Data is the most valuable currency, but for most startups, it's trapped inside different platforms, requiring days of digging, combining, and packaging to answer basic and constant questions.

Your team needs this data to make decisions. Your investors are asking for it and want updates. Questions that seem simple are surprisingly hard to answer, particularly for early stage companies: What's our win rate this year, who's the leading sales rep, and what percent of the wins are theirs? What's our CAC and conversion rate by acquisition channel? How many leads did we generate last month by source? When will we run out of money if we ramp marketing spend in the most successful channels?

The answers to these questions exist in your systems but are scattered across salesforce, stripe, HubSpot, your database, each requiring someone to extract, transform, and reconcile the data before you can begin analysis.

We’re familiar with these problems which is why we got excited when Lowell Putnam and Andy Salamon told us they were building Supper.

Lowell and Andy built Supper as an agentic data platform that connects directly to your existing sources and answers questions in natural language, in real time. Not summaries of yesterday's data or static dashboards, but live answers that cross and combine your data sources on demand.

The interface is conversational where you can ask a question and get an answer. Ask a follow-up, get another. If Supper doesn't understand, it asks clarifying questions until it does. With correctly connected data sources and models that integrate them into a single conversational interface, the system can replace complex Excel models and SQL queries, making data accessible to everyone in the company, not just those who can code.

Supper's core value is speed. Fast to integrate, fast to stand up, fast to ask,and fast to answer. Early customers are already automating board reports, investor updates, and marketing readouts that used to consume days of work.

Data is the most valuable currency, but for most startups, it's trapped inside different platforms, requiring days of digging, combining, and packaging to answer basic and constant questions.

Your team needs this data to make decisions. Your investors are asking for it and want updates. Questions that seem simple are surprisingly hard to answer, particularly for early stage companies: What's our win rate this year, who's the leading sales rep, and what percent of the wins are theirs? What's our CAC and conversion rate by acquisition channel? How many leads did we generate last month by source? When will we run out of money if we ramp marketing spend in the most successful channels?

The answers to these questions exist in your systems but are scattered across salesforce, stripe, HubSpot, your database, each requiring someone to extract, transform, and reconcile the data before you can begin analysis.

We’re familiar with these problems which is why we got excited when Lowell Putnam and Andy Salamon told us they were building Supper.

Lowell and Andy built Supper as an agentic data platform that connects directly to your existing sources and answers questions in natural language, in real time. Not summaries of yesterday's data or static dashboards, but live answers that cross and combine your data sources on demand.

The interface is conversational where you can ask a question and get an answer. Ask a follow-up, get another. If Supper doesn't understand, it asks clarifying questions until it does. With correctly connected data sources and models that integrate them into a single conversational interface, the system can replace complex Excel models and SQL queries, making data accessible to everyone in the company, not just those who can code.

Supper's core value is speed. Fast to integrate, fast to stand up, fast to ask,and fast to answer. Early customers are already automating board reports, investor updates, and marketing readouts that used to consume days of work.