Riveter is a web-based AI tool that enriches and labels large datasets through natural language prompts, similar to ChatGPT. Instead of manually cleaning, organizing, or labeling data, users can simply upload files and instruct Riveter using straightforward prompts.
The platform delivers enriched datasets ready for analysis, campaign deployment, or internal operations�making it especially useful for GTM (go-to-market) and product ops teams.
Performance Score
A
Content/Output Quality
Highly Accurate, Contextually Smart
Interface
Streamlined, Professional
AI Technology
- Natural Language Processing (NLP)
- Data Enrichment AI
- Prompt Engineering
Purpose of Tool
Rapidly enrich, clean, and label large datasets using AI
Compatibility
Web-Based Platform
Pricing
Custom Pricing (Request Demo)
Who is Best for Using Riveter?
- Product Operations Teams: Quickly enrich product datasets for reporting and operational insights.
- Growth Marketers: Analyze market trends by enriching scraped or purchased data.
- Sales Operations Professionals: Prepare cleaner and richer CRM data for outbound campaigns.
- Founders and Startups: Speed up go-to-market research with minimal resource investment.
- Data Analysts: Eliminate tedious manual enrichment tasks and focus on higher-level analysis.
AI-Driven Data Labeling via Natural Prompts
Fast Enrichment of Thousands of Rows
No Engineering or Coding Skills Required
Instant Analysis Across Products, Pricing, SKUs
Works Across Sales, Marketing, Product, and Operations Use Cases
Built for GTM Speed and Efficiency
Highly Scalable for Enterprise Data Volumes
Web-Based Access with a Clean, Intuitive UI
Y Combinator-Backed Trust and Support
Customizable to Any Industry or Data Structure
Is Riveter Free?
No, Riveter operates on a custom pricing model:
- Businesses must request a demo to receive a personalized quote based on data volume, use case, and industry.
- Pricing reflects the AI processing power and scale needed for each client.
Riveter Pros & Cons
Removes bottlenecks from manual data processing
Intuitive and fast setup with simple prompts
Scales effortlessly for large datasets
No dependency on internal engineering teams
Excellent for product ops, GTM teams, and marketers
No self-serve free plan (demo required)
Best suited for structured data formats (CSV, XLSX)
Complex datasets may require multiple prompt iterations
Custom pricing could be expensive for small startups
No native mobile app available
