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Technology

iMetal

Last fetched

iMetal is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under advanced analytics and data science, with a published adopter count of 11 hostnames.

Profile

Category
advanced analytics and data science
Broader grouping
operations, intelligence and analytics
Published adopter count
11
Vendor
jonasmetals.com

iMetal is an enterprise resource planning system specifically designed for the metals industry. It facilitates business operations by optimizing processes, reducing costs, and enhancing productivity. The solution includes features such as real-time monitoring and predictive analytics to aid businesses in making informed decisions and adapting to market changes.

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

Sample adopters

11 hostnames WhisperGraph observed running iMetal, a sample of the 11 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 11 iMetal adopters, not of all 11 published adopters. A hostname counts once per network.

Related pages

Pivot from iMetal 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.