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Technology

AVEVA Marine

Last fetched

AVEVA Marine is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under design, with a published adopter count of 79 hostnames.

Profile

Category
design
Broader grouping
audio, video, graphics, web tools and plugins
Published adopter count
79
Vendor
aveva.com

AVEVA Marine is a marine engineering and ship design software suite that supports the creation, modeling, and detailed engineering of ships and offshore structures with integrated 3D design, class approval workflows, and production deliverables. It enables collaboration across disciplines from concept to construction with a unified data environment tailored to the maritime industry.

Vendor site: https://www.aveva.com/en/industries/marine

Sample adopters

20 hostnames WhisperGraph observed running AVEVA Marine, a sample of the 79 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 AVEVA Marine adopters, not of all 79 published adopters. A hostname counts once per network.

Related pages

Pivot from AVEVA Marine 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.