Skip to content

Technology

Focal

Last fetched

Focal is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad creative management, with a published adopter count of 5 hostnames.

Profile

Broader grouping
audio, video, graphics, advertising, intelligence and analytics, communication and collaboration
Published adopter count
5

Focal is a digital asset management platform designed for performance advertising teams. It utilizes AI to organize, connect, and make thousands of creative assets discoverable, linking them with performance data. The platform consolidates tools such as file storage, project management, spreadsheets, and analytics into a single workflow from brief creation to approval and optimization.

Vendor site: https://www.reikanfocal.com/

Sample adopters

5 hostnames WhisperGraph observed running Focal, a sample of the 5 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 5 Focal adopters, not of all 5 published adopters. A hostname counts once per network.

Related pages

Pivot from Focal 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,
       candidates
Run 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 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.