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Technology

Genesys Engage

Last fetched

Genesys Engage is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under contact center solutions, with a published adopter count of 304 hostnames.

Profile

Category
contact center solutions
Broader grouping
customer service, intelligence and analytics
Published adopter count
304
Vendor
genesys.com

Genesys Engage is a comprehensive customer experience platform that enables organizations to manage customer interactions across various channels, including voice, chat, email, and social media. It provides tools for contact center management, workforce optimization, and analytics to enhance customer engagement and operational efficiency.

Vendor site: https://www.genesys.com/genesys-engage

Sample adopters

20 hostnames WhisperGraph observed running Genesys Engage, a sample of the 304 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Genesys Engage adopters, not of all 304 published adopters. A hostname counts once per network.

Related pages

Pivot from Genesys Engage 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.