Webhound
Webhound is an AI research agent that autonomously browses the web to build structured datasets from unstructured public information.
Raised $500,000 across disclosed rounds.[1]
Pre-Seed closed September 2023, led by Y Combinator.[1]
post-money valuation is not publicly disclosed.
Named investors include Y Combinator.[1][2]
Apify · apify.com · Adjacent use case—structured data from the web—but Apify requires scraper configuration or actor selection, while Webhound targets natural-language task input as the primary interface, positioning against the developer/configurator workflow.[1][2]
Parallel Web Systems · parallel.ai · Both serve AI agents/workflows that need structured web data at scale; Parallel is upstream infrastructure (search index API), Webhound is a task-level research agent that builds output datasets.[3]
Clay · clay.com · Overlapping buyer (sales/GTM teams wanting enriched datasets from web sources) and similar workflow of assembling structured data from disparate web inputs, though Clay focuses on GTM enrichment via pre-integrated data providers rather than open-ended web...[1]
The customer proof is company-sourced only. No independent source in this ledger confirms it.[1]
Ask for one referenceable production customer.
Not a recommendation. The first thing this ledger cannot answer.
Filled in the side panel for invited readers. This card carries sourced facts only.
May 2026 · app.engr-sng.com
reported
May 2026 · prnewswire.com
company
Webhound
Webhound is an AI research agent that autonomously browses the web to build structured datasets from unstructured public information.
Ask for one referenceable production customer.
Not a recommendation. The first thing this ledger cannot answer.