Ayonix Video Analytics

Company

The record, and where every claim came from

In short

Ayonix is an enterprise AI company founded in Tokyo, Japan in 2007 by Dr Sadi Vural. This page carries the company record as Ayonix states it, and the register that governs what this site is permitted to claim — including the claims it is not permitted to make.

Company record

Facts as Ayonix states them

Ayonix company facts with sources
Field Value Verified
Company name Ayonix
Legal name Ayonix Co., Ltd. (as stated by the company)
Also known as Ayonix AI
Founded 2007, Tokyo, Japan
Founder Dr Sadi Vural, Founder and Chief Executive Officer
Headquarters 1-10-7-508 Higashi Gotanda, Shinagawa-ku, Tokyo 141-0022, Japan
Regional presence Japan (headquarters); Australia; United States
Industry Biometrics, computer vision, enterprise AI
Contact infojp@ayonix.com

Source: ayonix.com/company/facts , which Ayonix maintains as its canonical public record. These are first-party statements by the company rather than values read from a corporate registry.

Product lines

What Ayonix makes

Video analytics

People counting, dwell, perimeter and heatmap analysis that turns camera video into operational context.

Face recognition

1:1 verification, 1:N identification, watchlist matching and face tracking, for access control, gates and live camera environments.

ATLAS BOX and ATLAS AIBOX

Edge hardware that runs recognition and analytics inside the physical environment rather than in a cloud region.

ATLAS AI agents

Role-scoped enterprise agents for executive, marketing, sales and consulting work.

This site covers video analytics. Face recognition is a separate Ayonix product line with materially different privacy and governance requirements, and is not part of a video analytics deployment unless specified separately.

Claims register

What this site is permitted to claim

A statement may only appear in published copy if it is registered with an evidence source and an approval status. The production build fails if banned phrasing reaches the output.

Approved claims

Ayonix is an enterprise AI company founded in Tokyo in 2007 by Dr Sadi Vural.
Evidence
first-party
Verified
2026-09-11
Ayonix systems are built to run on-premise, at the edge, or fully air-gapped, in addition to conventional server deployment.
Evidence
first-party
Verified
2026-09-11
Ayonix operates from Tokyo with regional presence in Australia and the United States.
Evidence
first-party
Verified
2026-09-11
Ayonix face recognition algorithms have been submitted to NIST face recognition evaluations, where results are published openly by NIST.
Evidence
first-party
Verified
2026-09-11

Submission to an evaluation is not certification. The words "NIST certified" and "NIST approved" are banned site-wide. This claim concerns face recognition, not video analytics, and is only used on /company for corporate context.

Ayonix video analytics covers people counting, vehicle detection, perimeter intrusion, restricted zones, dwell time, heatmaps and aggregate demographic estimation.
Evidence
first-party
Verified
2026-09-11
Age and gender-related outputs are estimates from appearance, not verified identity or self-identified gender.
Evidence
first-party
Verified
2026-09-11

Mandatory wherever demographic or audience estimation is described.

Ayonix people counting counts movement across a virtual line and compares directional entry and exit flow over time.
Evidence
first-party
Verified
2026-09-11
Ayonix video analytics is designed to add an analytics layer to an existing camera and VMS estate rather than requiring replacement cameras.
Evidence
derived
Verified
2026-09-11

Derived from the published VMS-integration positioning ("Keep the VMS your team knows. Add analytics that make every camera view more useful."). Camera suitability is still site-specific and every page that carries this claim must also carry camera-requirement guidance.

Ayonix publishes integration paths for Network Optix Nx Witness, Milestone XProtect and Genetec Omnicast, and asks customers to confirm plugin availability, supported VMS versions and licensing for their environment.
Evidence
first-party
Verified
2026-09-11

The parent site presents these as "Discuss the plugin" routes with an explicit confirmation caveat. Certification, marketplace listing and production-validated status must NOT be claimed for any VMS on this site until Ayonix supplies evidence.

ATLAS BOX and ATLAS AIBOX are Ayonix edge hardware that run recognition and analytics inside the physical environment rather than in a cloud region.
Evidence
first-party
Verified
2026-09-11

No processor, memory, storage, power, throughput, channel-count or environmental specification is approved. Any such figure must be supplied by Ayonix engineering before publication.

Claims this site does not make

These are registered specifically so the build can detect them if they ever appear in copy. They are withheld because no evidence was located, or because the claim is not one that video analytics can honestly support.

Ayonix serves customers in more than 50 countries.

Requires Ayonix approval

Stated on the ayonix.com homepage but not on the canonical company-facts record, and not broken down by product. Not carried on this site until Ayonix confirms the figure and whether it covers video analytics specifically.

Specific ATLAS AIBOX hardware specifications (CPU, accelerator, channels, power, throughput).

Requires Ayonix approval

No public specification sheet was located. The deployment page describes sizing inputs only.

Named customer deployments, logos, results or testimonials.

Requires Ayonix approval

ayonix.com/case-studies presents unnamed sector stories. This site publishes anonymised, clearly-labelled deployment patterns instead, and names no customer.

Any numeric detection accuracy, recall, precision or false-alarm rate for Ayonix video analytics.

Will not be published

Detection performance is scene-specific. This site publishes a measurement method and pilot acceptance framework instead of headline numbers, and states that figures come from the customer’s own site validation.

Held back

18 capabilities written but not published

Pages for 18 further analytics exist in this site’s repository, fully written and schema-validated. None of them appears on this site, in its navigation, its sitemaps, its structured data or its agent tools, because no Ayonix source was located naming them as a current capability.

  • Loitering detection
  • Abandoned object detection
  • Removed object detection
  • Crowd formation detection
  • Wrong-way detection
  • Stopped vehicle detection
  • Forensic video search
  • Multi-camera tracking
  • Vehicle classification
  • Repeat visitor analytics
  • Fire and smoke early visual warning
  • PPE compliance detection
  • Fall detection
  • Forklift and pedestrian safety
  • Unsafe zone entry
  • Emergency exit monitoring
  • Worker presence monitoring
  • Vehicle and pedestrian conflict

Each becomes publishable the moment Ayonix confirms it for commercial delivery and the evidence is recorded in the claims register. Listing them before that would ask a buyer to take on trust the one thing they cannot check.

Author
Gabriel Bamola, Chief Marketing Officer, Ayonix
Technical review
Dr Sadi Vural, Founder and Chief Executive Officer, Ayonix
Published
Last reviewed

Ask about something not on this site

If a capability you need is not published here, that does not necessarily mean Ayonix cannot deliver it — only that we have not evidenced it well enough to publish. Describe what you need and you will get a straight answer.