Screenshot of the Pattern repeat engineering desk interactive demo
Screenshot of the interactive demo, on sample data

Pattern repeat engineering desk

Production-oriented repeat checking before fabric sampling.

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For
Textile surface designers
Solves
Attractive motifs fail at repeat seams and production scale.
Delivers
Printer-reviewed repeat proofs
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$16,000 for the MVP, $50,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For textile surface designers, turn owned motifs and printer specifications into printer-reviewed repeat proofs.

  1. Build repeat alternatives.
  2. Detect edge seams.
  3. Preview scale.
  4. Check color limits.
  5. Record printer feedback.
  6. Export proof tiles.

What goes in, what comes out

What the customer puts in
  • Owned motifs
  • Printer specifications

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

What the customer gets
  • Printer-reviewed repeat proofs
02

How it works

The workflow

  1. In
    Start with

    Owned motifs and printer specifications

  2. 1

    The buyer creates a project

  3. 2

    Supplies owned motifs and printer specifications

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Printer-reviewed repeat proofs

AI does the heavy lifting, people stay in charge

Suggest repeat arrangements; use geometric seam checks. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

What your team sees

Key screens: Motif canvas, Repeat inspector, Production proof. 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. Open with motif canvas; move into repeat inspector for the detailed task; finish in production proof for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

Integrations and data access

Existing artwork, campaign systems and client approval processes. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Begin with uploads and exports of owned motifs and printer specifications. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

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: build repeat alternatives; detect edge seams. 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 textile surface designers use it to solve "attractive motifs fail at repeat seams and production scale"?
  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 the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track sampling rejections and seam defects. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Raster tile export for one printer profile. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: build repeat alternatives; detect edge seams. Support the third task through an assisted review queue: preview scale. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of printer-reviewed repeat proofs. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept printer-reviewed repeat proofs, automate check color limits; record printer feedback; export proof tiles. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Raster tile export for one printer profile.

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 inputs, an agreed review rubric and a buyer-side owner. Specific scope: Raster tile export for one printer profile.

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: build repeat alternatives; detect edge seams. Manual review in the loop.

    $16,000 · 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.

    $14,500 · about 7 days of creation time

  3. Phase 3

    Full product

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

    $19,500 · about 3 weeks of creation time

Indicative total, MVP to full product$50,000about 5 weeks of creation time · start with the MVP from $16,000

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

Textile surface designers run it inside the business: owned motifs and printer specifications in, printer-reviewed repeat proofs 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#914327
  • accent#54b4c9
  • 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 video, 3D or specialist design separately. These are test prices, not market benchmarks. For this buyer, package the first sale around check three repeat tiles and the defined printer-reviewed repeat proofs. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Production-oriented repeat checking before fabric sampling. Demonstrate the result with check three repeat tiles for textile surface designers. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Textile designers and print suppliers

Lead magnet

Check three repeat tiles

The first 30 days

  1. Week 1: interview five prospective buyers from textile surface designers and inspect how they handle attractive motifs fail at repeat seams and production scale.
  2. Week 2: prepare check three repeat tiles using authorized or synthetic material.
  3. Week 3: share the demonstration through textile designers and print suppliers and seek one bounded paid pilot.
  4. Week 4: measure sampling rejections and seam defects, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run check three repeat tiles and deliver printer-reviewed repeat proofs. Compare sampling rejections and seam defects with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Sampling rejections and seam defects

Retention and expansion

Build repeat use around printer-reviewed repeat proofs. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on sampling rejections and seam defects. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains 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. For this concept, accumulate permissioned examples and reviewer corrections around production-oriented repeat checking before fabric sampling. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Freelancers, creative agencies, generic generation tools and existing design applications. Position this concept around production-oriented repeat checking before fabric sampling. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets. Initial validation additionally budgets for small fabric proofs and print review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Protect supplied asset rights, client approvals and product fidelity. Do not reuse private client assets across accounts. Raster tile export for one printer profile. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

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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