Skymel

Skymel builds a knowledge graph from microsignals found on the open web, organized around a user’s objective. It identifies and connects small details from many sources to form a connected representation of the world over time.

The product guides users through a five-step process: define what to mine, uncover signals, connect who/what/where/when, get a graph view, and put the graph to work. It emphasizes entity resolution, sourcing signals from diverse places, and assembling them into a meaningful structure around a goal.

Mel’s outputs include intelligence reports, custom datasets and monitoring feeds. The system is portrayed as capable of keeping the graph current and highlighting the smallest relevant changes that affect the objective.

The pricing section notes ongoing pricing and mentions current options, with guidance to scope work based on objective and desired output. It also references a starting price per investigation and indicates that no integration is required.

Use cases

• Investigations and market intel built from open-web signals
• Build structured datasets from found entities and relationships
• Monitor changes relevant to a goal over time