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Riveter AI

Custom data enrichment by AI agents - designed for non-technical teams

Riveter empowers non-technical teams to automate data enrichment at scale using AI search agents—no engineers required. With Riveter, you can quickly integrate powerful AI into your existing workflows. E-commerce companies save hundreds of hours by using Riveter to streamline critical operations like launching new products, writing SEO-optimized descriptions, analyzing pricing and competitor data, reviewing customer feedback, and more. Our founding team brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk.
Active Founders
Abigail Grills
Abigail Grills

Abigail Grills, CEO & Co-founder

CEO at Riveter AI | Previously: Middesk, Gusto I have 10 years of product experience, including joining Gusto as an early PM and growing to lead Mid-Market Payroll. I've lead a number of 0 to 1 products including Gusto Time Tracking, State Payroll Tax Registration, and most recently, Address Risk at Middesk. I began my career at early stage consumer electronics startups, where I learned to wear many hats and fill gaps to make sure the job gets done.
Riveter AI
Founded:2024
Batch:Fall 2024
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Diana Hu
Company Launches
Riveter - AI data assistant for spreadsheets
See original launch post

TL;DR ✨

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.

https://youtu.be/sJ4AcwTjzqo

The Problem: ⏰ Time wasted on manual data work

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:

  • 10+ hours/month on competitive research and market/pricing analysis–especially in consumer goods
  • 40+ hours per conference or event cleaning attendee data
  • Months waiting for engineering resources to analyze user segments

The Solution: 🤖 Automate your data workflows in minutes

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.

Why Customers Choose Riveter 👩🏻‍💻

  • No technical setup or engineering required
  • Handles 200,000+ rows of data
  • Automated web search
  • Results in minutes, not days
  • Extremely easy to use

About Us 📖

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.

Get Started 🚀

Ready to streamline your data workflow? Schedule a demo to start your free trial!

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