S2VE

S2VE — Speech 2 Video Engine

Save expertise.
Scale video.

Your best knowledge lives in a handful of people and a folder of documents. S2VE captures it once, governs it properly, and produces commercial-grade video from it — repeatedly, in every language and format your business already ships to.

Intake to first cut
Days, not quarters
Approved claims
100% traceable
Consent records
Enforced pre-render
Generation models
Interchangeable

Why it exists

Video is the fastest way to transfer expertise, and the slowest thing most companies produce.

Agencies are expensive and slow. Generic AI video tools are fast and unaccountable. S2VE is built for the middle: the commercial teams who need volume and speed, but cannot ship a claim nobody approved or a face nobody consented to.

Capture expertise once

A structured intake records what your best engineer, trainer or seller actually knows — spoken, written or uploaded — and turns it into a reusable knowledge asset.

Govern before you generate

Claims, consent records and brand rules are resolved before a single frame is rendered. Nothing enters production without an owner and an approval trail.

Produce like a studio

Script, shotlist, presenter, voice, motion and edit are handled by orchestrated agents inside one production pipeline, not by stitching six tools together.

Ship to the channels you already use

Localised cuts, aspect ratios, captions and versioned exports flow into your LMS, CMS, CRM and support portal with a change log attached.

The production pipeline

Eight stages, one accountable chain

Every asset moves through the same governed path. Each stage has an owner, an input contract and an exit condition — which is what makes the output repeatable rather than lucky.

  1. Step 01

    Intake

    Interview an expert, upload documents, or import an existing SOP. Coverage gaps are flagged before scripting starts.

  2. Step 02

    Knowledge extraction

    Claims are separated from context, each one linked to its source and given a required evidence level.

  3. Step 03

    Script and shotlist

    The script is drafted against approved claims only, then broken into scenes with visual intent, duration and asset needs.

  4. Step 04

    Presenter and voice

    Consented digital presenters or real footage. Every likeness and voice carries a signed consent record with scope and expiry.

  5. Step 05

    Generation and assembly

    Model-agnostic generation for motion, b-roll and graphics, assembled against the shotlist with deterministic timing.

  6. Step 06

    QA gates

    Automated checks for factual drift, brand rules, safety, accessibility and technical delivery specs — with named human sign-off.

  7. Step 07

    Localisation

    Translated scripts re-enter the claim check, so a localised claim is never weaker or stronger than the approved original.

  8. Step 08

    Distribution and change log

    Versioned publish to LMS, CMS, CRM or portal, with a diff of what changed and why.

Where teams start

Three commercial entry points

Common questions

Straight answers

Governance questions decide whether AI video ever leaves the pilot stage. We answer them first, not last.

Does S2VE replace real footage?

No. Where accuracy matters — safety steps, physical installation, real product behaviour — S2VE plans for real footage and treats generated material as supporting content. The pipeline tells you which shots must be captured, not the other way round.

Which generation models do you use?

S2VE is model-agnostic by design. Generation is one interchangeable stage in a governed pipeline, so models can be swapped or run side by side without changing your workflows, approvals or archive.

How is consent handled?

Consent is a first-class record: who, what likeness or voice, which scope, which markets, which expiry. Production is blocked when a record is missing, out of scope or expired.

What happens when a product changes?

Claims are versioned. When a claim changes, every asset that used it is flagged, a re-cut scope is proposed, and republished versions carry a change log.

Who signs off?

Named humans. Automated gates prepare the evidence; a reviewer with the right role accepts or rejects each gate, and that signature is stored with the asset.

Get started

Bring one expert. Leave with a video system.

Start a workflow with a single subject-matter expert and a real business topic. You'll see the intake, the claim ledger, the shotlist and the QA gates on your own content.