Design visual production and review platform

For

Architects, developers and construction teams producing design visuals and models

Solves

Design visuals, models and compliance checks sit in separate subscriptions, so teams re-enter data, lose review history and cannot prove who approved what.

Delivers

Approved visual outputs linked to project records

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

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

Replace several rented visual tools with one owned workspace that turns project inputs into reviewed, client-ready visuals and models.

1. Generate visual outputs from project inputs.
2. Produce photorealistic renderings.
3. Build detailed 3D models.
4. Adjust materials, colors, lighting and styles.
5. Apply predefined design styles.
6. Provide an intuitive interface for all skill levels.
7. Export in common file formats.
8. Organize work into layers.
9. Manage and suggest color palettes.
10. Support real-time multi-user collaboration.
11. Render from multiple viewing angles.
12. Produce renderings quickly.
13. Import .FBX, .GLB and .3DM files.
14. Share projects in immersive 3D without extra software.
15. Share and remix team creations.
16. Check designs against regulatory standards.
17. Offer a customizable template library.
18. Route outputs for optional expert refinement.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned approved visual output linked to project records with source references and unresolved questions.

Everything these tools do, in one app

• AI-Powered Generation Uses artificial intelligence to automatically create visual outputs from user inputs.Found in ArchiGen, Bits Art, Architect Render and 4 more
• Photorealistic Renderings Produces high-quality, realistic images that look like photographs.Found in ArchiGen, Architect Render, Render a House
• 3D Model Generation Creates detailed three-dimensional digital models of objects or buildings.Found in ArchiGen, Artefacts.AI
• Customizable Design Settings Allows users to adjust parameters like materials, colors, lighting, and styles to tailor the output.Found in ArchiGen, Architect Render, Visualizee.ai 2.0 and 3 more
• Multiple Design Styles Offers a variety of predefined aesthetic styles to instantly transform inputs.Found in ArchiGen, Artefacts.AI, Fenestra
• User-Friendly Interface Provides an intuitive and easy-to-navigate interface for users of all skill levels.Found in ArchiGen, Bits Art, Architect Render and 2 more
• Export Options Enables downloading or exporting the created visuals in various file formats.Found in Bits Art, Visualizee.ai 2.0, Artefacts.AI
• Layer Support Allows organizing artwork into separate layers for complex compositions and easy modifications.Found in Bits Art
• Color Palette Management Helps manage and suggest color palettes based on the artwork style.Found in Bits Art
• Real-Time Collaboration Enables multiple users to work on the same project simultaneously.Found in Visualizee.ai 2.0
• Multiple Viewing Angles Generates renderings from different perspectives to showcase various viewpoints.Found in Render a House, Fenestra
• Rapid Rendering Produces renderings quickly, often in seconds, to reduce waiting time.Found in ArchiGen, Architect Render, Render a House and 1 more
• File Format Support Imports and works with common 3D file formats like .FBX, .GLB, and .3DM.Found in Fenestra
• 3D Collaboration and Sharing Allows sharing projects in immersive 3D environments without additional software.Found in Fenestra
• Community Remix Enables users to share and remix each other's creations for inspiration and improvement.Found in Artefacts.AI
• Regulatory Compliance Checks generated designs against regulatory standards to ensure adherence.Found in ArchiGen
• Template Library Provides a collection of customizable templates for quick starts.Found in ArchiGen, Visualizee.ai 2.0
• Professional Refinement Offers optional human expert refinement of AI-generated models.Found in Artefacts.AI

What goes in, what comes out

The workflow

1. In
   Start with

   Drawings, briefs, site data and regulatory constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect drawings

4. 3

   Briefs

5. 4

   Site data and regulatory constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Approved visual outputs linked to project records

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 project type and one regulatory jurisdiction; final design, compliance and buildability checks remain professional. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Project 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 approved visual outputs linked to project records 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

Client-owned drawings, authorized site data and permitted regulatory sources. Cloud asset storage, design-file import/export and project delivery 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

   6 days

   One buyer segment, one recurring use case; first modules: generate visual outputs from project inputs; produce photorealistic renderings; build detailed 3D models. 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 architects, developers and construction teams producing design visuals and models use it to solve "design visuals, models and compliance checks sit in separate subscriptions, so teams re-enter data, lose review history and cannot prove who approved what"?
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 visual outputs per production hour and corrections after client approval.
4. Measure, then decide. Track approved visual outputs per production hour and corrections after client 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 project type and one regulatory jurisdiction; final design, compliance and buildability checks remain professional. Implement one approved input format, a bounded representative case set and the first three task modules: generate visual outputs from project inputs; produce photorealistic renderings; build detailed 3D models. Support the remaining modules with operator review: adjust materials, colors, lighting and styles; apply predefined design styles; check designs against regulatory standards. 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 approved visual outputs linked to project records. Retain the explicit scope boundary: One project type and one regulatory jurisdiction; final design, compliance and buildability checks remain professional.

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 project type and one regulatory jurisdiction; final design, compliance and buildability checks remain professional.

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 project 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 approved visual output linked to project records. 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

Replace several rented visual tools with one owned workspace that turns project inputs into reviewed, client-ready visuals and models. Demonstrate a concrete approved visual output linked to project records using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Architects, developers and construction teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample approved visual output linked to project records from a small authorized input set, with a transparent calculation of approved visual outputs per production hour and corrections after client approval and no promised savings.

The first 30 days

1. Week 1: interview five architects, developers and construction teams and inspect a recent example of design visuals, models and compliance checks sitting in separate subscriptions.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure approved visual outputs per production hour and corrections after client 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 visual outputs per production hour and corrections after client 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 visual outputs per production hour and corrections after client approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs approved visual outputs linked to project records. 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, project constraints and review examples, together with reliable delivery for a narrow built-environment niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for architects, developers and construction teams producing design visuals and models. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

ArchiGen, Bits Art, Architect Render, Visualizee.ai 2.0, Render a House, Artefacts.AI and Fenestra, plus freelancers and generic generation tools. Compare this product with the buyer's present method on approved visual outputs per production hour and corrections after client 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 approved visual outputs linked to project records. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve design intent, source attribution, drawing accuracy and usage permissions. Licensed professionals approve substantive design, compliance and buildability changes and publication scope. One project type and one regulatory jurisdiction; final design, compliance and buildability checks remain professional. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.