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Preset funding, valuation and investors
Managed cloud platform for Apache Superset open-source business intelligence.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series C
$7.27M · March 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$43M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · San Mateo, CA
Overview
Preset sells managed cloud hosting, enterprise security, and support for Apache Superset — the open-source business intelligence platform Maxime Beauchemin created at Airbnb. The San Mateo company (founded 2019) runs Preset Cloud so teams can deploy dashboards without operating Superset infrastructure themselves. Redpoint Ventures led a $35.9M Series B in August 2021 with a16z participating; a16z led a $7.27M Series C in March 2026 with Redpoint and Datatech.fund re-upping. Preset reports 400+ customers and positions Superset's 70,000+ GitHub stars as organic distribution that enterprise features convert into revenue.
Why Preset is interesting
Maxime Beauchemin created both Apache Airflow and Superset; Preset commercializes the fastest-growing OSS BI stack with 400+ paying customers and a capital-efficient Series C in 2026.
Product & use cases
Preset provides managed Superset cloud, private-cloud deployments, embedded analytics, and enterprise governance — turning the open-source BI project into a production-ready analytics stack with collaboration and AI-assisted exploration.
- Hosted Apache Superset dashboards without self-managed infrastructure
- Enterprise OSS analytics with SSO, RBAC, and audit logging
- Embedded analytics inside customer-facing SaaS products
- Self-service data exploration for analysts and business teams
Key facts
- Series B (Aug 2021): $35.9M led by Redpoint Ventures; a16z participated (Preset blog)
- Series C (Mar 2026): $7.27M led by a16z; Redpoint and Datatech.fund participated (Preset blog)
- 400+ customers on managed Superset; 70,000+ GitHub stars on Apache Superset (Preset Series C blog)
- Founder Maxime Beauchemin also created Apache Airflow; Tomasz Tunguz (Redpoint) joined board at Series B
- Preset Cloud GA announced alongside Series B for fully hosted Superset deployments
Funding history (newest first)
Series C
2026-03 $7.27MSeries B
2021-08 $35.9MInvestors in our directory
Funds linked from Preset's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Creator-led commercial layer on the most-adopted open-source BI project — Preset inherits Superset's community distribution while selling the ops, security, and support enterprises need.
Preset monetizes the operational tax of running Superset at scale. Incumbent cloud BI suites compete on integrated vendor stacks; Preset wins where teams want OSS portability, SQL-native exploration, and community momentum. The 2026 Series C doubles down on AI-assisted analytics atop Superset rather than pivoting away from the core project.
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Looker incumbent
Google Cloud proprietary BI; deeper GCP integration but closed stack versus Superset OSS flexibility.
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Metabase Cloud direct
Hosted open-source BI alternative; simpler UX but smaller ecosystem than Superset.
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Self-hosted Superset alternative
Free OSS path; teams absorb infra, upgrades, and on-call burden Preset removes.
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Tableau Cloud incumbent
Mature enterprise BI incumbent; higher license cost and less developer-native than Superset.
Notable stories
- Apache Superset began as Maxime Beauchemin's 2015 Airbnb hackathon project to visualize Apache Druid data — it eventually surpassed Tableau as Airbnb's primary visualization tool before graduating to an Apache Software Foundation top-level project (Preset about page).
- Preset's March 2026 Series C blog cites capital efficiency as a reason to raise a relatively small $7.27M round while Superset adoption compounds organically inside enterprises — teams discover it, spread it internally, and then buy managed support.
Industries
Related funding articles
Venture Capital Tracker pieces that cover Preset's financing or category context.
FAQs about Preset
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