Use case · Aive Studio

See your video as AI sees it.

Faces, objects, emotions, tones, micro-moments: AI Discovery reveals what your video contains and turns it into creative angles.

Last verified · 6 October 2026
What you gain

Three gains, one use case.

Angles the eye can’t spot

What no team can see at scale.

Briefs built on evidence

Not on hunches.

What MGT reads in your videos

The public demo of the Aive core.

How it works

Three steps, one flow.

  1. 01

    Import

    One video, or a catalog.

  2. 02

    Discover

    Deep analysis: exactly what the platform detects.

  3. 03

    Create

    Pick your angle, then produce.

Powered by Illustration, demo data
MGT in 38 seconds

What the platform reads, step by step.

MGT combines 25 models to link what is seen, said and shown. Pause the animation and step through it.

MGT value chain · 38 s
0–3 s

A source asset, in its context.

A video master comes in with title, language, owner, date and rights.

Animation transcript
  1. 0–3 s · Master. A video master comes in with title, language, owner, date and rights. A source asset, in its context. (An identified asset, with its rights.)
  2. 3–7 s · Playbook. The Playbook overlays format, market, brand rule and approver. Rules come before scale. (Governance before generation.)
  3. 7–12 s · MGT. MGT turns the master into cards: versions, formats, available scores and destinations. MGT structures the master. (Scoring, versioning, distribution and GEO.)
  4. 12–16 s · Moment. Zoom on a moment and its timecode when available. Proof stays linked to the source. (Missing or unanalysed modalities are clearly flagged.)
  5. 16–21 s · Versions. Three versions are built for three channels. One idea, many contexts. (Every version carries its status.)
  6. 21–25 s · Approval. A person approves a version and its destination. AI prepares. Your team decides. (No implicit automatic publishing.)
  7. 25–31 s · AI answer. An observed AI answer opens with URL or domain, question, date and coverage. Read the context, not just a score. (A protocol signal, not a visibility guarantee.)
  8. 31–35 s · Distribution. Social, GEO, Referral, Engagement and Conversion rails stay separate. Every result keeps its level of proof. (Citation ≠ click; referral ≠ causality.)
  9. 35–38 s · Log. Back to the Playbook and the decision log. Your content speaks for you. You stay in control. (A governed, reviewable loop.)
Frequently asked questions
Do we need to reshoot?

No. Aive starts from your existing masters: nothing needs to be reshot to get started.

Is our content used to train models?

Never. We never use our business customers’ data to train our models. The Aive Studio Enterprise offer strictly governs how that data is used and can provide physically separate infrastructure at the customer’s request.

How do we start?

With a paid Studio pilot on your own content, scoped on one use case and deducted from your annual plan.

Your use case, on your own masters.

A live walkthrough on your stakes, then a paid Studio pilot scoped on one use case and deducted from your annual plan.