Supper Raises $11M to Simplify Enterprise Data Access, Accelerating Decision-Making

Supper

Supper, the AI-driven data platform designed to streamline enterprise data access, has raised $11 million in a seed funding round led by Union Square Ventures, with participation from BoxGroup, Inspired Capital, Torch Capital, and Avid Ventures. The round aims to accelerate Supper’s mission of enabling fast, reliable, and secure insights across high-growth organizations.

Founded by Lowell Putnam, former founder of Quovo (acquired by Plaid), and Andrew Salamon, co-founder of Hims & Hers, Supper positions itself as a solution to the persistent challenge of fragmented data workflows. The platform allows teams to query and retrieve clean, actionable insights without manually wrangling disparate data sources.

“At fast-growing companies, teams burn hours every week chasing numbers and reconciling spreadsheets,” said Lowell Putnam, CEO of Supper. “Supper removes that hidden friction. Users just ask questions, get insights, and move forward—decisions happen faster, and trust in data grows.”

Andrew Salamon, President of Supper, added: “We built Supper to feel simple, but under the hood, it aggregates, cleanses, and secures data across systems. Teams can focus on high-value work rather than repetitive data preparation.”

Investors see Supper’s platform as a critical step in enterprise productivity. Rebecca Kaden, Managing Partner at Union Square Ventures, stated, “Supper transforms raw data into collective knowledge, enabling teams to act faster. Lowell and Andy’s experience building companies with billions in exits makes them the ideal team for this challenge.”

Supper’s platform is already delivering measurable impact. Customers report saving 7–8 hours weekly for engineering teams previously consumed by internal data requests. By streamlining workflows, the platform allows staff to prioritize product development and strategic initiatives.

Editorial Analysis: Supper enters a market increasingly burdened by fragmented data systems and slow decision-making. The combination of agentic AI and semantic data layering gives Supper a defensible edge, especially in scaling organizations where time-to-insight is critical. By reducing manual data reconciliation, Supper not only improves efficiency but also strengthens governance and trust in enterprise metrics.

The founders’ track record and investor backing indicate a strong growth trajectory. With AI-driven automation becoming essential for data-heavy enterprises, Supper is well-positioned to expand its footprint, particularly in SaaS-heavy and high-growth technology sectors.

If executed effectively, Supper could redefine how organizations operationalize data, moving from reactive reporting to proactive insights that shape strategy in real time. Its focus on usability paired with robust engineering suggests potential for rapid adoption in both early-stage and mature enterprises.

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