Riveter is an AI-powered data enrichment platform that enables non-technical teams to automate data collection, cleaning, structuring, and enrichment workflows without requiring engineering resources. Riveter uses AI agents to browse the web, find relevant information, and return accurate, auditable results for large datasets, supporting business operations like product launches, SEO content creation, competitive analysis, customer feedback review, and dataset completion.
How Does Riveter Work?
Riveter’s core product is an AI search agent that automates the end-to-end process of data enrichment. The platform is designed specifically for teams without dedicated technical staff, allowing them to quickly integrate AI-driven data automation into existing workflows. Key capabilities include:
- Web browsing by AI agents to find and collect data
- Cleaning, structuring, labeling, and enriching datasets automatically
- Handling large-scale data (e.g., 200,000+ rows) with detailed audit logs
- Delivering results that are ready for immediate business use
What Problems Does Riveter Solve?
Riveter addresses the challenge many organizations face in rapidly gathering and preparing data for business decisions, particularly when technical resources are limited. By automating manual data collection and enrichment, Riveter helps streamline tasks such as:
- Launching new products with up-to-date market information
- Writing SEO-optimized product descriptions
- Analyzing competitor pricing and product data
- Reviewing and structuring customer feedback
- Completing and updating large datasets for business operations
Who Uses Riveter?
Riveter is built for non-technical business teams in need of scalable, reliable data enrichment without relying on engineering support. Typical users include:
- Product managers
- Marketing and SEO teams
- Operations and strategy professionals
- Market researchers
The platform is especially valuable for companies seeking to automate data workflows as they scale, or when launching new initiatives that require rapid access to structured data.
Who Founded Riveter?
Riveter was founded by a team with deep product and engineering backgrounds from well-known tech companies and YC-backed startups. The founding team includes:
- Abigail Grills (CEO and Co-founder), with extensive product experience at Gusto and Middesk
- Cody Watters (CTO and Co-founder), previously at Retool
- Erica Clark (Co-founder), former engineer and product manager at Airbnb, Gusto, and Middesk
Their combined expertise spans 0-to-1 product launches, engineering, and scaling technology for growth-stage companies.
What Makes Riveter Different?
Unlike traditional data enrichment tools that require engineering integration or manual processes, Riveter focuses on ease of use for non-technical users. The platform offers:
- Automated, AI-powered data workflows
- Transparent, auditable logs of how data is sourced
- Scalability for very large datasets
- Rapid deployment without custom engineering
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