Technology
Asset Bank
Last fetched
Asset Bank is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under audio, video, graphics, with a published adopter count of 310 hostnames.
Profile
- Category
- audio, video, graphics
- Broader grouping
- audio, video, graphics
- Published adopter count
- 310
- Vendor
- assetbank.co.uk
Asset Bank is a digital asset management (DAM) platform designed for organizations to store, organize, and distribute media assets. The solution provides centralized repositories with metadata tagging, search, and version control for images, videos, documents, and other file types. It includes features such as permission-based access, automated workflows, and integration capabilities with content management systems and marketing tools.
Vendor site: https://www.assetbank.co.uk
Sample adopters
20 hostnames WhisperGraph observed running Asset Bank, a sample of the 310 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 Asset Bank adopters, not of all 310 published adopters. A hostname counts once per network.
Related pages
Pivot from Asset Bank into its category and the vendor behind it.
Queries
Resolves the slug's technology-name candidate(s) and projects the winner's fields.
MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
winner.description AS description,
winner.category AS category,
winner.parentCategories AS parentCategories,
winner.adopterCount AS adopterCount,
winner.url AS url,
winner.vendorApex AS vendorApex,
candidatesRun yourself →Reads a 20-host adopter sample and the ASNs announcing its IP addresses.
MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.