Screenshot of the Managed 3D asset generation and review platform interactive demo
Screenshot of the interactive demo, on sample data

Managed 3D asset generation and review platform

Reduce asset production cycles while keeping creative control and review records.

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For
Game studios, animation teams and XR producers creating 3D assets
Solves
3D asset production is slow and fragmented across separate text-to-3D, image-to-3D, texturing and animation tools, with no single owned workflow or review trail.
Delivers
Reviewer-approved 3D assets with textures, animation and multi-view outputs
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$11,500 for the MVP, $39,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce asset production cycles while keeping creative control and review records.

  1. Generate 3D models from text descriptions.
  2. Generate 3D models from images or photos.
  3. Refine existing images while preserving their overall structure.
  4. Generate textures for existing 3D models using text inputs.
  5. Create animated characters and assets for game development, film and XR.
  6. Generate four distinct views: front, back, left and right.
  7. Fine-tune options such as smoothing iterations and background removal.
  8. Support categories including characters, vehicles, architecture and fantasy elements.
  9. Explore creative variations for iterative design.
  10. Generate models quickly with fast generation times.
  11. Export models in various formats for compatibility with multiple applications.
  12. Integrate with other applications via API.
  13. Compare generated assets against locked briefs and reference images.
  14. Compare the reviewed result with the recorded baseline and value assumptions.
  15. Capture corrections and named-owner approval before consequential use.
  16. Export a versioned reviewer-approved 3D asset package with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Approved text briefs
  • Reference images
  • Category constraints
  • Export specifications

AI drafts, people review. Visual production platform with managed creative review.

What the customer gets
  • Reviewer-approved 3D assets with textures
  • Animation
  • Multi-view outputs
02

How it works

The workflow

  1. In
    Start with

    Approved text briefs, reference images, category constraints and export specifications

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved text briefs

  4. 3

    Reference images

  5. 4

    Category constraints and export specifications

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewer-approved 3D assets with textures, animation and multi-view outputs

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 asset category and export format set; final art direction and rigging checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Asset brief and references, Editable 3D preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central 3D viewport, 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 reviewer-approved 3D assets 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

Studio-owned briefs, authorized reference images and permitted asset libraries. Cloud asset storage, 3D file import/export and game engine or film pipeline 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.

03

How we build it

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

    6 days

    One buyer segment, one recurring use case; first modules: generate 3D models from text descriptions; generate 3D models from images or photos. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 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 game studios, animation teams and XR producers creating 3D assets use it to solve "3D asset production is slow and fragmented across separate text-to-3D, image-to-3D, texturing and animation tools, with no single owned workflow or review trail"?
  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 assets per production hour and corrections after art review.
  4. Measure, then decide. Track accepted assets per production hour and corrections after art review; 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 asset category and export format set; final art direction and rigging checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate 3D models from text descriptions; generate 3D models from images or photos. Support the remaining modules with operator review: refine existing images, generate textures, create animations, generate four views, fine-tune settings, support categories, explore variations, fast generation, export formats and API integration. 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 reviewer-approved 3D assets. Retain the explicit scope boundary: One fixed asset category and export format set; final art direction and rigging checks remain human.

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 asset category and export format set; final art direction and rigging checks remain human.

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: generate 3D models from text descriptions; generate 3D models from images or photos. Manual review in the loop.

    $11,500 · about 6 days of creation time

  2. Phase 2

    Paid pilot

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

    $11,500 · about 7 days of creation time

  3. Phase 3

    Full product

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

    $16,000 · about 3 weeks of creation time

Indicative total, MVP to full product$39,000about 5 weeks of creation time · start with the MVP from $11,500

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$40–$80$150–$310$190–$390
Full productabout 50 customers$160–$320$2,100–$4,200$2,260–$4,520
05

Run it or resell it

Internally

For your own team

Game studios, animation teams and XR producers creating 3D assets run it inside the business: approved text briefs, reference images, category constraints and export specifications in, reviewer-approved 3D assets with textures, animation and multi-view outputs out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

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

  • primary#914527
  • accent#5485c9
  • surface#f1e8e4
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Confident, visual, craft-proud
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 animation, rigging or specialist asset work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved 3D asset package. 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 asset production cycles while keeping creative control and review records. Demonstrate a concrete reviewer-approved 3D asset package using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Game studios, animation teams and XR producers professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved 3D asset package from a small authorized input set, with a transparent calculation of accepted assets per production hour and corrections after art review and no promised savings.

The first 30 days

  1. Week 1: interview five game studios, animation teams and XR producers creating 3D assets and inspect a recent example of slow and fragmented 3D asset production across separate 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 accepted assets per production hour and corrections after art review, 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 assets per production hour and corrections after art review. 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 assets per production hour and corrections after art review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved 3D assets. 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 game studios, animation teams and XR producers creating 3D assets. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

SHAPEN, Meshy AI and CharacterGen, plus freelancers and generic generation tools. Compare this product with the buyer's present method on accepted assets per production hour and corrections after art review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, 3D 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 reviewer-approved 3D assets. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve creative intent, source attribution, asset accuracy and usage permissions. Art directors approve substantive changes and publication scope. One fixed asset category and export format set; final art direction and rigging checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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