Automatic Opportunity Discovery
Stop missing funding calls and partnership opportunities because they were posted somewhere you didn't check
The challenge & our answer
The Problem
Funding announcements, collaboration opportunities, and partnership calls are scattered across hundreds of websites, email lists, and community forums. By the time you find them, the deadline has passed or all slots are filled. You can't monitor every source manually — and you shouldn't have to.
The Solution
Action Network Worldwide continuously scans external sources — EU funding portals, grant databases, partner websites, and community posts — to discover opportunities automatically. AI-powered extraction converts unstructured announcements into structured, searchable listings with clear deadlines, eligibility criteria, and funding amounts. Every opportunity carries trust signals showing its source and reliability, so you know what's worth your attention.
Key Capabilities
Multi-Source Discovery
Monitors Mighty Networks community posts, shared email inboxes, and configured web sources (grant databases, EU portals, partner sites) for new opportunities.
AI-Powered Extraction
Converts raw announcements into structured data: opportunity type, title, description, eligibility, deadline, funding amount, and contact details. Handles PDFs, emails, and web pages.
Trust Framework
Every bot-sourced opportunity shows its provenance: where it came from, extraction confidence score, and verification status. High-confidence opportunities publish automatically; lower-confidence ones queue for human review.
Semantic Deduplication
Detects when the same opportunity appears from multiple sources using vector similarity. You see each opportunity once, with all its sources linked.
Community Refinement
Members can suggest corrections to bot-extracted data. Accepted corrections feed back into the AI, improving future extraction accuracy. The system learns from your expertise.
Configurable Quality Gates
Administrators control which sources are active, set trust thresholds for auto-publishing, and adjust confidence requirements. The pipeline adapts to your quality standards.
How It Works
Discovery
Adapters scan community posts, email inboxes, and web sources on a schedule. Each source has its own trust level and crawl configuration.
Classification
AI determines if the content contains an actionable opportunity. News articles and general announcements are filtered out.
Extraction
Structured data is pulled from unstructured text: opportunity type, title, description, eligibility, deadline, funding amount, and tags. Confidence scores are computed per field.
Deduplication
Vector embeddings detect semantic similarity to existing opportunities. Exact matches (same URL or ID) and near-duplicates (reworded announcements) are flagged.
Quality Gate
Composite trust score determines routing: auto-publish high-confidence opportunities, queue medium-confidence for review, or reject low-confidence extractions. All decisions are logged.
Marketplace
Published opportunities appear in the marketplace with trust badges, source attribution, and verification status. Members can browse, search, and connect.