Kaohsiung-born since 2015. Building AI that organisations can verify.

Pilot projectsAI video triage · Recorded-footage review

AMAS AI Video Governance PlatformStop scrubbing through hours of footage.Start with what matters.

AI ranks what to review; your team makes the call. "Not yet reviewed" is never confused with "reviewed, nothing found" — and every view, review and export is logged.

Works on recorded video, not live alerts. Every final call is made by a person against the original footage.

RECORDED FOOTAGE12:13–13:19REVIEW DENSITY12308:0010:0012:0014:0016:0018:00REVIEW QUEUE112:13–13:19Please review209:53–10:30Reviewed315:21–15:58Not yet viewed
  • First passAI ranks; it does not judge
  • Every flag reviewedA person agrees or disagrees
  • Two ledgersUnreviewed ≠ all clear
  • Tamper-evidentViews, reviews, exports logged

01 — The problem

Footage keeps piling up. People can only spot-check.

For public agencies and their contractors who must review large volumes of recorded video — and want AI to share the load without taking over accountability.

  1. 01

    More footage than people

    Cameras record all day; reviewers can only sample a fraction of it.

  2. 02

    AI without handing over judgement

    Public bodies need a clear line of accountability: AI can rank, but people must write the conclusion.

  3. 03

    Results that can't withstand scrutiny

    "Zero findings" cannot tell "all clear" apart from "never checked".

02 — Capabilities

From intake to delivery, a person owns every step.

The platform does the first pass only. It flags time ranges worth a look — never a verdict, and never grounds for a penalty on its own.

Cases and video intake

Each case holds multiple videos, with unit, camera and retention set at creation. Source folders can be read in place, without copying.

Review workspace

Video, a density timeline and each finding side by side. Every flag needs a person to agree or disagree, and edits never overwrite the original reading.

Delivery with a quality gate

What you preview is what you deliver. Formal delivery is blocked while any item is unreviewed; exports carry a watermark, disclaimer and audit record.

Childcare camera-setup check

Checks camera footage against childcare CCTV regulations item by item, and clearly marks what cannot be measured or is not the system's call.

Video privacy governance

Per-case retention with a 30-day floor, legal hold, cell-level permission changes with a required reason, and every view logged.

Built-in knowledge base

Regulations, policies and reviewer experience pass a staged intake with a mandatory human gate. Review conclusions can become reusable knowledge, and search shows which sources were checked.

03 — How it works

AI sorts first. People decide last.

  1. 01

    Create a case

    Add videos or scan a source folder.

  2. 02

    AI first pass

    Sampled frames analysed, events graded by duration, time ranges flagged.

  3. 03

    Human review

    Reviewers agree or disagree with each flag and record why.

  4. 04

    Deliver and retain

    Export once the quality gate passes; conclusions become knowledge for the next reviewer.

04 — Governance & trust

Accountability stays with people. The record stays in the system.

Video is highly sensitive personal data. The platform records who saw what and who decided what, so the work can withstand scrutiny later.

  • Flags, not verdicts

    The output is a list of ranges to review; whether anything happened is decided by a person against the original footage.

  • Tamper-evident audit trail

    Views, reviews, permission changes and exports are recorded, and later alteration can be detected.

  • Retention and legal hold

    Retention is set for each case at creation, with legal hold when needed.

  • Deployment options

    Inference can run on local GPUs or domestic cloud compute. In on-site engagements we keep no copy of the video, and extracted frames are deleted after processing.

05 — Where it stands

Current statusPilot projects

Delivered as projects, one application at a time.

The platform is deployed in production and can be demonstrated, and it has completed first-phase on-site review in one public-sector project. Only the childcare review application is live today; the others are labelled below.

There is no self-service trial. Every engagement starts with an assessment of your video sources, storage and review staffing.

  1. DonePhase 1: on-site reviewWe bring the equipment, read the source video and keep no copy.
  2. NowPilot projects · demo available
  3. PlannedPhase 2: appliance deliveryPlatform and inference installed in your server room; you decide what is kept and deleted.

Review applications

Shown with the same three statuses the platform itself displays.

  • Live
    Childcare video reviewFlags time ranges in childcare-centre recordings and prompts reviewers to check the original footage.
  • Capability proven · not on platform
    PPE workplace-safety reviewProduct line on hold.
  • Planned
    Labour inspection footage
  • Planned
    Personal safety
  • Planned
    Drone patrol
  • Planned
    Traffic footage

Next step

Start from your review workflow.

Delivered as a project: we start from your site and footage sources, then assess which triage application and review flow fit.