List of SoundHound Houndify AI Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Retail 39000 $3.0B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2022 n/a
Retail 13200 $2.1B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2022 n/a
Retail 1400 $310M United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2025 n/a
Retail 58000 $2.2B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2025 n/a
Retail 55 $5M United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2022 n/a
Retail 100 $10M United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2023 n/a
Retail 361000 $36.2B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2017 n/a
Retail 8218 $2.4B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2025 n/a
Retail 8000 $1.2B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2018 n/a
Retail 900 $1.9B United States SoundHound Inc. Legacy SoundHound Houndify AI Platform Cognitive Computing 2021 n/a
Showing 21 to 30 of 124 entries

Buyer Intent: Companies Evaluating SoundHound Houndify AI Platform

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating SoundHound Houndify AI Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating SoundHound Houndify AI Platform for Cognitive Computing include:

  1. Essex North Shore Agricultural & Technical School District, a United States based Government organization with 250 Employees
  2. Ancert Spain, a Spain based Professional Services company with 200 Employees
  3. County of Santa Clara, a United States based Government organization with 21000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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