It is Monday morning at a retail chain with more than a thousand storefronts, and somewhere in that company there is one person who can read a stack of reports and quietly tell you what the next six months hold. Everyone trusts him. Nobody can clone him. He cannot possibly visit a thousand locations, and by the time a problem reaches his desk, it has usually been a problem for weeks.
That gap - between the one brilliant analyst and the thousand blind spots - is the exact space Scoop Analytics decided to occupy. The company does not sell more dashboards. It sells the thing the dashboards were always supposed to produce: a decision. Its pitch, printed plainly across its own front door, is four words long. "Scale your best people's judgment."
Twenty years to notice one thing
Brad Peters spent two decades building business intelligence. He created the analytics line at Siebel Systems that Oracle turned into OBIEE. He founded Birst, took it into the Gartner Magic Quadrant, and sold it to Infor in 2017. He holds a PhD in Bayesian learning theory from Berkeley and an MBA from Harvard. If anyone had earned the right to declare BI solved, it was him.
Instead he arrived at an uncomfortable confession. The tools worked. The people didn't fail at using them. The real problem sat one step earlier: business users weren't struggling with how to query data - they didn't know what question to ask in the first place. Every self-service dashboard in the world assumes you already know what you're looking for. Most people don't.
Scoop's answer is a layer the industry hadn't built yet, stitched together from workflow engines, expert systems, and large language models. The company calls it Domain Intelligence. In plain terms: the software already knows the questions a great analyst would ask, so you don't have to.
"Companies traditionally spent months setting up data warehouses just to give businesspeople limited self-service. Scoop makes it easy for anyone with spreadsheet skills to access, combine and use data without six-figure commitments."
From a Slack message to a full investigation
You type a hard business question into Slack - the kind that usually earns you a two-week wait and a meeting invite. Scoop's AI agent doesn't autocomplete a chart. It reasons in steps: it forms hypotheses, runs diagnostic probes across your data, tests competing explanations in parallel, traces the root cause, and comes back with the finding and a recommended next move. Then it tracks whether the move worked.
Autonomous Investigation
An agentic engine that probes multi-location operations, traces root causes through ML-powered dimensional analysis, and shows the proof behind every conclusion.
Analysis Where Work Happens
Deep multi-step reasoning delivered inside Slack conversations. Available on Business+ and Enterprise Grid at $100 per user per month.
No Migration, No Rip-Out
Runs on your existing data warehouse with 100+ connectors to POS, PMS, CRM and ERP systems. SOC 2 Type II certified.
The cost of a question
How long until you get an answer?
The band, back together
Founded Birst (acquired by Infor); built the analytics line that became Oracle's OBIEE. PhD, UC Berkeley. MBA, Harvard.
Led visualization at Birst. An enterprise-analytics veteran who has shipped BI at scale before.
Led SMB go-to-market at Birst. Keeps Scoop pointed at the people it's actually built for.
Built for the businesses drowning in locations
Retail chains with a thousand-plus stores. Hotel and hospitality groups. Property-management portfolios. Franchise operators. These are companies with far more sites than they have eyes to watch them - the exact place where one great analyst can't scale and Scoop can.
"There's one person in our organization who can look at these reports and see what's going to happen in six months. We have over a thousand locations. He can't get to all of them. We're trying to scale that person."
Latest updates
Announced a $3.5M seed round led by Ridge Ventures, with Engineering Capital and Industry Ventures. Partner Yousuf Khan joins the board.
Launched the Scoop AI Agent for Slack - positioned as the first analytics AI with deep multi-step reasoning.
Repositioned around Domain Intelligence: autonomous investigation for multi-location retail, hotels, property management and franchises.
"Scoop's mission to deliver data analytics without requiring a data team is making self-service business intelligence a reality."
Things worth knowing
- Founder Brad Peters holds a PhD in Bayesian learning theory and stochastic optimization - the math behind teaching machines to reason under uncertainty.
- Before Scoop, he built the analytics line at Siebel that Oracle turned into OBIEE, then founded Birst.
- The entire company thesis comes from one insight: people don't struggle with querying data, they struggle with knowing what to ask.
- Scoop runs on the data warehouse you already have - there is no rip-and-replace migration.
- Its most-quoted customer is an unnamed retail COO trying to "clone" the one employee who can see six months ahead.
- The product's home turf isn't a browser tab. It's the Slack channel your team already lives in.
Demos & interviews
Links & channels
It is Monday morning again at that thousand-store chain. The one brilliant analyst is still there - but he is no longer the bottleneck. Overnight, Scoop screened every location, ranked the handful that actually need attention, and dropped the findings into a Slack channel with the reasoning attached: what happened, why, what to do. He reads three of them before his coffee cools, and spends the rest of the day doing the part only a human can - deciding.
Scoop Analytics didn't replace him. It gave the rest of the company his instincts. The gap between the one person who sees six months ahead and the thousand blind spots he can't reach has quietly closed. That, more than any dashboard, is the product.