era. By unifying metadata through advanced AI and a robust knowledge graph, Collate transforms fragmented data environments into cohesive, governed ecosystems that inspire confidence and foster innovation.
At its core, Collate advances the open-source OpenMetadata project, delivering a managed platform that extends beyond traditional metadata management. The company empowers data teams with intelligent automation, streamlined governance, and collaborative tools that scale with enterprise complexity, ensuring data integrity, compliance, and accessibility across vast, cloud-native architectures.
Driven by a commitment to pioneering data intelligence, Collate is shaping the next generation of data ecosystems where AI-augmented insights fuel transformative outcomes. It is dedicated to enabling organizations to not only manage data but to orchestrate it as a strategic asset, accelerating innovation and operational excellence in an AI-driven world.
Our Review
We've been tracking Collate for a while now, and honestly, this team gets it. When you have industry veterans who helped build Apache Hadoop and Kafka launching a data platform, you pay attention. What they've created feels like the natural evolution of enterprise data management — finally, someone's tackling the metadata mess that's been plaguing data teams for years.
The company takes OpenMetadata, an already impressive open-source project, and transforms it into a fully managed service that actually works at enterprise scale. No more cobbling together fragmented tools or drowning in metadata chaos.
The Unified Knowledge Graph Advantage
Here's where Collate really shines: their Unified Knowledge Graph approach. Instead of having your data scattered across dozens of systems with no clear lineage, everything connects into one intelligent view. We love how this enables permission-aware AI answers — your teams can ask natural language questions about data and get responses that respect security boundaries.
The AI automation agents are particularly clever. They're not just throwing AI at the problem for marketing points; they're solving real workflow bottlenecks that data engineers face daily.
Built by People Who've Been There
What impressed us most is the founding story. CEO Suresh Srinivas and CTO Sriharsha Chintalapani aren't startup rookies — they're the folks who built data infrastructure at Uber and Hortonworks. When they tell you about data governance pain points, they're speaking from experience, not theory.
This shows in the product. Features like data contracts and automated governance workflows feel like they were designed by people who've actually had to manage enterprise data estates, not just read about them.
Real Results That Matter
We're always skeptical of productivity claims, but Mango's 20% increase caught our attention. That's the kind of measurable impact that gets C-suite buy-in. When a major retailer with complex data operations sees those kinds of gains, it validates the approach.
The $10M Series A from Venrock also signals serious confidence in the team's vision. With around 50 employees and $6.7M in revenue, they're scaling thoughtfully rather than burning cash on growth-at-all-costs.
For enterprise data teams drowning in metadata management or struggling with data discovery at scale, Collate represents a mature, battle-tested solution. It's not the flashiest data tool out there, but it might just be the most essential.
Features
Managed OpenMetadata service with enhanced product features
Unified Knowledge Graph integrating metadata from all data sources
AI-powered automated governance workflows
Leadership dashboards and data quality profilers
Data contracts, glossary/tag management, and privacy/security enhancements
FAQs
Ploy was founded in 2024.
Enterprise AI is only as good as the context behind it. Frontier models that score 90% on academic benchmarks drop to roughly 11% accuracy on real enterprise data, because the meaning of that data lives in scattered tools, stale docs, and people's heads. Collate is the AI for Data platform, built on OpenMetadata, the open context layer for AI. We ground people and AI agents in shared semantic context: what your data means, where it came from, whether it can be trusted, and what your organization has already learned about it. That foundation powers two things: • Agents that automate the mundane in data management — documentation, classification, quality testing, and governance at scale. • AI analytics business users can trust — ask a question in plain language, get answers grounded in your own business meaning, human knowledge, definitions, lineage, and policies. The result is measurable: grounding AI in governed semantic context lifts answer accuracy from ~11% to 76.5% on real enterprise data (Spider 2.0) and greatly reduced AI token consumption. The world's most advanced AI teams take this approach. OpenAI built its internal data agent on OpenMetadata, serving 3,500+ employees across 600+ PB of data a day. Wix centralized 25,000+ data assets and 130,000+ lineage connections, cutting engineering toil by 675 hours a month while AI agents answer data questions in about a minute. Yelp runs 100K+ assets in production, tuning agent payloads ~80% smaller. Teams at Scout24, Unity, Rakuten, and Ambry Genetics build on the same foundation. Built in the open: OpenMetadata is the largest open-source metadata community, with 130+ connectors and open standards that keep your context portable and LLM-ready. See it in action: getcollate.io/book-demo
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