White-Label AI Video Platform: What to Evaluate, and How ACT 3 Licenses
A "white-label AI video platform" usually means one of three very different things, and buyers who do not separate them early end up in the wrong procurement conversation:
- Rebranded application access — your studio or agency uses a platform under your own branding, with your workspace isolated from everyone else's.
- Embedded generation — your product calls a video generation service programmatically and renders the output inside your own UI.
- Full platform resale — you sell the underlying platform to your own customers as your product.
ACT 3 AI serves the first case through its Enterprise tier, and arranges the second and third through custom Enterprise/API licensing negotiated per contract. There is no self-serve white-label SDK you can sign up for with a credit card, and we would rather tell you that on this page than three calls into a sales process.
What ACT 3 does bring to this conversation is unusual: a single platform that runs multiple generative video engines under one roof — Veo 3, Runway, FLUX, SDXL, ComfyUI, Hunyuan, and Wan 2.1 — behind an engine-agnostic architecture, wrapped in a full production pipeline rather than a clip API. If you are building or reselling, that means one integration instead of seven, and a model layer you are not locked to.
Why multi-model matters more than it sounds
The generative video market moves faster than any procurement cycle. Models launch, improve, reprice, and retire — OpenAI's Sora is winding down in 2026, which is a useful reminder that a single-model dependency is a business risk, not just a technical one.
ACT 3's architecture is deliberately modular:
- Multi-model generative routing intelligently selects the best engine per shot based on style and complexity.
- An adapter layer sits between shot data and render engines, covering local ComfyUI node graphs and cloud text-to-video APIs.
- Auto-selection picks the cheapest engine that meets a given quality constraint.
- Swappable back-ends, open-standard asset formats, and future-proof codecs are stated architectural goals.
- Every renderable unit is defined in machine-readable YAML, so shot definitions are portable data rather than one vendor's prompt dialect.
The practical consequence for a platform buyer: your integration targets ACT 3's structured shot model, and the question of which model renders shot 412 becomes an operational detail rather than a rewrite.
Enterprise capabilities available today
| Capability | What it provides |
|---|---|
| Multi-tenant security | Isolated workspace per company; walled-off datasets |
| SAML SSO | Optional single sign-on |
| Granular roles | Read, Modify/Edit, Run AI, Use Credits, Billing, Owner |
| Invitation-only access | Project-level access control |
| Private 3D sets | Enterprise-tier asset privacy, not shared to the community library |
| 4K output | Enterprise-tier render resolution |
| 10+ concurrent jobs | Enterprise-tier render concurrency |
| Priority support | Enterprise-tier support commitment |
| IP ownership | The Organization legally owns all projects, content, and generated assets |
| Import/export bridge | FDX, PDF, EDL, MP4/MOV, and proprietary project archives |
| Content moderation | Three-stage scanning of prompts, scripts, and finished outputs |
The Organization model is the unit of tenancy: an isolated workspace owning projects, members, subscription plan, credit pool, and payment method — structurally similar to a GitHub or Figma workspace. A single user can belong to multiple Organizations, which is how an agency separates client work.
Published pricing, and where custom licensing begins
| Plan | Price | Monthly credits | Rollover cap | Notes |
|---|---|---|---|---|
| Free | $0 | 800 | 0 | Personal use, watermarked |
| Community | $8 | 8,000 | 1,000 | No watermark |
| Standard | $35 | 33,000 | 100,000 | 3 concurrent jobs |
| Business | $175 | 180,000 | 500,000 | Commercial use, 6 jobs |
| Enterprise | Call | High volume | Unlimited | 4K video, 10+ jobs |
Enterprise and API arrangements — committed licences, embedded use, and resale — are quoted per contract. Higher-tier studio plans start above the published Business tier for agencies, film schools, and VFX shops.
Billing is credit-based and metered: every credit-consuming action displays its exact cost before you commit, a render queue shows predicted spend so teams can approve or postpone jobs, and unused credits roll into a capped rollover bank. For a platform operator, that transparency is what makes reselling capacity tractable.
What you are actually buying: a production pipeline, not a clip endpoint
This is the part that distinguishes ACT 3 from a raw generation API, and it is why the Serious Production framing matters.
Most video generation services return a clip. ACT 3 returns structured productions. It ingests scripts (or expands premises into them), builds a Show ▸ Season ▸ Episode ▸ Scene ▸ Shot hierarchy, auto-computes shot lists with cinematography metadata, composes a mega prompt per shot bundling narrative, style, camera, lighting, audio, and motion, routes each shot to an appropriate engine, and assembles approved shots into scenes and episodes with transitions and audio. Cloud rendering produces 4K ProRes masters per shot, scene, episode, or season.
It is built for real runtimes — content up to two-hour movies and full TV series — with the collaboration model that implies: full teams working in one Organization on one production, version-controlled real-time collaboration with complete change history, granular lock-down of approved pages, scenes, and shots, and all intellectual property stored in and owned by the Organization. Backend AI orchestration microservices translate UI actions into queued jobs routed to the optimal model provider, with background job queueing on dedicated GPU nodes.
If your customers need clips, a clip API is cheaper and you should buy one. If your customers need productions — episodes, features, series, with consistency across hundreds of shots — the pipeline is the product and the model is a commodity underneath it.
For the shot-level detail of how production data becomes a generation instruction, see our explanation of the mega prompt.
A buyer's checklist for any white-label AI video vendor
Ask every vendor on your shortlist:
- Which models, and can they be swapped? Single-model platforms inherit that model's roadmap, pricing, and retirement date.
- What exactly is rebrandable? Application chrome only, or the full UX? Custom domain? Emails?
- Where does the data live, and who owns the output? Get IP ownership in writing, not in a marketing claim.
- Is tenancy real isolation? Ask about workspace separation, SSO, and role granularity.
- What is the unit of billing? Per minute, per credit, per seat, per render — and how does that map to what you charge?
- What is the maximum practical output length? Clip-oriented architectures do not become film-oriented ones by scaling up.
- What are the moderation obligations? Who is liable for output, and what scanning happens before delivery?
- What is the export path? Standard interchange formats matter when your customer finishes in Premiere or Resolve.
- What is the support commitment? Concurrency limits and priority queues are the real SLA in GPU-bound systems.
FAQ
Does ACT 3 offer a white-label AI video platform? ACT 3 offers Enterprise-tier licensing with multi-tenant isolation, SAML SSO, granular roles, private assets, 4K output, and high job concurrency, and arranges Enterprise/API and embedded arrangements as custom contracts. There is no self-serve white-label SDK available on a public plan.
Is there an API? API access is part of custom Enterprise licensing rather than a published self-serve product. If you are planning an embedded integration, that is the conversation to start.
Which video models does the platform run? Veo 3, Runway, FLUX, SDXL, ComfyUI, Hunyuan, and Wan 2.1, with per-shot routing chosen by style and complexity, and auto-selection of the cheapest engine meeting the quality constraint. The architecture is deliberately engine-agnostic with swappable back-ends.
Who owns content generated on the platform? The Organization legally owns all projects, content, and generated assets, as stated in the Terms of Service. Ownership can be transferred between members with confirmation from both parties.
How does multi-tenancy work for an agency with many clients? Each Organization is an isolated workspace owning its own projects, members, plan, credit pool, and payment method. A single user can belong to multiple Organizations, so client work stays separated.
Can we resell capacity to our own customers? That is a custom licensing conversation. Bring your expected volume, tenancy model, and branding requirements to the first call so we can tell you quickly whether it is a fit.
Talk to us about Enterprise and API licensing
Bring your volume forecast, your tenancy requirements, and what your customers actually need to produce — clips or productions. We will tell you plainly what is available today and what is a custom contract.
Contact the ACT 3 enterprise team to scope an Enterprise or API licence.