Engineering language
Every customer speaks differently. The system understands them all.
FTT translates each customer’s terminology into one canonical engineering model—without losing their codes, wording, layers, positions, states or grading logic.
- One canonical dictionary
One technical meaning for every Point of Measure.
- Customer vocabulary preserved
Aliases absorb each customer’s own language without duplicating the engineering concept.
- Connected engineering
Measurements, patterns, grading, sketches, tech packs and audits all reference the same definition.
One engineering meaning. Many customer expressions.
- Pattern
- Measurements
- Grading
- Tech Pack
- Audit
01 · Canonical dictionary
A dictionary, not a field list.
Every technical measurement is a single canonical object with an official English name, a global code, a family, a dimensional regime and a grading law. Customers may use different words; the engineering meaning remains one.
One Point of Measure
One meaning. No duplicates.
The platform does not create a new measurement every time a new spreadsheet or customer vocabulary appears. It maps every expression to the same canonical POM.
The customer keeps their language. The system keeps the engineering truth.
02 · Layers & instances
The same measure can exist more than once.
A garment may repeat the same POM by layer, position or state. FTT treats every combination as its own engineering row while preserving the shared canonical meaning underneath.
The same measure can exist more than once.
Engineering precision
No silent overwrites.
Outer and lining, left and right, top and bottom, relaxed and extended: each value lives independently at model level. Repetition is explicit, named and traceable.
Same POM. Different layer, position or state. Every value preserved.
03 · Verified grading
Grading is a law, not a copied number.
FTT derives the real grading form from the numeric values. Breaks are detected from the data itself, preventing incorrect rules from being propagated because of an ambiguous heading or a misleading note.
Rules derived from values
Breaks detected before production.
A POM can be fixed, linear or linear with a break. The platform identifies where increments actually change and connects that law to every dependent size, pattern and table.
We do not copy grading tables. We understand and validate them.
| Chest width | XXS | XS | S | M | L |
|---|---|---|---|---|---|
| Value | 47 | 49 | 52 | 55 | 58 |
| Increment | — | +2 | +3 | +3 | +3 |
04 · Safe matching
Ambiguity is surfaced, never silently imported.
Description is the primary signal. Code is the confirmation. When both agree, the link is automatic. When they contradict each other, FTT stops and asks for a human decision.
Ambiguity is surfaced, never silently imported.
Controlled imports
Ask once. Never mix data silently.
Codes may be reused, mistyped or learned incorrectly. FTT treats contradictions as valuable information and blocks high-confidence mistakes before they enter the model.
A contradiction is information, not noise.
05 · Engineering intelligence
AI works because the garment is structured.
The system does not rely on generic text generation. AI works over canonical POMs, customer aliases, layers, instances, grading laws and technical dependencies—so suggestions can be checked against engineering reality.
Structured intelligence
Not prompts. Relationships.
FTT can suggest POM placement, detect missing assets, identify grading breaks and audit consistency because every object has a known technical meaning and a controlled relationship to the garment.
AI accelerates the work. The engineering model protects the result.
AI works because the garment is structured.
Next
The engine that puts the language to work.
The canonical language is what makes geometry drivable. The pattern engine is where a measurement change becomes a redrawn pattern and a regenerated size range.
Explore the parametric pattern engine