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Room 916, Building A, Zhongguancun SOHO, 8 North Second Street, Haidian, Beijing, China

Overview

谛声科技 develops AI acoustic-detection technology for industrial applications, specializing in multi-microphone-array complex sound-field signal processing and analysis. The company provides AI intelligent acoustic fault detection, operations and maintenance and diversified solutions to industrial manufacturing, energy, power and rail-transport customers. It recently completed a B+ financing round of more than ¥100 million. The round was led by Beijing Zhongyi Digital New Economy Industry Fund, an investment vehicle under China Mobile, with participation from October Capital, Gaochuang Investment, Wild Grass Ventures and others. Proceeds are planned for product R&D, production-line expansion and market promotion. The company positions itself as an explorer of acoustic inspection AI technologies for industrial use cases. 谛声科技 (Dishing Technology) develops end-to-end acoustic sensing products that combine microphone arrays and proprietary acoustic algorithms to detect and locate faults in industrial equipment. Its offerings include non-contact terminal devices and a SaaS platform that deliver AI acoustic fault detection, fault localization, and maintenance alerts for rail, power, and broader industrial customers. The company reports large-scale data collection partnerships (including with an electrical research institute) and claims industry-leading accuracy across 50+ power-grid fault types, 37 railway fault models, and hundreds of industrial fault models. Products cited include rail running-gear abnormal-sound monitoring, power-plant fault detection systems, and acoustic-imaging terminals, all designed for noisy field environments. 谛声 emphasizes its soft‑and‑hardware approach—microphone-array hardware enabling far-field pickup and software models for de-reverberation, source separation, and classification—to address early-stage fault detection that traditional methods miss. The team says it will use new funding to continue R&D and expand market deployment in power and rail scenarios.

Total raised
$29M
Funding rounds
2
Latest round
Series B
Latest activity
Dec 2023

Industries

  • Artificial Intelligence (AI)
  • Information Technology
  • Software
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Recent funding

  1. Series B

    Dec 2023

    $14M

  2. Series B

    Jan 2023

    $15M

Team

No current team members are available.