Deepingsource
Seoul, KR Β· Founded 2018 Β· 24 employees on LinkedIn Β· 2 known investors
Deeping Source builds privacy-preserving video analytics using Vision AI, applying data anonymization to convert in-store camera footage into insights on customer behavior, foot traffic, and store performance. It serves physical, brick-and-mortar businesses such as retail stores and event venues to help optimize layouts, inventory, and customer engagement.
Also known as Deeping Source Β· DEEPING SOURCE Β· Deeping Source Inc. Β· DEEPINGSOURCE Inc.
Founders & leadership
Deepingsource was founded in 2018 by Sumin Lee.
Investors Β· 2
Company profile
researched Aug 2026DEEPING SOURCE (Deeping Source Inc.) is a Seoul-based vision-AI company that turns footage from cameras already installed in physical spaces into operational analytics without retaining identity data. Its flagship offering, SAAI (Spatial Anonymized Agentic Intelligence), removes identity at the point of capture, discards raw footage, and then analyzes the remaining behavioral signals β pass-by, entry and capture rate, path, dwell time, drop-off, gaze, item pick-up, returns, restocking, staff interaction, crowding, queueing, stockouts and anomalies. Rather than analyzing single camera frames in isolation, the system links multiple cameras using multi-target multi-camera tracking and 3D floor-plan coordinates so that a visitor's journey through a space can be reconstructed end to end. Product modules include saai care for real-time floor monitoring (including sensor inputs such as chiller temperature), saai insight for spatial analytics, and a saai agent that combines spatial signals with external context such as sales, inventory, weather and events to propose operational changes for human confirmation.
The company's second product, SEAL, packages its de-identification capability as an SDK for edge devices, on-premises servers and third-party applications. SEAL performs partial (utility-first) anonymization: faces and license plates are detected and erased while the scene features needed for AI tasks are preserved, in contrast to blur or masking, which the company states degrades model accuracy. Video is processed in RAM and not stored; the retained records are limited to floor coordinates, timestamp, a random object ID, estimated gender and age bands, a staff flag, gaze estimate and pick-up flag. SEAL is positioned for AI model development on real field data, ethical AI research, post-deployment model improvement, and long-term dataset sharing and archiving, and integrates via standard inputs such as RTSP and file or frame streams.
Corporate records list the company as founded in 2018 with headquarters in Gangnam-gu, Seoul, and 21-50 employees across engineering, sales and design functions.
Business model
The company sells software to operators of physical spaces: SAAI is deployed on customers' existing camera infrastructure to deliver spatial analytics and real-time operational monitoring, while SEAL is licensed as an SDK that other organizations embed in their own edge devices, on-premises servers and applications. Deployment begins with a consultation in which prospective customers can see anonymization and analysis results on sample footage or a sample clip before adoption.
Traction
The company reports more than 100 customer spaces and 14 million hours of footage analyzed, with named deployments at Olive Young, 7-Eleven, Don Quijote and MARUHAN. Announced expansions include a 1,000-store Seven-Eleven rollout and automated customer-type tallying at an automotive showroom. Its press page catalogs 73 items, comprising 27 press releases, 28 media mentions and 18 awards and events entries. A third-party business directory estimates annual revenue of approximately $2.5 million.
Latest developments
Recent announcements include the April 2026 unveiling of spatial agentic AI for real-time store checks, selection in July 2026 for a Ministry of Trade, Industry and Energy AI commercialization project to develop a retail store management platform, a July 2026 retail automation expansion driving a 1,000-store Seven-Eleven rollout, an August 2026 case study on automated customer-type tallying at an automotive showroom, and an August 2026 showcase of the SAAI store-operations AI at the Franchise Startup Expo at COEX.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
Positions SAAI against POS systems, foot-traffic sensors, conventional single-camera video AI, general-purpose AI, telco and transit-card data and manual counting, arguing that only its approach reads in-space behavior such as dwell, path, entry/capture rate and item pick-up while retaining no identity data. Claimed credentials include 103 patents (66 registered, 37 pending), SOC 2 security controls certification in 2024, and a 'Top Innovator' award at NextRise 2024.
The company frames its distinction as anonymization-first architecture: because identity is erased at capture and raw footage is never retained, footage can be analyzed and linked across cameras without individual opt-in or privacy exposure, and no human review is required. It contrasts SEAL's partial, utility-preserving anonymization with blur and masking, which it says lose detail and reduce model accuracy, and contrasts SAAI's space-specific structure and history with general-purpose AI that gives generic answers from aggregate numbers.
Technology
Identity removal occurs at the moment of video input, so raw footage is not stored and, per the company, anonymized data cannot be re-identified; processing happens in volatile memory. Because identity is erased first, the system can re-link the same subject across camera views using multi-target multi-camera tracking and 3D coordinates mapped onto a floor plan. SEAL's four stated design principles are Secure, Embeddable, Adaptable and Lightweight, with a lightweight runtime able to anonymize live streams in constrained environments. The company states that SEAL-processed data remains usable for vision tasks including action recognition, car detection, semantic segmentation, depth estimation, face landmark detection, person attribute recognition, pose estimation, and gender/age classification. Two public code repositories exist under the DeepingSource GitHub organization, covering noisy adversarial representation learning and medical image obfuscation for distribution.
Go-to-market
Direct enterprise sales through requested consultations and adoption trials on sample footage, supported by case studies and a steady stream of press releases and media coverage. The company also participates in industry events and government programs, including exhibiting its store-operations AI at the Franchise Startup Expo at COEX and selection for Korea's Ministry of Trade, Industry and Energy AI commercialization project. It is an NVIDIA Inception partner.
Operators of brick-and-mortar and unmanned retail spaces β convenience stores, health-and-beauty and franchise retail chains, automotive showrooms and other physical venues β plus organizations that need to de-identify video for AI training and data sharing, which consume the capability through the SEAL SDK. Named customer spaces include Olive Young, 7-Eleven, Don Quijote and MARUHAN.
Geography
Headquartered in Seoul, South Korea (Gangnam-gu; a directory lists 312 Teheran-ro, Vision Tower 14F). Customer references and press coverage are predominantly South Korean, and the company maps its anonymization approach to Korean PIPA, EU GDPR and US CCPA definitions of anonymous or de-identified data.
History
Founded in 2018, the company began with video anonymization β erasing identity as footage enters the system. In August 2021 it obtained an interpretation from Korea's Personal Information Protection Commission regarding anonymous data, and in December 2021 completed a legal opinion on its anonymization technology. Public code repositories were last updated in 2022 and 2023. It received a 'Top Innovator' award at NextRise 2024 and SOC 2 certification in 2024, and subsequently extended from de-identification into spatial analytics and agentic AI for physical spaces, unveiling spatial agentic AI for real-time store checks in April 2026 and presenting SAAI at the Franchise Startup Expo in August 2026.
Risks & controversies
The business depends on the legal treatment of anonymized video; the company cites Korea's PIPA Article 58-2, GDPR Recital 26 and the CCPA, along with a 2021 regulator interpretation and legal opinion, as the basis for its data not being personal data β a position tied to evolving privacy regulation and enforcement.
Compiled by commissioned research from 8 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 9
launches, deals, and filingsShowcased its store-operations AI, SAAI, at the Franchise Startup Expo held at COEX.
Case study announcing automation of customer-type tallying at an automotive showroom.
Announced expansion of retail automation using physical AI, driving a rollout across 1,000 Seven-Eleven stores.
Selected for Korea's Ministry of Trade, Industry and Energy AI commercialization project to develop a retail store management platform.
Announced spatial agentic AI enabling real-time checks of store conditions; reported by Yonhap News Agency.
The company lists SOC 2 security controls certification obtained in 2024.
A legal opinion covering the company's anonymization technology was completed.
The company obtained an interpretation from Korea's Personal Information Protection Commission relating to its anonymization approach and the treatment of anonymous data.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
βΈResearch sources Β· 8
primary sources listed
- Deepingsourcedeepingsource.io Β· web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Deepingsource do?
- Korean vision-AI company whose SAAI platform anonymizes CCTV footage at capture to produce spatial analytics for physical stores.
- Who founded Deepingsource?
- Deepingsource was founded by Sumin Lee in 2018.
- Who are Deepingsource's investors?
- Deepingsource's investors include Atinum Investment Co. Ltd., KDDI Open Innovation Fund.
- Where is Deepingsource headquartered?
- Deepingsource is headquartered in Seoul, KR.
