🦊/Companies

Cochl

Irvine, US · Founded 2022 · Delaware corporation · 2 known investors

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Magnus Bergmanunlockedknows Bernard Slede · together at BootstrapLabs (overlapped)
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Cochl develops Sound AI technology that enables machines to recognize and interpret sounds from the physical world, offering it through cloud, edge, and anomaly detection products. Its listening intelligence tools serve applications such as security and autonomous systems.

Also known as Cochl Inc.

Founders & leadership

Cochl was founded in 2022 by Yoonchang Han, Donmoon Lee, Il-young Jeong, and Hyungui Lim.

YHYoonchang Han
Yoonchang HaninCo-founder & CEOYoonchang Han is a machine listening researcher with expertise in deep learning for audio signal processing, holding a MEng from Queen Mary University of London and a PhD from Seoul National University. He co-founded and leads Cochl, which develops sound recognition technology for security and autonomous systems.
DLDonmoon Lee
Donmoon LeeinCo-founder & Research Scientist
IJIl-young Jeong
Il-young JeonginCo-founder & Research Scientist
HL
Hyungui LimCo-founder & Research Engineer
HJ
Hyuk JangSecretary
SLSubin Lee
Subin LeeinCo-Founder & COO
BS
Bernard SledeinChief Business OfficerBernard Slede held go-to-market and strategic partnership roles at Fortune 500 companies including Intel, Vonage, and Dolby, as well as at technology startups with two exits; he has experience scaling B2B revenue pipelines, establishing enterprise partnerships, and holds board positions at financial institutions.

Investors · 2

Reported raises · per SEC filings

Form D private placements

$5M disclosed across 1 round · 2023

$5MraisedAug 2023 · 1 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Hyuk JangExecutive Officer
  • Yoonchang HanExecutive Officer
  • Subin LeeExecutive Officer
Offering amount
$5M
Amount sold
$5M
Minimum investment
$400K
First sale
Feb 2023
Incorporated
Corporation, Delaware, 2022
Federal exemptions
06b
Full filing on SEC EDGAR ↗

Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.

Company profile

researched Aug 2026

Cochl develops Sound AI, or machine listening, technology that allows machines and connected devices to detect and interpret non-speech acoustic events in the physical world. Its main product, Cochl.Sense, is a sound recognition platform that analyzes audio files or live audio streams and returns identification results in real time. The system recognizes more than 100 sound types — examples cited by the company include gunshots, screams, knocking, glass breaking, baby crying, fire and smoke alarms, coughing, dog barking and doorbells — and can be trained on custom sounds for specific use cases. Additional capabilities include speaker identification, custom sound detection and speech recognition, spanning speech, music, mechanical noise and environmental sounds.

A second product line, Cochl.Sense Anomaly Detection, identifies abnormal acoustic and vibration patterns associated with early signs of equipment failure or risk, targeting predictive maintenance and real-time monitoring of industrial machinery and vehicles. Cochl also offers custom engagements for audio-driven problems such as sonar analysis, drone detection, maintenance/repair/overhaul (MRO), music fingerprinting and speaker recognition.

The technology is delivered both as a cloud API and as an Edge SDK that runs locally so audio never leaves the device, which the company frames as providing privacy, added stability and offline operation. Cochl describes its stack as audio-first, fully deep learning-based without handcrafted rules or hybrid approaches, and hardware- and environment-agnostic, covering the lifecycle from data processing and model training through real-time deployment across cloud and edge.

Business model

Cochl sells access to its sound recognition platform as a developer-facing service, offering a cloud API and an on-device Edge SDK that customers integrate into microphone-equipped products. Plans range from a free tier (20 minutes of analysis, viewer-only organization role, ticketed support) through a pay-as-you-go standard plan at $0.012 per minute billed monthly, to an enterprise tier with custom API/SDK pricing under a B2B contract, Edge SDK access with a 14-day trial, custom target sound selection, new sound category requests and 24/7 priority support. The company also takes on custom projects in areas such as sonar analysis, drone detection, MRO, music fingerprinting and speaker recognition.

Usage-based subscription pricing for the cloud API (free tier; standard tier at $0.012 per minute of analyzed audio, billed monthly and rounded to 15-second increments) plus custom-priced enterprise contracts covering Edge SDK licensing and bespoke sound categories.

Traction

Publicly stated indicators include recognition of over 100 sound types in Cochl.Sense, a 93% F1-score measured by IEEE in real-world conditions, and two consecutive wins in the IEEE DCASE Challenge.

Full profile — market position, technology, go-to-market, geography, history

Market position

Cochl presents itself as a sound AI specialist focused on real-world acoustic event understanding rather than speech transcription, citing recognition in international benchmarks including two consecutive IEEE DCASE Challenge wins as evidence of its research standing.

Cochl positions its technology as machine listening that goes beyond speech recognition, built end-to-end in-house on proprietary audio and machine learning research rather than handcrafted rules or hybrid methods. It emphasizes generalization across microphones and acoustic environments without specialized hardware or manual tuning, deployment flexibility across cloud APIs and edge SDKs, and a research pedigree evidenced by two consecutive wins in the IEEE DCASE Challenge and a 93% F1-score accuracy figure evaluated by IEEE in a real-world environment. It also frames its service as an alternative to customers building their own in-house audio machine learning research teams.

Technology

Cochl's platform is built entirely on deep learning combined with signal processing, designed audio-first to treat sound as the primary signal across speech, music, mechanical noise and environmental acoustic events. The company describes a unified end-to-end architecture spanning data processing, model training and real-time deployment, engineered for generalization and robustness so it runs consistently across different devices, microphones and recording environments without specialized equipment or manual tuning. Models are optimized and downsized to run on resource-constrained edge hardware via an SDK, in addition to a scalable cloud API that accepts recorded files in multiple formats or live streams. Reported accuracy is a 93% F1-score evaluated by IEEE in a real-world environment.

Go-to-market

The company markets a self-service, developer-led entry point — a free trial requiring no credit card and sign-up for API access — alongside a direct enterprise sales motion for B2B contracts covering the Edge SDK, custom target sounds and priority support. Marketing is organized around named vertical industries (smart home, security, media, defense, manufacturing), supported by product documentation, an FAQ and a contact-sales channel.

Builders of microphone-equipped products and systems across smart home, security, media, defense and manufacturing — including mobile phones, IP cameras, robots and embedded devices — as well as industrial operators seeking acoustic anomaly detection and predictive maintenance for equipment and vehicles.

Geography

Cochl Inc. lists a San Francisco headquarters at 1 Brady St. #A-120, San Francisco, CA 94103, USA, and a research and development site at 41, Bongeunsa-ro 33-gil, Gangnam-gu, Seoul 06107, Korea.

History

Cochl operates as Cochl Inc., with a San Francisco headquarters at 1 Brady St. #A-120 and a research and development office in the Gangnam district of Seoul. Its leadership team is composed largely of co-founders with backgrounds in research and engineering: Yoonchang Han (Co-Founder & CEO), Subin Lee (Co-Founder & COO), Donmoon Lee (Co-founder & Research Lead), Hyungui Lim (Co-Founder & Research Engineer) and Il-Young Jeong (Co-Founder). The company positions its work as the product of years of focused research in machine listening, citing back-to-back wins in the IEEE DCASE Challenge.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Free tier allowanceJan 202620 minutes
HeadcountAug 202626
Model accuracy (F1-score, evaluated by IEEE in real-world environment)Jan 202693%
Standard plan list priceJan 2026$0.012
Supported sound types recognized by Cochl.SenseJan 2026100 sound types

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 1

launches, deals, and filings
Jan 2026
Two-time consecutive winner of the IEEE DCASE Challenge

Cochl states its research team won the IEEE DCASE Challenge, a benchmark for sound event detection and acoustic scene analysis, in two consecutive editions.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Legal entities · 1

corporate structure
CochlDelaware

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Cochl do?
Cochl builds Sound AI that lets machines recognize real-world acoustic events, delivered via cloud APIs and on-device edge SDKs.
Who founded Cochl?
Cochl was founded by Yoonchang Han, Donmoon Lee, Il-young Jeong, Hyungui Lim in 2022.
Who are Cochl's investors?
Cochl's investors include GS Futures, Kakao Ventures.
How much funding has Cochl raised?
Cochl has disclosed $5M raised across 1 round.
Where is Cochl headquartered?
Cochl is headquartered in Irvine, US.