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Gigasheet has raised $9.0M across 2 funding rounds.
Key people at Gigasheet.
Gigasheet has raised $9.0M in total across 2 funding rounds.
Based in Leesburg, Virginia, Gigasheet is an AI-powered analytics platform that enables users to process and analyze massive datasets without coding through a familiar spreadsheet interface. The software specializes in healthcare price transparency data, allowing organizations to extract market intelligence from complex hospital and payer filings. Operating with fewer than 25 employees and generating under $5 million in annual revenue, the company currently serves hundreds of healthcare payers, providers, and industry analysts. The platform integrates directly with major data infrastructure providers like Snowflake, Databricks, and BigQuery, while receiving venture capital backing from investment firms Accomplice and Founder Collective. Gigasheet offers tiered self-service pricing, including a professional tier supporting up to 50 gigabytes of data, alongside enterprise application programming interfaces for programmatic access. The analytics company was founded in 2020 by Jason Hines.
Gigasheet has raised $9.0M across 2 funding rounds. Most recently, it raised $7.0M Series A in June 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2022 | $7M Series A | Accomplice VC, Founder Collective, Argon Ventures, Reed Elsevier Ventures | Animal Capital, AVentures Capital, Casa Verde Capital, Collaborative Seed & Growth Partners, Cyberstarts VC, Jenny Fielding, Scott Hartley, Felicis Ventures, Kindred Ventures, MizMaa Ventures, Okta Ventures, Project 11, Remus Capital, Seven Seven SIX, Sound Ventures, Stellar Capital, Team8, Thirty Five Ventures, Vayner RSE, Griffin Johnson, Jimmy Donaldson, Kevin Hart, Mark Cuban, Dmitri Alperovitch, Rich Miner | Announced |
| Apr 1, 2021 | $2M Seed | — | Accomplice VC, Cyberstarts VC, Jenny Fielding, Scott Hartley, Felicis Ventures, Founder Collective, Kindred Ventures, MizMaa Ventures, Okta Ventures, Stellar Capital, Team8 | Announced |
Key people at Gigasheet.
Gigasheet has raised $9.0M in total across 2 funding rounds.
Gigasheet's investors include Accomplice VC, Founder Collective, Argon Ventures, Reed Elsevier Ventures, Animal Capital, Aventures Capital, Casa Verde Capital, Collaborative Seed & Growth Partners, Cyberstarts VC, Jenny Fielding, Scott Hartley, Felicis Ventures.
Gigasheet is a cloud-based big data analytics platform that provides a familiar spreadsheet interface for analyzing massive datasets—up to billions of rows—without requiring coding, SQL, or database setup.[1][2][3][8] It serves non-technical users like sales, marketing, and security teams, as well as data providers in sectors such as healthcare, cybersecurity, and B2B intelligence, solving the problem of wrangling high-volume data that overwhelms traditional tools like Excel.[1][5][6][7] The company has shown growth momentum through integrations with 135+ SaaS tools, partnerships like RevenueBase for data delivery, and specialized solutions for healthcare price transparency, backed by investors including REV Venture Partners, Argon Ventures, and Founder Collective.[4][6][7]
Founded in 2020 in Leesburg, Virginia, Gigasheet democratizes data analytics by empowering anyone to explore, filter, aggregate, and visualize big data effortlessly.[3][4][5]
Gigasheet was founded in 2020 by Jason Hines (CEO) and Garth Griffin (Director of Data Science), both with strong backgrounds in data science and engineering.[4][6][10] Griffin, based in Somerville, has experience as a data scientist at Recorded Future and Google Workspace, with an MS in Computer Science from Tufts University, where he developed heuristics, predictive models, and wrangled real-world big data.[4] Hines, a co-founder, launched the company to address frustrations in handling massive datasets, initially inspired by needs in cybersecurity investigations where lowering friction for analysts was key.[10]
The idea emerged from recognizing that big data tools demanded too much technical expertise, leading to a platform that combines spreadsheet simplicity with powerful backend analytics.[1][2][10] Early traction came from investors like Argon Ventures and building integrations to streamline data imports, evolving from basic CSV uploads to seamless connections with tools like Salesforce and Mixpanel.[2][4][6]
Gigasheet rides the democratization of big data trend, where exploding data volumes from regulations (e.g., CMS price transparency mandating millions of files) and B2B tools outpace traditional analytics tools' capabilities.[5][7][9] Timing is ideal amid no-code/low-code surges and AI integration, enabling non-engineers in sales, marketing, and compliance to derive insights without data teams.[1][2][6]
Market forces like rising DaaS demand and healthcare data mandates favor it, as providers seek user-friendly delivery over API restrictions.[1][7] Gigasheet influences the ecosystem by powering partners like RevenueBase for unrestricted B2B data access and simplifying AI-driven analysis, bridging spreadsheets with enterprise-scale compute to lower barriers for startups and teams.[2][7][9]
Gigasheet is poised to expand its Data Delivery and AI features, targeting more verticals like cybersecurity and B2B sales where big data accessibility drives efficiency.[1][7][10] Trends in AI-augmented analytics, regulatory data mandates, and no-code proliferation will accelerate adoption, potentially growing via deeper integrations and enterprise wins.[6][9]
As data volumes swell, Gigasheet's mission to make billion-row analysis as simple as a spreadsheet positions it to redefine analytics for the non-technical majority, evolving from a tool to a core infrastructure layer for data-driven decisions.[1][2][3]
