univs.ai valid
UniverseAI (UNIVERSE AI INC.)
Biometric authentication installed on the customer's own servers. Face and palm
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://univs.ai/llms.txt
- llms-full.txt
- https://univs.ai/llms-full.txt
- Sections
- 6
- Links
- 16
- Size
- 5085 bytes
- Country
- South Korea Site-published organization address
- Publisher address country
- South Korea Site-published organization address; location is not independently verified
- Country evidence
- KR · Site-published organization address 2026-10-26
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:57:42.610Z
- Last checked
- 2026-10-25T18:57:43.837Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:57:42.615Z. Cached copy · Source on univs.ai
# UniverseAI (UNIVERSE AI INC.)
> Biometric authentication installed on the customer's own servers. Face and palm
> engines run inside GATE, and GATE runs in smart cities, campuses and payments.
> Seoul, Republic of Korea. Contact: team@univs.ai
> Full text for retrieval: https://univs.ai/llms-full.txt
## Key facts
- Deployment: installed on the customer's own servers (on-premises). Cloud and container environments are also supported; the customer decides which.
- Data handling: under an on-premises configuration, biometric data does not leave the customer environment. What is stored is feature data for matching, not the original photograph.
- Engines: face and palm authentication engines are developed in-house. Recognition, liveness, indexing and compression are all built by the company.
- Modes: 1:N matching (who is this person within an enrolled population) and 1:1 verification (does this person own this account) run inside the same server.
- Liveness: RGB passive liveness. It runs on ordinary colour cameras with no infrared hardware, and the user does not have to blink or turn their head.
- Integration: site systems call one documented REST API. Integration work is carried out by the customer or their SI partner, working from the specification.
- Scope boundary: the returned value is the identity result. Opening a door, approving a payment and updating a member record are done by the customer's systems.
- Accuracy: 99.97% under KISA certification testing, measured under accredited test conditions. Field numbers move with camera specification, lighting and enrolment image quality.
- Scale: 400M+ face database, 1:N search response under one second on the server side.
- Video products: VCA and AI BOX connect over ONVIF and RTSP, so camera brand does not matter and cameras are not replaced. An existing VMS is kept in place and runs alongside.
- Edge compression: AI BOX reduces footage by about 85% beside the camera, covers 4 channels per box, and needs no central GPU server.
- Certifications: KISA face recognition accuracy testing, iBeta liveness presentation-attack testing, GS (Good Software) Grade 1 for 'UNIVS AI Guard', ISO 9001 and ISO 14001, and public procurement registration in Korea.
- Track record: 20 deployments across 5 countries.
- Terminals: GATE is authentication software, not a terminal. A separate product line (POS) covers the device itself; EMV and PCI PTS certification for it is planned.
## Products
- [GATE](https://univs.ai/en/gate): Biometric authentication platform installed on your servers (1:N matching, 1:1 verification, liveness, REST API).
- [VCA](https://univs.ai/en/vca): Forensic video search and analytics that attaches to the CCTV already installed, no camera replacement.
- [AI BOX](https://univs.ai/en/aibox): Edge appliance that compresses footage about 85% beside the camera and builds a face index while it does.
- [POS](https://univs.ai/en/pos): Face and palm payment terminal for stores, canteens and unmanned co
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