Skip to main content

Deeply

Category: AI in Manufacturing

AI-powered sound analysis solutions for real-time monitoring across manufacturing, industrial safety, and security environments Deeply was founded in 2017. The company is led by 이수지 (Suji Lee). Based in Seoul, South Korea. Team size: 11-50. Total funding raised: $266K. Latest round: Seed. Key investors include 뉴플라이트 (New Flight).

AMW Analysis

Deeply develops Listen AI, an acoustic inspection platform that detects defects, anomalies, and safety events through sound analysis, targeting manufacturing, industrial safety, and security environments. The company, based in Seoul and founded in 2017, had previously raised $266K in seed funding from New Flight. Recent news shows a significant funding increase: Deeply raised approximately $1.8M (2.5 billion won) in a round led by Devsisters Ventures, with participation from Sooin Investment Capital and Nautilus Investment. This capital is intended to support global expansion of its industrial acoustic AI solution. Additionally, Deeply had two papers accepted at IEEE ICASSP 2026, marking its third consecutive year of recognition at that conference. One paper proposes a method for selecting acoustic features relevant to manufacturing and public safety applications. The combination of new funding and sustained academic validation suggests the company is deepening its technical foundation while scaling commercially.

AMW analysis, generated from 3 tracked news signals.

Founded
2017
Headquarters
Seoul, South Korea
Team size
11-50
Total funding
$266K

Value proposition

AI-powered acoustic inspection that detects defects, anomalies, and safety events through sound analysis with 99.78% accuracy

Products and solutions

Listen AI Industrial (quality inspection), Listen AI Safety (public safety/scream/scream detection), Listen AI for predictive maintenance

Unique value

World's largest non-verbal sound dataset (13.9TB) + 8 years of industrial acoustic AI R&D + 99.78% accuracy + ICASSP 3 years consecutive paper acceptance

Target customer

Manufacturing plants (automotive, semiconductor, home appliance), public safety facilities, construction companies, smart city operators

Industries served

Manufacturing, Public Safety, Smart Cities, Construction, Transportation

Technology advantage

Transformer-based deep learning sound analysis; FUN-SSL real-time sound source localization; data-efficient training for low-data industrial environments; U-Net architecture for efficient computation

How they differentiate

8 years of dedicated acoustic AI R&D with largest non-verbal sound dataset (13.9TB); ICASSP 3-year consecutive paper acceptance; proven industrial deployments in automotive/mexico plants; 99.78% accuracy in real industrial environments

Main competitors

옐로시스 (Yellosis); 소서릭스코리아 (Sothorix Korea); 노이즈엑스 (Noise X)

Key partnerships

New Flight (investor/accelerator); NIPA (Singapore AI exchange); HTX Singapore; CES 2025; Intersec Dubai; Automate 2026 Chicago; Evantek (MOU signed at MTX Singapore 2026)

Notable customers

강원랜드 (Kangwon Land); 한화비전 (Hanwha Vision); 롯데건설 (Lotte E&C); DL이앤씨 (DL E&C); 인천 테크노파크 (Incheon Techno Park); Global automotive motor manufacturer; Domestic automotive manufacturer (Mexico plant)

Major milestones

2017: Company founded; 2018: Seed funding from New Flight (₩3억); 2024-2026: ICASSP papers 3 consecutive years; 2025: CES 2025 participation; 2026: ICASSP 2026 Barcelona (2 papers); Automate 2026 Chicago planned; Singapore HTX program selection; 2026: MOU with Evantek at MTX Singapore; AI EXPO KOREA 2026 participation

Growth metrics

Revenue: ₩10.7억 (~$8M) in 2025; Team: 16 employees (March 2026); 7 patents

Market positioning

Leading South Korean acoustic AI startup focused on industrial quality control and public safety, expanding globally

Geographic focus

South Korea (domestic), expanding to Singapore, Middle East (Dubai), US (Chicago), Mexico

Patents and IP

7 patents (as of 2025)

About 이수지 (Suji Lee)

Ex-Ybrain; Master in Brain Cognitive Science @ Seoul National University (2012-2014

Latest news about Deeply

More AI in Manufacturing companies

Official website: