PromptLoop is aimed squarely at the data-collection bottleneck in B2B sales and go-to-market work. Instead of stitching together a scraper, an enrichment vendor and a spreadsheet script, it puts search, scraping and enrichment into one flow: describe the datapoints you want, point it at a list of companies, domains or search terms, and it returns those columns filled in. The company is backed by Y Combinator and reports 85%+ cost savings and roughly 10x speed versus manual or chat-based research on the same tasks.
The distinctive piece is the Data Agents concept. Rather than prompting row by row, you launch a web agent across an entire dataset so it can read thousands of pages in bulk and pull back deep research, contact emails, mobile numbers and similar fields. This is the same job that general-purpose deep-research tools attempt, but tuned to operate over lists of records and to return structured, spreadsheet-ready output. Templates cover common patterns such as company research, geographic filtering and people search, and a free playground lets you test custom AI models and prompts before committing them to a workflow.
The other half of the product is closing the loop: enriched data is only useful once it reaches the team. PromptLoop provides native HubSpot and Salesforce integrations and works inside Google Sheets and Excel, so enriched records sync straight into the CRM or a shared sheet where the sales team can act on them. Pricing starts free and scales into quote-based plans for larger datasets and enterprise needs, which keeps it accessible for small teams while leaving room for volume users.
