Skymel (Mel)

Skymel approaches research from the opposite direction to a search engine. Instead of returning a list of links, you describe a goal — where a technology is becoming real business, which agencies are winning a particular kind of work — and Mel goes looking for the microsignals that indicate what is actually happening. It scans sources as varied as LinkedIn posts, job ads, public filings, Reddit threads, research papers, GitHub repositories, conference talks, earnings calls, patent filings and company sites.

Once those fragments are collected, Mel resolves who, what, where and when behind each one and links them across different names and sources. The result is a knowledge graph organised around your original goal rather than around a keyword. Because the graph tracks entities and events over time, Mel can show which relationships are strengthening and which claims point in the opposite direction.

The graph then becomes the input for three deliverables: intelligence reports that explain what causes a development, custom datasets built from the entities and relationships found, and monitoring that flags the smallest relevant changes as they happen. It is aimed at research, strategy and go-to-market teams rather than casual users, and investigations start at $150.