Managed AI video production and review platform

For

In-house creative teams and small video studios producing social and campaign video

Solves

Video work is split across several rented tools, so edits, captions, dubbing and approvals do not share one project record.

Delivers

Reviewed, brand-approved video cuts with captions, dubbing and platform-ready exports

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,000 for the MVP, $44,000 for the full product

Run it

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

Reduce tool switching and review cycles while keeping one owned project record.

1. Automate routine editing cuts and assembly.
2. Generate subtitles and captions automatically.
3. Remove or replace video backgrounds in one step.
4. Create voice narration from script text.
5. Start projects from a template library.
6. Translate and dub audio into other languages.
7. Reduce background noise in source audio.
8. Generate images and textures from text prompts.
9. Track motion for compositing and effects.
10. Composite green screen footage precisely.
11. Support real-time team collaboration on projects.
12. Resize horizontal footage to vertical formats.
13. Post directly to social platforms from the editor.
14. Apply custom caption fonts, colors and sizes.
15. Remove hardcoded subtitles and text overlays.
16. Enhance video resolution and clarity up to 4K.
17. Clone and enhance a consistent voice for narration.
18. Compare the reviewed result with the recorded baseline and value assumptions.
19. Capture corrections and named-owner approval before consequential use.
20. Export a versioned reviewed, brand-approved video cut with source references and unresolved questions.

Everything these tools do, in one app

• AI video editing Automates editing tasks to simplify video production.Found in Nova AI, Runway Gen-3, Crayo and 7 more
• Automatic subtitles Generates subtitles and captions automatically for videos.Found in Nova AI, Crayo, HitPaw Video Editor and 3 more
• Background removal Removes or replaces video backgrounds with a single click.Found in Nova AI, Runway Gen-3, HitPaw Video Editor and 1 more
• AI voice narration Creates natural-sounding voice overs without recording equipment.Found in Nova AI, Crayo, KwiCut
• Templates library Provides professionally designed templates to kickstart projects.Found in Nova AI, Runway Gen-3, Crayo and 3 more
• Video translation and dubbing Translates audio or subtitles into other languages and dubs over original content.Found in VEED, GhostCut
• Noise removal Reduces unwanted background noise to improve audio clarity.Found in Runway Gen-3, HitPaw Video Editor, KwiCut
• Text-to-image generation Converts text prompts into creative visuals and textures.Found in Runway Gen-3, Crayo, HitPaw Video Editor
• Motion tracking Tracks motion in videos for dynamic editing and compositing.Found in Runway Gen-3, HitPaw Video Editor
• Green screen masking Provides precise tools for green screen compositing.Found in Runway Gen-3, HitPaw Video Editor
• Real-time collaboration Enables teams to work together securely on projects.Found in Runway Gen-3, HitPaw Video Editor, Scribewave AI
• Media resizing Transforms horizontal footage into vertical formats for social media.Found in Kapwing
• Direct social media posting Allows direct posting to platforms like TikTok and YouTube from the editor.Found in Kapwing
• Custom captions Offers personalization options such as custom fonts, colors, and sizes.Found in Kapwing
• Smart text removal Removes hardcoded subtitles or text overlays with one click.Found in VEED, GhostCut
• Video quality enhancement Improves video resolution and clarity, up to 4K.Found in Vmake
• Voice cloning Clones and enhances user's voice for consistent audio output.Found in KwiCut

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed footage, brand assets, scripts and caption files

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed footage

4. 3

   Brand assets

5. 4

   Scripts and caption files

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed, brand-approved video cuts with captions, dubbing and platform-ready exports

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 export specification and licensed asset set; final brand, legal and factual 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 reviewed, brand-approved video cuts 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 music or stock 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: automate routine editing cuts and assembly; generate subtitles and captions automatically. 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 video studios producing social and campaign video use it to solve "video work is split across several rented tools, so edits, captions, dubbing and approvals do not share one project record"?
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: Approved cuts per creative hour and corrections after brand approval.
4. Measure, then decide. Track approved cuts per creative hour and corrections after brand 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 export specification and licensed asset set; final brand, legal and factual checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: automate routine editing cuts and assembly; generate subtitles and captions automatically. Support the remaining modules with operator review. 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 reviewed, brand-approved video cuts. Retain the explicit scope boundary: One fixed export specification and licensed asset set; final brand, legal and factual 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 export specification and licensed asset set; final brand, legal and factual 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 reviewed, brand-approved video cut. 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 switching and review cycles while keeping one owned project record. Demonstrate a concrete reviewed, brand-approved video cut 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 video studios producing social and campaign video professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

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

The first 30 days

1. Week 1: interview five in-house creative teams and small video studios producing social and campaign video and inspect a recent example of video work split across several rented tools.
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 approved cuts per creative hour and corrections after brand 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: Approved cuts per creative hour and corrections after brand 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

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

Retention and expansion

Repeat the workflow when the buyer again needs reviewed, brand-approved video cuts. 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 brand 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 video studios producing social and campaign video. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Nova AI, Runway Gen-3, Crayo, Kapwing, HitPaw Video Editor, Scribewave AI, VEED, Vmake, GhostCut and KwiCut, plus freelancers and agencies. Compare this product with the buyer's present method on approved cuts per creative hour and corrections after brand 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 reviewed, brand-approved video cuts. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, music and footage permissions and disclosure requirements. Brand owners approve substantive changes and publication scope. One fixed export specification and licensed asset set; final brand, legal and factual checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.