Branded AI video production and review studio

For

In-house creative teams and small studios producing recurring video content

Solves

Video work is spread across several rented generation and editing tools, so assets, prompts, brand rules and approvals live in different accounts.

Delivers

Editor-approved video cuts linked to a publishing plan

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool sprawl and review cycles while keeping the brand's own footage and prompts under its control.

1. Generate video from text or creative inputs.
2. Convert written prompts into video.
3. Animate still images into sequences.
4. Export in 1080p or 4K.
5. Refine prompts before generation.
6. Adjust motion effects and aspect ratios, including vertical.
7. Apply cinematic motion controls.
8. Generate lifelike human figures with natural movement.
9. Keep character continuity across episodes.
10. Convert scripts into storyboards with visuals and voiceovers.
11. Run an autopilot mode from start to finish.
12. Select and arrange clips automatically.
13. Trim, composite and edit inside the platform.
14. Apply customizable templates and themes.
15. Reduce background noise and sync music.
16. Add voiceover and background music.
17. Suggest grammar, style and readability fixes in real time.
18. Support multi-user collaboration.
19. Export in multiple formats.
20. Work from any device in the cloud.
21. Operate on mobile.
22. Provide a beginner-friendly interface.
23. Offer a free or launch-phase access tier.
24. Provide community forums and support channels.
25. Compare the reviewed result with the recorded baseline and value assumptions.
26. Capture corrections and named-owner approval before consequential use.
27. Export a versioned editor-approved video cut linked to a publishing plan with source references and unresolved questions.

Everything these tools do, in one app

• AI video generation Creates videos automatically from text or creative inputs.Found in Pika, VIVA, VideoGen (YC S24) and 3 more
• Text-to-video conversion Turns written prompts directly into video content.Found in VideoGen (YC S24), Happy Horse, Animate AI
• Image-to-video conversion Animates still images or builds video sequences from graphics.Found in Happy Horse, Animate AI
• High-definition output Produces videos in high resolution such as 1080p or 4K.Found in VIVA, Pika 2.1
• Prompt optimization Refines user input to generate better video outputs.Found in VIVA
• Customizable motion and dimensions Adjusts video motion effects and aspect ratios, including vertical formats.Found in VIVA
• Extensive motion controls Provides a wide array of cinematic controls for video motion.Found in Higgsfield
• Lifelike human characters Generates realistic human figures with natural movement.Found in Higgsfield
• Consistent character generation Maintains character continuity across multiple episodes.Found in Animate AI
• Script-to-storyboard conversion Converts scripts into storyboards with visuals and voiceovers.Found in Animate AI
• Autopilot mode Automates the entire animation process from start to finish.Found in Animate AI
• Automated video editing Selects and arranges clips automatically for seamless editing.Found in Splice Create
• Integrated video editing tools Provides trimming, compositing, and automated edits within the platform.Found in Happy Horse
• Customizable templates and themes Offers pre-designed templates and themes to match different styles.Found in Splice Create, Story.com
• Audio enhancement tools Includes background noise reduction and music syncing for better audio quality.Found in Splice Create
• Voiceover and background music Allows adding voiceover and background music to videos.Found in VideoGen (YC S24)
• Real-time editing suggestions Provides immediate suggestions to improve grammar, style, and readability.Found in Story.com, Melies
• Collaboration tools Enables multiple users to work on the same project seamlessly.Found in Story.com
• Export options Offers multiple formats for easy publishing and sharing.Found in Story.com
• Cloud-based access Allows access from various devices without needing powerful hardware.Found in VideoGen (YC S24)
• Mobile-first design Optimized for mobile use, enabling video creation on the go.Found in Higgsfield
• Beginner-friendly interface Designed to be accessible for users with little to no prior experience.Found in VIVA, Pika, VideoGen (YC S24) and 3 more
• Free access options Provides free usage or launch-phase access to explore core features.Found in Pika, VIVA, Happy Horse and 2 more
• Community support Offers forums and support channels for feedback and collaboration.Found in Pika

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed footage, brand guidelines, scripts, voice and music assets and approval rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed footage

4. 3

   Brand guidelines

5. 4

   Scripts

6. 5

   Voice and music assets and approval rules

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Editor-approved video cuts linked to a publishing plan

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed output resolution and licensed music set; final brand, legal and publishing checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Creative brief and references, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome editor-approved video cuts linked to a publishing plan visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Brand-owned footage, authorized interviews and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: generate video from text or creative inputs; convert written prompts into video. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will in-house creative teams and small studios producing recurring video content use it to solve "video work is spread across several rented generation and editing tools, so assets, prompts, brand rules and approvals live in different accounts"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted video cuts per creative hour and corrections after publishing approval.
4. Measure, then decide. Track accepted video cuts per creative hour and corrections after publishing approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed output resolution and licensed music set; final brand, legal and publishing checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: generate video from text or creative inputs; convert written prompts into video. Support the remaining modules with operator review: animate still images into sequences; export in 1080p or 4K; refine prompts before generation; adjust motion effects and aspect ratios, including vertical; apply cinematic motion controls; generate lifelike human figures with natural movement; keep character continuity across episodes; convert scripts into storyboards with visuals and voiceovers; run an autopilot mode from start to finish; select and arrange clips automatically; trim, composite and edit inside the platform; apply customizable templates and themes; reduce background noise and sync music; add voiceover and background music; suggest grammar, style and readability fixes in real time; support multi-user collaboration; export in multiple formats; work from any device in the cloud; operate on mobile; provide a beginner-friendly interface; offer a free or launch-phase access tier; provide community forums and support channels. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around editor-approved video cuts linked to a publishing plan. Retain the explicit scope boundary: One fixed output resolution and licensed music set; final brand, legal and publishing checks remain editorial.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed output resolution and licensed music set; final brand, legal and publishing checks remain editorial.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved video cut linked to a publishing plan. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool sprawl and review cycles while keeping the brand's own footage and prompts under its control. Demonstrate a concrete editor-approved video cut linked to a publishing plan using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

In-house creative teams and small studios producing recurring video content professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample editor-approved video cut linked to a publishing plan from a small authorized input set, with a transparent calculation of accepted video cuts per creative hour and corrections after publishing approval and no promised savings.

The first 30 days

1. Week 1: interview five in-house creative teams and small studios producing recurring video content and inspect a recent example of video work spread across several rented generation and editing tools, so assets, prompts, brand rules and approvals live in different accounts.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted video cuts per creative hour and corrections after publishing approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted video cuts per creative hour and corrections after publishing approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted video cuts per creative hour and corrections after publishing approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs editor-approved video cuts linked to a publishing plan. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for in-house creative teams and small studios producing recurring video content. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Pika, VIVA, VideoGen (YC S24), Happy Horse, Story.com, Splice Create, Higgsfield, Pika 2.1, Animate AI and Melies. Compare this product with the buyer's present method on accepted video cuts per creative hour and corrections after publishing approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved video cuts linked to a publishing plan. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One fixed output resolution and licensed music set; final brand, legal and publishing checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.