Startup profile for Preset: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Preset funding, valuation and investors

Managed cloud platform for Apache Superset open-source business intelligence.

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Funding, valuation & investors

Answer-first snapshot

Latest 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

Investors in latest funding

Lead: Andreessen Horowitz

Other: Redpoint Ventures

Sources: latest funding Last verified: 2026-07-25

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)

Investors 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.

  • Looker incumbent

    Google Cloud proprietary BI; deeper GCP integration but closed stack versus Superset OSS flexibility.

  • Metabase Cloud direct

    Hosted open-source BI alternative; simpler UX but smaller ecosystem than Superset.

  • Self-hosted Superset alternative

    Free OSS path; teams absorb infra, upgrades, and on-call burden Preset removes.

  • 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

Enterprise SaaS Developer Tools

Related funding articles

Venture Capital Tracker pieces that cover Preset's financing or category context.

FAQs about Preset

Practical answers founders, operators, and investors typically search for.

Preset is the company behind commercial Apache Superset — managed cloud hosting, enterprise security, embedded analytics, and support for open-source BI. See preset.io for product details.
Maxime Beauchemin, who also created Apache Airflow and Apache Superset while at Yahoo, Facebook, Airbnb, and Lyft.
Redpoint led the $35.9M Series B; a16z led the 2026 Series C. Both appear on the cap table. See /fund/andreessen-horowitz and /fund/redpoint-ventures.
Preset is built on open-source Superset with SQL-native exploration; Looker is Google Cloud's proprietary semantic-layer BI. Preset suits teams wanting OSS portability; Looker suits all-in Google stacks.
400+ customers per Preset's March 2026 Series C announcement.
March 2026 — $7.27M led by Andreessen Horowitz with Redpoint and Datatech.fund participating.
Yes. Preset contributes to and sells managed enterprise services around the Apache-licensed Superset project — it does not fork or close-source the core.
An open-source data exploration and visualization platform with 70,000+ GitHub stars, used for dashboards and ad-hoc SQL analytics.
Not publicly disclosed. The 2026 Series C blog emphasizes capital efficiency and customer growth rather than profitability metrics.
San Mateo, California. The company was founded in 2019.

By Venture Capital Tracker

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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.