Technology · MGT

MGT, Aive’s proprietary multimodal technology.

MGT (Multimodal Generative Technology) combines 25 models to turn video into structured data for scoring, versioning and distribution. The Playbook sets the rules; MGT structures the master; Aive Studio and Aive GEO help your teams analyse, adapt, optimise and activate the versions they keep the final say on.

Technology overview Outputs, modalities and performance shown match the enabled module, the analysed corpus and verifiable product proof.
Last verified · 26 September 2026

What is MGT?

MGT (Multimodal Generative Technology) is Aive’s proprietary multimodal technology: it combines 25 models. It structures a video master for Aive’s documented uses: scoring, versioning and distribution. It comes after the Playbook, which sets brand rules, formats, markets and approvals, and before the Aive Studio and Video GEO modules, which surface analyses and versions. The outputs available depend on the enabled module and the analysed corpus.

Master
The source video, with its title, language, owner, date and rights.
Playbook
The set of rules applied before any generation: brand, formats, markets, approvers.
Aive Studio and Video GEO
The modules that surface the analyses, versions, scores and outputs produced from the master.
MGT value chain

Thirty-eight seconds, from master to decision log.

The animation can be paused, stepped through and read without playing: every step has its own text and safeguard.

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.)
Reading the chart

No arrow bypasses human decision.

Videos and rightsPlaybookMGTAive StudioVideo GEOMedia FactoryMeasurement railsNext version

Videos come in with their context and rights; the Playbook applies the rules; MGT structures the master; results, measured on separate rails, feed the next version once your team has decided.

Architecture · 1 to 4

From master to structured proof.

Playbook

Goals, brand rules, markets, formats, rights and approval, set before production.

MGT

25 combined models that structure the master for Aive’s documented uses.

Aive Studio

Analyses, versions, Creative Score and outputs, visible module by module.

See Aive Studio

Video GEO

Moment, proof, article, structured data, internal linking and observation, all linked.

Discover Video GEO
Inputs and outputs

What goes in, what comes out.

01Inputs
  • Video master
  • Context: title, language, date
  • Owner and rights
  • Playbook rules
02Processing
  • Master structured by MGT
  • Analyses enabled per module
  • Versions built per channel
  • Human approval
03Outputs
  • Versions and formats
  • Available scores
  • Timestamped moments when available
  • Approved destinations
Security & trust

Enterprise-grade security and compliance

SOC 2 Type IIGDPRISO 27001 in progressNo training on your data

Secure by design: customer data is never used to train models, and intellectual property remains fully with the customer. SOC 2 Type II · GDPR · encryption in transit and at rest · access controls · logs. ISO 27001 in progress.

What MGT does not claim to do.

  • MGT promises no citation, ranking or traffic: it structures the master for Aive’s documented uses.
  • An unanalysed modality or missing timecode is flagged as such, never filled in with an estimate.
  • Capabilities shown depend on the enabled module, the corpus and the plan; they are not general.
  • No version is published without approval: no implicit automatic publishing.
  • Results per channel are not added up: citation ≠ click; referral ≠ causality.
Frequently asked questions

Questions about MGT.

Does MGT analyse every modality in a video?

The modalities analysed depend on the enabled module and the corpus. When a modality is not analysed or a timecode is not available, the interface says so clearly.

What is the difference between MGT, Aive Studio and Video GEO?

MGT structures the master. Aive Studio and Video GEO surface, for your teams, the analyses, versions, scores and outputs resulting from that structuring.

Is my content used to train models?

No. We never use our business customers’ data to train our models. Details by product are on the Security and trust page.

Can a version be published without approval?

The Aive workflow requires a person to approve a version and its destination. AI prepares; your team decides.

See MGT on your own videos.

A demo on a sample of your videos, scoped on your use case.