Cochl provides Cochl.Sense, a machine‑listening platform that lets developers classify any ambient sound in real time via a cloud API or an on‑device Edge SDK. Leveraging proprietary deep‑learning models, the service delivers high‑accuracy, hardware‑agnostic sound detection for smart‑home, security, automotive, healthcare, and entertainment applications, while offering flexible deployment and pay‑as‑you‑go pricing.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current AI systems are limited to speech recognition and cannot interpret the broader range of acoustic information present in everyday environments, leaving valuable safety, interaction, and monitoring cues untapped.
Solution
Cochl offers Cochl.Sense, a machine‑listening platform that enables computers to recognize and classify any ambient sound in real time. Users can submit audio files or streams to a cloud API or run the fully optimized Edge SDK locally, ensuring that audio never leaves the device when required. The service leverages proprietary end‑to‑end deep‑learning models trained on extensive, diverse sound datasets, achieving 93 % F1‑score accuracy in real‑world tests. Its hardware‑agnostic design works with any microphone and adapts to varied acoustic environments, allowing deployment across smart‑home, security, automotive, healthcare, and entertainment applications. Results are returned via a simple API response, enabling developers to integrate sound awareness into products without building their own audio‑ML pipeline.
Target Audience
Primary customers are product developers and technology teams in smart‑home, security, automotive, healthcare, and entertainment sectors that need reliable, real‑time sound detection without investing in specialized audio AI expertise.
Features
- Cloud API for real‑time or batch sound classification supporting multiple audio formats
- Edge SDK that processes audio on‑device, preserving privacy and reducing latency
- Fully deep‑learning based models with no handcrafted rules, delivering high accuracy and robustness
- Generalized performance across microphones and environments, eliminating hardware dependencies
- Scalable pay‑as‑you‑go pricing with per‑minute billing and a free 20‑minute trial
- Comprehensive documentation and SDKs for rapid integration into existing systems