From pattern room to factory floor: AI built for your entire PD team
TL;DR: FashionINSTA is an enterprise-grade AI operating system that automates the entire product development pipeline, turning your brand's existing .DXF archives into CAD-ready patterns, tech packs, and cost estimates. Built with strict data privacy, it integrates seamlessly with existing PLM and CAD tools to accelerate workflows and ensure fit consistency.
FashionINSTA trains on your brand's own production .DXF archive and returns CAD-compatible .DXF patterns, automated tech packs, BOM data, cost estimates, and feasibility checks. Every output is built from your fit blocks, not generic AI templates.
Built for product development teams who need fit consistency, faster PD cycles, and documentation that factories can actually use.
Request a Scoped Enterprise PoC
Why PD teams hit the same wall, every season
Pattern creation stalls at scale. Teams recreate similar blocks from scratch because nobody can quickly search what already exists. Revision cycles pile up when spec geometry doesn't match what the pattern maker built. And when the tech pack finally leaves the building, it's already missing something the factory needs.
The cost is real: wasted design time, avoidable sampling rounds, and carry-over work that takes weeks instead of hours.
What PD leaders actually need isn't another image generator. They need an operating system for the full development pipeline, one that connects reference inputs to graded patterns, then to specs, then to cost and feasibility, before a single sample is cut. That's what FashionINSTA is built to do.
The PD workflows FashionINSTA automates, role by role
Every PD workflow follows the same sequence: reference → pattern → tech pack → render → video. FashionINSTA mirrors that pipeline with specialist nodes that each team member can use at their stage.
Pattern Generator retrieves the closest matching .DXF pattern from your trained archive, or generates new patterns from your building blocks. These are real files you can download and use, graded and ready for CAD. The matching is based on pattern geometry, not image similarity, so the outputs hold to your brand's fit philosophy.
Tech Pack Compiler auto-generates tech packs with measurements, construction notes, fabric specs, and colorway details. Factory-ready documentation, without the manual hours.
BOM Agent connects to a real fabric shop and returns actual fabric names, compositions, prices, and MOQs, not stock photos or generic swatches. Your sourcing team gets live data, not placeholders.
Cost Estimator calculates cost-of-goods based on fabric consumption, construction complexity, trims, and labor. Your PD leads get a real cost picture before anyone books a factory slot.
Feasibility Analyzer checks whether your design can be manufactured at your target price point and flags construction issues before they become sampling disasters. Connected to the right data, feasibility and cost estimation can reach about 80% of the reality.
Media and Render Nodes tie front/back views, lifestyle imagery, and 360-degree spin visuals directly to the underlying design data, so review decks stay connected to the actual spec, not a detached mood board.
It works with your existing CAD and PLM tools
FashionINSTA outputs open cleanly in CLO3D, Style3D, Tukatech, Gerber, Lectra, Marvelous Designer, and VStitcher. Your pattern makers keep full control for final touches in the CAD environment they already know, the platform removes the drafting and tedious geometry changes, not their expertise.
For teams running AI-assisted workflows, FashionINSTA includes a ready MCP server. You can trigger PD workflows directly from ChatGPT, Gemini, Claude, or any MCP-compatible client. Fashion Complete OS also includes API in and out for PLM, PIM, and DAM integration, plus automatic carryover and seasonal scaling.
A 10-week pilot that proves value before you commit
The Enterprise PoC is scoped to one category and measured against three agreed KPIs. Here's how the ten weeks break down:
- Weeks 1–2: Data collection, 70 to 150 patterns from one category, with the FashionINSTA team guiding the process.
- Weeks 3–4: Training and setup on a dedicated AWS tenant in your region.
- Weeks 5–10: Active trial with up to 10 seats across PD, PM, TD, and designer roles. Weekly calibration calls included.
- Week 10: KPI review and a joint go/no-go decision for full rollout.
The pilot scope includes .DXF pattern training, pattern search and matching, automated CAD operations, POM extraction, and tech pack generation, plus SSO, role-based access control, and a full audit trail from day one.
Request a Scoped Enterprise PoC
Licensing that scales across your whole PD team
The Enterprise PoC is priced at €5–15k one-time, scoped by category and volume. It includes 100–150 patterns trained, a dedicated AWS tenant, and up to 10 seats.
After a successful PoC, Fashion Complete OS runs at €23,900/year/seat, with volume pricing available for larger teams. The path is straightforward: start with one category, prove your PD KPIs at week 10, then expand to additional categories once the workflow is stable. AI compute scales with jobs, so usage and credits grow with your pipeline, not as an opaque overhead.
What the numbers look like
- 4× faster PD cycle from first reference to factory-ready documentation
- 10× faster first draft, pattern makers and designers get a working starting point in minutes
- 750+ features extracted per pattern during training, capturing your brand's fit DNA at the geometry level
- 50,000+ patterns ingested across the platform, the model is built on fashion-specific pattern intelligence, not general-purpose AI
- Carry-over work reduced from weeks to hours through automated seasonal scaling
- Feasibility and margin scoring before sampling, cutting avoidable rework loops
Enterprise security and IP isolation
Every customer runs on a dedicated AWS instance in the region of their choice. No shared inference, no cross-training, no pooled data. Your patterns, sketches, and tech packs are never used to train or improve another brand's system, this is contractual, not a policy statement.
Enterprise controls include SSO, role-based access, a full audit trail, and encrypted transfer and storage. A mutual NDA and DPA are in place before any data moves.
"FashionINSTA was the first tool we evaluated that actually returned .DXF patterns our team could grade and cut. Everything else gave us images."
Answers to the questions PD teams ask before they sign
Will the outputs preserve our fit philosophy? Yes. FashionINSTA trains on your production .DXF archive, 750+ features per pattern, to learn your brand's construction DNA. New patterns are generated from your building blocks, not from a generic base.
Can we use the outputs in our existing CAD tools? The .DXF files open cleanly in CLO3D, Style3D, Tukatech, Gerber, Lectra, Marvelous Designer, and VStitcher. Tech packs export in factory-ready format.
How accurate is the cost and feasibility output? When connected to correct fabric and manufacturer data, feasibility and cost estimation can reach about 80% of the reality. Accuracy depends on the quality and completeness of the data you connect.
Is our data used to train other brands' models? No. Every customer runs on a dedicated AWS instance with no shared inference, no cross-training, and no pooled data. This is a contractual commitment, not a setting you toggle.
How long does onboarding take? The 10-week Enterprise PoC is the onboarding. Weeks 1–2 are data collection, weeks 3–4 are training, and weeks 5–10 are your team's active trial. The first deliverable is a trained model on your category patterns, live in your dedicated tenant by week 5.
How does licensing work for a cross-functional team? The PoC includes up to 10 seats covering PD, PM, TD, and designer roles. Full rollout via Fashion Complete OS is priced per seat at €23,900/year with volume pricing for larger organizations.
Request a scoped Enterprise PoC
One category. Your patterns. Three agreed KPIs. A measurable week-10 review to decide together.
Request a Scoped Enterprise PoC
Mutual NDA within 48 hours. Reply within one business day. Dedicated AWS tenant and KPI review included from day one.