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Technology

Qolaba AI Studio

Last fetched

Qolaba AI Studio is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under team collaboration, with a published adopter count of 7 hostnames.

Profile

Category
team collaboration
Broader grouping
communication and collaboration
Published adopter count
7
Vendor
qolaba.ai

Qolaba AI Studio is an integrated AI-driven workspace that supports businesses by streamlining content creation, automation, and teamwork. It consolidates various leading AI models and tools into a single platform, eliminating the need for multiple subscriptions and minimizing disruption from switching applications, thus enhancing operational efficiency and collaboration.

Vendor site: https://www.qolaba.ai/

Sample adopters

7 hostnames WhisperGraph observed running Qolaba AI Studio, a sample of the 7 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 7 Qolaba AI Studio adopters, not of all 7 published adopters. A hostname counts once per network.

Related pages

Pivot from Qolaba AI Studio 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.