An AI company that understands
physical space and improves operations.
- Machine learning · Deep learning
- Computer vision
- Anonymization · Privacy
- Space · Retail domain
- 14,370,228
- Cumulative video hours analyzed
August 2026 · 100+ customer spaces · 1,700+ connected cameras
Reinvent Offline
Help every spacefulfil its purpose.
Online is measured down to every click and improves every day. Offline spaces have cameras, yet the reasons behind operations remain hard to see.
Inefficiency in a space begins with what cannot be seen.
We turn movement into anonymized signals and help operators choose the next action.
First, read what is happening in the space.
Perfect Every Space
Every space,made perfect.
To perfect a space is to let it achieve what it exists for.
Can a store satisfy both the seller and the buyer?
Is today's showroom really the best it gets?
We make a space whole, all the way through.
So we built a company that digs deep into data.
The people who have done that, since 2018.
DEEPINGSOURCE
A promise to read one layer deeper into the data that drives everything.
People who know AI and space build products for the field.
SAAI is that promise, made real.
SpatialAnonymizedAgenticIntelligence
We stand between space and people. A better space, a better life. That is the promise SAAI makes.
S
Spatial
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Anonymized
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Agentic
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Intelligence
Explore the related page- Sense
- Analyze
- Think
- ActPeople · robots · machines
- Verify & Learn
History
From anonymization to the physical world
Since 2018, we have erased identity at capture and kept only the signals analysis needs. Those signals now support space operations.
Founded · Starting From Anonymization
2018AI needs data. We started from the conviction that such data must be anonymized first.
Spatial AI in Earnest
2020We turned to retail, the space where anonymized data is needed beyond AI training.
Edge Processing
2021We made movement data processable on edge devices.
Business Growth · Action Recognition
2022Alongside full-scale expansion, we adopted Action Recognition, reading behavior beyond movement.
Introducing Agentic AI
2023Providing data alone was often not enough for customers. We began adopting Agentic AI to make spatial expansion easier.
Store Care · Now saai care
2024Beyond spaces and people, we built Store Care around the objects inside a space.
Beyond Retail · Physical AI and Industrial Spaces
2025SAAI began expanding beyond retail into physical AI and industrial spaces.
People
The people remaking space
Roots in anonymization · global business · engineering execution.
Pete Tae-Hoon Kim
CEO & Founder, Ph.D
Vision · strategy · overall business
Co-founded and served as CTO of the image-recognition startup Olaworks, acquired by Intel, then worked as a senior engineer at Intel before co-founding DEEPINGSOURCE in 2018. He steers the direction of spatial AI built on anonymization.
Sangho Kum
Chief Business Officer (CBO)
Business strategy · global partnerships
Led B2B business strategy, sales, and new ventures at SK Broadband for 26 years, scaling a cloud CCTV service to ₩10B in annual revenue within four years. He drives DEEPINGSOURCE’s domestic and global expansion.
Bongkyung Ko
VP of Engineering
Heads engineering · platform delivery
M.S. in Software from Seoul National University. Built large-scale platform engineering experience across Golfzon and SAP; now leads engineering and the delivery of the spatial AI platform.
Operating record
Results built in the field
In use across 7 industries.
Analysis grows with incoming video
As of August 202660+
Customer sites
As of August 2026
14M hours of space read, and counting. More than 14,000,000 hours.
Video hours analyzed
Operating hours
150,000
People analyzed today
Estimated from operating volume
240,000
Actions analyzed today
Estimated from operating volume
Customer spaces
Awards & credentials
- 103Patents · 66 registered · 37 pending
- 8Partner brands
- SOC 2 · PIPASecurity controls certification · PIPA compliance (2024)
- NextRise 2024‘Top Innovator’ award
- NVIDIA Inception PartnerGlobal AI startup program
Where it comes together
* Based on cumulative hours of operation across connected cameras. The figure on screen extrapolates at 1,073 hours per hour.
* Figures above are simulated, not measured. Assumptions: 19.8 sqm per camera · 66 sqm per convenience store · 300 daily visitors per store · 92s average dwell · 1 pickup per minute
* Partner and patent counts are company figures (as of 2026). Compliance per Korea PIPA.
Together
Beyond the data center, we change the spaces where people, objects, and machines move.
From adoption inquiries to partnership proposals, reach out anytime. We reply within 1–2 business days.
This approach runs in stores as three products. See the products →
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