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Technology

Dragon NaturallySpeaking

Last fetched

Dragon NaturallySpeaking is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under machine learning, with a published adopter count of 81 hostnames.

Profile

Broader grouping
software development
Published adopter count
81

Dragon NaturallySpeaking is a speech recognition software developed by Nuance Communications. It converts spoken words into text, enabling hands-free dictation and control of computers. The technology uses advanced algorithms to improve accuracy over time, adapting to individual voices and accents. It's widely used for accessibility and productivity enhancement.

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

Sample adopters

20 hostnames WhisperGraph observed running Dragon NaturallySpeaking, a sample of the 81 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Dragon NaturallySpeaking adopters, not of all 81 published adopters. A hostname counts once per network.

Related pages

Pivot from Dragon NaturallySpeaking 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.