, an AI-powered analytics platform that aims to help people build data-driven companies without hiring a data team, has raised $3.7 million in funding, it tells 附近上门 News exclusively.
Austin-based Dreambase has developed AI-native data agents to do the analytical work that data teams have historically done, according to CEO and co-founder .

After a decade in the Austin tech scene as a “first product hire鈥 working alongside early-stage founders, Keil spent three years as head of product at . By August 2024, he had teamed up with to launch Dreambase. After months of prototyping and proving concepts, the company started offering early access in April 2025.
The startup describes itself as -native and not just Supabase-compatible. Supabase is the developer of an open-source relational database for AI app development that competes with 鈥檚 database.

Dreambase users can connect their Supabase database and get a dashboard 鈥渋n seconds,鈥 according to Keil.
鈥淥ur AI data agents handle the rest,鈥 he told 附近上门 News. 鈥淭hey build dashboards, run analysis and surface insights 24/7. Whether you’re a solo founder shipping your first product or an enterprise AI innovation team running mission-critical analytics, you get a full virtual data team without the headcount.鈥
Interestingly, Supabase鈥檚 team was so impressed with Dreambase鈥檚 products, three of its executives participated in its funding round, including its CFO, CTO and COO. 1聽led the raise, which also included participation from , , , , and . Angel investors from companies including , and QuotaPath also participated.
鈥楾he analytics layer鈥 for every Postgres company
While Dreambase鈥檚 technology is “Postgres native” 鈥 meaning it functions with any Postgres database 鈥 the company saw a massive opportunity within Supabase鈥檚 community of 7 million developers.
For the unacquainted, (often just called “Postgres”) is a popular open-source relational database where a company stores all its most important data such as user profiles, transaction histories, app settings and product logs.
Keil is ambitious about Dreambase鈥檚 potential to help companies at any stage move faster.
鈥淲e plan to be the analytics layer for every company running on Postgres in the world,鈥 he said.
Historically, companies have waited until later stages to hire a data team. But Dreambase says its value proposition is that it goes straight to the database. By providing a “context layer” to LLMs, it allows anyone to ask product questions in natural language.
鈥淥ur AI data agents aren’t a chatbot wrapped around a chart. 鈥 Your Supabase database is the source of truth, and the experience is fast and intuitive whether you’re a founder, engineer, operator or analyst,鈥 Keil said.
Currently a five-person team, Dreambase aims to double its headcount over the next few months by hiring across engineering and enterprise go-to-market.
A 鈥榝undamentally different starting point鈥
Felicis General Partner said her firm was impressed with the fact that Dreambase鈥檚 founding team had 鈥渓ived the problem鈥 the company is trying to solve 鈥渇rom both sides鈥 鈥 Keil as head of product at QuotaPath and Ledbetter leading design at , and .
鈥淭hey’ve watched the same broken sequence play out for years: someone asks a simple question about the product, and the answer takes weeks. What’s different now is that AI can finally do the work a data team used to do, and the Supabase platform they鈥檙e building on is 7 million+ developers and accelerating,鈥 she wrote via email.
Supabase CFO said he invested as an angel into Dreambase because he believes the company 鈥渨ill win the analytics layer for the next generation of Postgres-native companies.鈥
鈥淢ost analytics tools treat Postgres as just another data source to extract from. Dreambase treats it as home,鈥 he wrote via email. 鈥淭hat’s a fundamentally different starting point, and it shows up everywhere in the product, from how fast teams get to their first dashboard to how the AI agents reason about real Supabase schemas. The Postgres ecosystem has been waiting for this analytics layer, and Dreambase is the team building it.
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