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Technology

Cledara

Last fetched

Cledara is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under accounting and finance, with a published adopter count of 70 hostnames.

Profile

Category
accounting and finance
Broader grouping
accounting and finance, software development
Published adopter count
70
Vendor
cledara.com

Cledara is a financial management platform designed to assist finance teams in overseeing their organization's software expenditures. It provides visibility into the software stack, enabling users to identify excessive or unnecessary costs and streamline administrative processes related to software management. This helps organizations optimize their spending and improve operational efficiency.

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

Sample adopters

20 hostnames WhisperGraph observed running Cledara, a sample of the 70 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Cledara adopters, not of all 70 published adopters. A hostname counts once per network.

Related pages

Pivot from Cledara 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.