Apache Superset began as a three-day Airbnb hackathon. Preset’s bet is that the software can stay open while someone pays to keep it running, secure and useful.
A software company had a reporting backlog measured in years. Luzmo sold it a shortcut - and built a business around the work every product team assumes it must do itself.

Polymer began by making spreadsheets searchable. Its sharper pitch now is to put polished, self-serve analytics inside the software your customers already use - without building a BI team first.
A grid, a PDF viewer and a spreadsheet are rarely the reason someone starts a company. Syncfusion turned the things developers dread rebuilding into a 25-year business - and a quiet lesson in selling saved time.
Domo spent 16 years turning scattered corporate data into dashboards, apps, workflows, and AI agents. Its next chapter is a $400 million sale to Progress - a useful lesson in both the power and the economics of becoming a company’s data operating layer.
The New Jersey software company started with a Java reporting engine and survived every new era of analytics. Its current bet is that the next BI winner will be smaller, embeddable and open enough to run wherever the data already lives.

An early startup taught him to find the customer before polishing the product. A decade later, the Toucan CEO is still turning complicated technology into something people can actually use.
The French founders let customers fund the product before investors got a look. A decade later, Toucan is making a sharper wager: the winning dashboard may be the one users never have to learn.
The company that made corporate data searchable is betting that the next dashboard will behave less like a report and more like a careful analyst - one that shows its work.
Inventive is a San Francisco startup building customer-facing AI that B2B SaaS companies embed inside their own products. Its first product, an embedded AI Analyst, lets a software vendor's customers use plain language to explore data, build custom reports, and act on insights. What sets Inventive apart is the layer around the agent: built-in quality and learning systems that test across accounts, catch mistakes, and propose fixes so the AI measurably improves week over week instead of degrading after a good demo. Founded in 2022 by ex-Google, Meta, and Microsoft product and platform veterans, the company launched out of stealth in June 2024 with a $6.5M seed round led by Wing VC.
Metabase is an open source business intelligence and embedded analytics platform that lets anyone - not just analysts - ask questions of their data and build dashboards without writing SQL. Founded in 2014 and spun out of the Expa venture studio, it pairs a friendly visual query builder with a full SQL editor, connects to 20+ databases, and offers white-label embedding so software companies can ship customer-facing analytics. With a free self-hosted edition and paid Cloud and Enterprise tiers, Metabase is used by tens of thousands of companies worldwide.
Zenlytic is a New York based AI analytics company behind Zoe, an AI data analyst that answers complex business questions in plain language and returns verifiable, source-cited results. By pairing large language models with a governed semantic layer, Zenlytic lets non-technical teams self-serve trustworthy analytics from warehouses like Snowflake, BigQuery and Databricks, generating dashboards, presentations and models without a data team in the loop.
Sameer Al-Sakran is the co-founder and CEO of Metabase, the open-source business intelligence tool that grew into an 8-figure ARR company used by more than 70,000 organizations. He spent four years building Metabase without charging a dollar, then turned it into a product-led growth case study by burying a single call-to-action deep in the admin panel and letting the software sell itself. A career machine-learning and data person, he worked in data science, engineering, and venture before deciding the world needed a simpler way to ask a database a question.
Sigma is a cloud-native analytics and business intelligence company that lets anyone explore live data from cloud warehouses like Snowflake, Databricks and BigQuery through a familiar spreadsheet-style interface - no SQL required. Now pivoting into 'agentic analytics,' Sigma layers no-code AI agents on top of governed warehouse data so business teams can ask questions, build apps and trigger actions directly against the data, with security and governance intact.
Omni Analytics is a San Francisco-based business intelligence platform founded in 2022 by former Looker and Google executives. The company builds a semantic layer that turns raw enterprise data into a governed, AI-ready source of truth. With natural language querying, Git-based version control, and deep dbt integration, Omni enables both technical and non-technical users to get trusted answers from their data. The company reached unicorn status in April 2026 after raising $120M in Series C funding at a $1.5B valuation, led by ICONIQ, with participation from Theory Ventures, First Round Capital, Redpoint Ventures, and GV.
Colin Zima is the Co-Founder and CEO of Omni, a San Francisco-based AI-powered business intelligence platform that reached a $1.5 billion valuation in April 2026 after raising $120 million in Series C funding. Previously Chief Analytics Officer and VP of Product at Looker (acquired by Google for $2.6B), Zima co-founded Omni in 2022 with fellow Looker veterans Jamie Davidson and Chris Merrick, building a governed semantic layer and self-service analytics platform that achieved profitability while growing ARR 4x year-over-year.