Screenshot of the Brand vector asset production studio interactive demo
Screenshot of the interactive demo, on sample data

Brand vector asset production studio

Reduce tool switching and manual export work while keeping every vector asset on brand.

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For
Brand and marketing teams producing vector graphics for campaigns and products
Solves
Vector assets are generated in one tool, edited in another, reviewed over email and exported by hand, so brand consistency and file ownership suffer.
Delivers
Reviewed, editable brand vector assets with SVG and PNG exports
Built in
about 6 weeks of creation time, MVP in 7 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
01

What it does

Reduce tool switching and manual export work while keeping every vector asset on brand.

  1. Generate vector graphics from text prompts.
  2. Convert sketches and reference images into vectors.
  3. Build a custom style from brand reference images.
  4. Offer pre-defined style options for each generation.
  5. Produce editable vectors with separate layers and colors.
  6. Adjust colors, shapes and sizes on the canvas.
  7. Remove backgrounds from logos and designs.
  8. Process multiple files in one batch.
  9. Provide a template library for common formats.
  10. Provide a community and royalty-free asset library.
  11. Blend uploaded media into generated designs.
  12. Let several users work on one design at the same time.
  13. Save projects to the cloud for re-editing.
  14. Route assets to printing partners for cards, apparel and merchandise.
  15. Export approved assets as SVG and PNG.
  16. Compare the reviewed result with the recorded baseline and value assumptions.
  17. Capture corrections and named-owner approval before consequential use.
  18. Export a versioned reviewed, editable brand vector asset set with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Text prompts
  • Sketches
  • Reference images
  • Brand style references
  • Media uploads

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

What the customer gets
  • Reviewed
  • Editable brand vector assets with SVG
  • PNG exports
02

How it works

The workflow

  1. In
    Start with

    Text prompts, sketches, reference images, brand style references and media uploads

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect text prompts

  4. 3

    Sketches

  5. 4

    Reference images

  6. 5

    Brand style references and media uploads

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Reviewed, editable brand vector assets with SVG and PNG 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 three 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 brand style guide and licensed font set; final brand and trademark checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Prompt and reference workspace, Editable vector canvas, Review and export. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for styles, layers, colors 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, editable brand vector 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

Brand-owned style guides, licensed fonts and permitted reference media. 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.

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

    7 days

    One buyer segment, one recurring use case; first modules: generate vector graphics from text prompts; convert sketches and reference images into vectors. 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 brand and marketing teams producing vector graphics for campaigns and products use it to solve "vector assets are generated in one tool, edited in another, reviewed over email and exported by hand, so brand consistency and file ownership suffer"?
  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 brand vector assets per production hour and corrections after brand review.
  4. Measure, then decide. Track accepted brand vector assets per production hour and corrections after brand 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 brand style guide and licensed font set; final brand and trademark checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate vector graphics from text prompts; convert sketches and reference images into vectors. Support the third module with operator review: build a custom style from brand reference images. 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, editable brand vector assets. Retain the explicit scope boundary: One brand style guide and licensed font set; final brand and trademark 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 brand style guide and licensed font set; final brand and trademark 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 vector graphics from text prompts; convert sketches and reference images into vectors. Manual review in the loop.

    $13,500 · about 7 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.

    $13,500 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $19,000 · about 3 weeks of creation time

Indicative total, MVP to full product$46,000about 6 weeks of creation time · start with the MVP from $13,500

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

Brand and marketing teams producing vector graphics for campaigns and products run it inside the business: text prompts, sketches, reference images, brand style references and media uploads in, reviewed, editable brand vector assets with SVG and PNG exports 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#913727
  • accent#54bcc9
  • surface#f1e6e4
  • ink#22201e
Headings
DM Serif Display
Text
DM Sans
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 video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed, editable brand vector asset set. 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 manual export work while keeping every vector asset on brand. Demonstrate a concrete reviewed, editable brand vector asset set using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Brand and marketing teams producing vector graphics for campaigns and products professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed, editable brand vector asset set from a small authorized input set, with a transparent calculation of accepted brand vector assets per production hour and corrections after brand review and no promised savings.

The first 30 days

  1. Week 1: interview five brand and marketing teams producing vector graphics for campaigns and products and inspect a recent example of vector assets generated in one tool, edited in another, reviewed over email and exported by hand, so brand consistency and file ownership suffer.
  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 accepted brand vector assets per production hour and corrections after brand 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 brand vector assets per production hour and corrections after brand 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 brand vector assets per production hour and corrections after brand review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed, editable brand vector 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 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 brand and marketing teams producing vector graphics for campaigns and products. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

PlusVector, Brushless.ai, neoSVG, VectorArt.ai, Illustroke, Logo Diffusion, illustration.app, Logopony, SVG.io and Plurana are what buyers use today, each covering part of the job. Compare this product with the buyer's present method on accepted brand vector assets per production hour and corrections after brand 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, 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, editable brand vector assets. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, asset accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One brand style guide and licensed font set; final brand and trademark 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 7 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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