Most “deep research” tools only skim the surface. CatchAll flips the stack — prioritizing coverage, metadata enrichment, and precision validation before LLM reasoning.
Designed for humans, not machines, it struggles with deeply nested data.
Missing events reduce AI accuracy and put high-stakes decisions at risk.
AI lacks context to provide accurate, trustworthy insights.
Built on NewsCatcher’s proprietary web index, CatchAll turns scattered web signals into complete datasets that don’t exist anywhere else.
01
Maximising recall
Best recall with precision on par or better than alternatives.
02
Metadata enrichment
Structure, label, and clean data to make it machine-readable.
03
LLM
Reason, summarize, and cite with accuracy and context.
CatchAll finds 3x more relevant events than Exa Websets, Parallel AI FindAll, and OpenAI Deep Research.
Best search is no search: enterprises don’t want a query box, they want notifications about predefined real‑world events that matter.
Build new datasets
Transform scattered web signals into structured, verifiable records.
Trustworthy intelligence
Regardless what industry - get the signals relevant to your AI and analysts.
Enterprise reliability
Power real-world decisions with complete, consistent data coverage.
Continuous awareness
Stay updated automatically as new events emerge worldwide.
Secure strategic advantage with real-world signals for your teams and models
What you don't know can hurt you. Let's change that.
