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Technology

CADDi Drawer

Last fetched

CADDi Drawer is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under enterprise search, with a published adopter count of 8 hostnames.

Profile

Broader grouping
data management, e-commerce, operations
Published adopter count
8
Vendor
caddi.com

CADDi Drawer is an AI-driven data platform designed for manufacturers of custom parts. It leverages patented AI technology to aggregate, analyze, and extract critical information from drawings and supply chain data. By democratizing access to this data, it supports engineering, procurement, sales, and operations teams in optimizing design and production processes to reduce costs and improve product outcomes.

Vendor site: https://us.caddi.com/

Sample adopters

8 hostnames WhisperGraph observed running CADDi Drawer, a sample of the 8 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 8 CADDi Drawer adopters, not of all 8 published adopters. A hostname counts once per network.

Related pages

Pivot from CADDi Drawer 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.