Technology
Alvarez & Marsal
Last fetched
Alvarez & Marsal is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under accounting and finance, with a published adopter count of 157 hostnames.
Profile
- Category
- accounting and finance
- Broader grouping
- accounting and finance
- Published adopter count
- 157
- Vendor
- alvarezandmarsal.com
Alvarez & Marsal is a professional services firm that provides performance improvement, turnaround management, and business advisory services. It assists organizations in transforming their operations, driving growth, and accelerating results through strategic and operational actions. The firm delivers consulting services aimed at enhancing business performance and managing change effectively.
Vendor site: https://www.alvarezandmarsal.com/
Sample adopters
20 hostnames WhisperGraph observed running Alvarez & Marsal, a sample of the 157 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 Alvarez & Marsal adopters, not of all 157 published adopters. A hostname counts once per network.
Related pages
Pivot from Alvarez & Marsal 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,
candidatesRun 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 200Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.