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§ Private Profile · San Francisco, CA, USA
SaaS provider offering data transformation technology for enterprises, optimizing data team workflows on Snowflake's Data Cloud.
Coalesce Automation is a SaaS company that develops data transformation technology designed to optimize analytical workflows for enterprise data teams operating exclusively on the Snowflake Data Cloud. The platform provides scalable infrastructure that allows data practitioners, engineers, and business leaders to manage complex pipelines and extract insights from large corporate datasets. The enterprise software provider operates on a subscription-based revenue model and recently expanded its financial scale by securing $50 million in Series B venture capital funding. This institutional financing round was co-led by investment firms Industry Ventures and Emergence Capital, with additional equity participation from Telstra Ventures. The organization also receives strategic financial backing and formal advisory support from former Snowflake chief executive officer Bob Muglia as it develops new artificial intelligence capabilities. Coalesce Automation was founded in 2020 by Armon Petrossian and Satish Jayanthi.
Coalesce Automation has raised $82.0M across 3 funding rounds.
Coalesce Automation has raised $82.0M in total across 3 funding rounds.
Coalesce Automation is a San Francisco-based technology company founded in 2020 that builds a metadata-driven data transformation and catalog platform designed for scale and AI readiness.[1][3][4] Its core product enables data teams to build, test, and discover governed data 10x faster without tech debt, combining an intuitive graphical user interface (GUI), code flexibility, and automation for transformations.[1][3] Coalesce serves enterprises in sectors like insurance, retail, eCommerce, healthtech, fitness, and equipment rental, solving critical bottlenecks in data pipeline development, quality assurance, metadata management, and AI/BI delivery by automating repetitive tasks and unifying business-technical metadata.[3][4] Backed by investors including Emergence Capital, 11.2 Capital, GreatPoint Ventures, and Industry Ventures, the company has demonstrated strong growth through customer wins, a $26M Series A in 2022, and expanding capabilities like multi-cloud support (Snowflake, Databricks, Microsoft Fabric, Google BigQuery).[1][4]
Coalesce emerged in 2020 to address the analytics bottleneck of building quality data at scale, founded amid the rise of cloud data warehouses like Snowflake.[1][3][4] The company exited stealth in 2022 with a data transformation platform optimized for Snowflake's AI Data Cloud, quickly raising $26M in Series A funding from prominent VCs.[4] Key early milestones include 2023 awards such as SaaS Award Winner, Tech Trailblazers “Best Big Data Trailblazer,” and Inc. Best Workplace, signaling rapid validation.[4] By 2025, Coalesce accelerated innovation with AI Copilot, the acquisition of CastorDoc to launch Coalesce Catalog, deep transformation-catalog integration, and AI Documentation Assistant, evolving from a transformation tool to a comprehensive AI-ready data platform.[4] This trajectory reflects founders' focus on empowering data engineers with productivity gains, as evidenced by customers achieving 10x faster pipeline development and 80x quicker data staging.[3][4]
Coalesce stands out in the crowded data tooling space through these key strengths:
Coalesce rides the explosive growth of AI-driven analytics and cloud data platforms, where data teams face overwhelming demands to deliver governed, real-time data for LLMs, BI, and enterprise AI amid exploding volumes.[3][4] Timing is ideal post-2022 cloud warehouse maturity (e.g., Snowflake AI Cloud), as market forces like regulatory compliance, legacy system retirements, and Data Mesh adoption amplify needs for automation over manual SQL scripting.[3][4] By embedding metadata, AI discovery, and quality controls natively, Coalesce influences the ecosystem toward "data products" at scale, partnering with top cloud providers and enabling faster AI initiatives without silos or rework—positioning it as a linchpin for the shift from data engineering drudgery to innovation.[3][4]
Coalesce is poised for hypergrowth as AI copilots and catalog features mature, targeting deeper penetration in multi-cloud environments and expanding into emerging standards like Iceberg.[3][4] Trends like agentic AI, real-time analytics, and federated data governance will propel demand, with acquisitions like CastorDoc signaling a full-stack data operations play.[4] Its influence may evolve from niche transformer to ecosystem orchestrator, potentially via IPO or further M&A, empowering more teams to unlock AI value without the scale pitfalls that plague rivals—cementing its role as the data team's ultimate accelerator.[1][3][4]
Coalesce Automation has raised $82.0M in total across 3 funding rounds.
Coalesce Automation's investors include Emergence Capital, Industry Ventures, 11.2 Capital, Madrona Ventures, Bob Muglia, DNX Ventures, GreatPoint Ventures, Hyperlink Ventures, Next Legacy Partners, Harsha Kapre, Saad Siddiqui, Crosslink Capital.
Coalesce Automation has raised $82.0M across 3 funding rounds. Most recently, it raised $50.0M Series B in April 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2024 | $50M Series B | Emergence Capital, Industry Ventures | 11.2 Capital, Madrona Venture Group, BOB Muglia, DNX Ventures, GreatPoint Ventures, Hyperlink Ventures, Next Legacy Partners, Harsha Kapre, Saad Siddiqui | Announced |
| Sep 1, 2022 | $26M Series A | Emergence Capital | 11.2 Capital, Crosslink Capital, Industry Ventures, Rally Ventures, BOB Muglia, GreatPoint Ventures | Announced |
| Jan 1, 2022 | $6M Seed | — | 11.2 Capital, Emergence Capital, Industry Ventures, BOB Muglia | Announced |