With Riveter, you can automate data analysis in minutes—no complex setup needed. Just upload a spreadsheet, and Riveter handles the rest. ⚡
✅ Search the web for answers
✅ Clean & structure messy data
✅ Label & categorize data instantly
✅ Answer qualitative questions
Product, Ops, and GTM teams use Riveter for competitive research, pricing analysis, customer insights, analyzing channel partners, and more.
Companies spend countless hours on manual data work. Marketing teams spend $10k+ on incomplete datasets. Ops teams wait months for engineering support to build features that reduce manual data work. While ChatGPT helps with single queries, it breaks down with large datasets (and typically can’t make it past ~10 rows).
We've seen teams spend:
Riveter brings AI-powered data enrichment to your spreadsheets. Upload any CSV and use natural language prompts to:
Enrich Data with Web Search - Write "find the industry for each company" and Riveter automatically searches the web to fill new columns with accurate data.
Clean & Structure Data - Transform messy data into consistent formats without complex Excel formulas. Simply describe what you need: "Check the spelling and formatting of each company name. Return the correct spelling and format."
Analyze & Label at Scale - Process thousands of rows in minutes. Label customer feedback, categorize products, or analyze competitors' features using natural language prompts.
We’re former engineers and PMs from Airbnb, Gusto, and Middesk. We built Riveter because we were tired of:
🔍 Manually labeling data to build fraud & risk products
📝 Labeling endless user feedback
📊 Analyzing competitors’ products—manually
We now use Riveter daily for tasks like sales, competitive analysis, and conference prep—and we’re excited for you to experience it, too.
Ready to streamline your data workflow? Schedule a demo to start your free trial!