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Gigged AI

Last fetched

Gigged AI is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under generative ai, with a published adopter count of 19 hostnames.

Profile

Category
generative ai
Broader grouping
human resources, web tools and plugins
Published adopter count
19
Vendor
gigged.ai

Gigged AI is a platform designed to help enterprises optimize their workforce by combining full-time employees, on-demand specialists, and AI agents. It provides tools for managing this hybrid workforce to address skills shortages and adapt to changing staffing needs. The technology supports the deployment and coordination of human and AI resources to drive business operations effectively.

Vendor site: https://gigged.ai/

Sample adopters

19 hostnames WhisperGraph observed running Gigged AI, a sample of the 19 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 19 Gigged AI adopters, not of all 19 published adopters. A hostname counts once per network.

Related pages

Pivot from Gigged AI 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.