We built Golden Owl because the data that matters to strategy, like leaks, emerging competitors, reputation hits, and regulatory shifts, is scattered and hard to catch in time.

Golden Owl uses a network of AI agents to monitor and analyze data across the open, deep, and dark web. It pulls from non-indexed sources like court filings, breach dumps, sanctions lists, forum threads, and social media. Then it de-duplicates, merges, and ranks everything in real time.

What it does:

Discover: Finds hidden documents, domains, leaks, forum posts, and more from hundreds of OSINT sources.

Analyze: Uses AI to extract entities, map relationships, detect anomalies, and identify trends.

Monitor: Sends live alerts on brand mentions, competitor actions, geopolitical shifts, and supply chain risks.

Compare: Provides side-by-side dashboards for companies, markets, or investments.

Under the hood:

~200 AI agents act like digital investigators at scale.

Custom scrapers + Tor relays for deep/dark web access.

Vector graph store for relationships and clustering.

API with 100+ endpoints offering both raw and enriched data.

All data stays private—no public indexes, no shared queries.

We're live at https://goldenowl.ai

Would love feedback on: Usability and UI Data coverage and freshness Anything you'd expect from an OSINT tool but don't see

Thanks!