Loading organizations...
Loading organizations...
Collate: AI software developer that automates regulatory paperwork for life sciences companies, focused on accelerating product approvals.
Based in San Francisco, California, Collate develops artificial intelligence software designed to automate and streamline regulatory paperwork for life sciences companies. The platform serves organizations operating across the diagnostic, medical device, and drug development sectors by accelerating the progression from initial concept to the commercial market. By digitizing compliance workflows, the technology can potentially increase the speed of product approvals by up to five times. The enterprise was recently recognized on the Forbes 2025 Next Billion Dollar Startups list, highlighting its current growth trajectory within the broader healthcare technology sector. The leadership team brings significant industry experience, including previous ventures such as nVision Medical, which was acquired by Boston Scientific for $275 million, and Lever, which was purchased by Employ for $517 million. The company was founded by Surbhi Sarna, Nate Smith, and Jigish Patel.
Collate has raised $40.0M across 2 funding rounds.
Collate has raised $40.0M in total across 2 funding rounds.
Collate has raised $40.0M in total across 2 funding rounds.
Collate's investors include Ganesh Srinivasan, Karman Ventures, Unusual Ventures, Afore Capital, Array Ventures, C2 Investment, Chingona Ventures, Conviction Partners, Felicis Ventures, First Round Capital, Initialized Capital, Propeller VC.
Collate (getcollate.io) is a semantic intelligence platform that unifies data discovery, observability, governance, and AI capabilities for data teams, built on a semantic metadata graph to ensure trusted data usage across ecosystems.[3][2][4] It serves data leaders and teams in industries like financial services, healthcare, and media by automating metadata enrichment, conversational AI (e.g., AskCollate), governance workflows, and compliance, solving problems of data chaos, inconsistent understanding, and manual overhead to build high-quality data assets for analytics and AI.[3][2][4] A separate entity at collate.com focuses on AI-driven paperwork automation for diagnostic, medical device, and drug development companies, accelerating R&D from concept to market, but the primary Collate in tech discussions is the data platform with strong growth momentum evidenced by deployments, community contributions, and case studies like Mango's 20% productivity boost.[1][3][5]
The platform empowers collaboration with a single pane of glass for data, shared definitions, and AI agents, reducing time on documentation and governance while enhancing insight speed and AI reliability.[2][3]
Collate was co-founded by Suresh Srinivas (CEO), a Hadoop and OpenMetadata committer with prior roles as Hortonworks co-founder and Uber's Chief Architect for data, and Sriharsha Chintalapani (CTO), an Apache Kafka and Storm contributor who architected scalable systems at Uber, Hortonworks, Mozilla, and Yahoo.[2] Their deep expertise in data ecosystems, built on decades of experience tackling complex engineering challenges, drove the creation of a platform to simplify data usability and collaboration.[2][3] Key executives include Steve Wooledge (CMO, ex-Alation, Cloudera) and Nick Doyle (Head of Sales, ex-Redis, Cockroach Labs), emphasizing customer-centric growth.[2] Early traction stems from addressing unmet needs in rapidly evolving data landscapes, with core values like collaboration, proactivity, and value delivery humanizing its fast-paced evolution.[2]
Collate rides the data and AI trust wave, where exploding data volumes demand semantic layers for governance, observability, and reliable AI grounding amid regulations like GDPR and rising LLM adoption.[3][4] Timing is ideal as enterprises shift to AI-driven analytics, needing tools that automate metadata for faster insights and compliant AI—market forces like generative AI proliferation and data mesh architectures favor platforms reducing chaos in multi-cloud setups.[2][3] It influences the ecosystem by enabling smarter data cultures (e.g., Mango case), powering AWS integrations, and contributing to open standards, helping data teams at scale in high-stakes sectors like healthcare and finance.[3][4][5]
Collate is poised to expand as AI agents and semantic search dominate data platforms, with trends like automated governance and LLM integration amplifying its edge in building trusted data products.[3] Expect deeper AWS ecosystem penetration, more enterprise wins via conversational tools, and potential acquisitions as data intelligence consolidates.[4][5] Its influence will grow by shaping collaborative data ecosystems, turning chaos into scalable AI fuel—echoing its mission to empower practitioners from day one.[2]
Collate has raised $40.0M across 2 funding rounds. Most recently, it raised $10.0M Series A in July 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jul 15, 2025 | $10.0M Series A | Ganesh Srinivasan | Karman Ventures, Unusual Ventures |
| Jan 1, 2025 | $30.0M Seed | Afore Capital, Array Ventures, C2 Investment, Chingona Ventures, Conviction Partners, Felicis Ventures, First Round Capital, Initialized Capital, Propeller VC, Quiet Capital, Redpoint Ventures, Satgana, Sequoia Capital, Webtalk Ltd, Y Combinator, Alexander Zhuravlev, Alex Zhuravlev, Reshma Saujani |