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- Fibre composition
- 62% CO / 38% PET92%
- Origin
- EU · undisclosed71%
- Recycled content
- 38%54%
Care labels, certificates, delivery notes, and now the garment itself. TexFile reads the evidence at line speed and turns it into verified item records with calibrated confidence and full provenance. Every claim, traced to its evidence.
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SCROLL TO VERIFY
Germany collects around 1.3 million tonnes of used textiles a year, most of it sorted by hand into hundreds of fractions. At line speed nobody can reliably say what a garment is made of, so good material gets downgraded and less than one percent becomes new clothing.
Illustrative artifacts62% CO · 38% PET
Cert Nº ····· · scope ·····
Lot ······ · 1,240 kg
Recycled content · 38%
Self declared · unsigned
Origin · EU · undisclosed
Custody ····· → ·····
The dates are fixed. EU rules now demand item level data on what a garment is made of, and penalties for unproven claims reach four percent of annual turnover.
Unsubstantiated green claims banned
Environmental claims must be substantiated, with penalties of up to four percent of annual turnover.
2026-09-27 · EU 2024/825 · EmpCo
TexFile is built by three founders with equal equity, gender mixed at executive level, spun out of a Horizon Europe research project at Constructor University Bremen. The same three people built and validated the system TexFile deploys. No external hiring is required to execute the plan.
CEO · Product
Built the vision language capture pipeline and its orchestration in an EU research project at Constructor University Bremen.
COO · Commercial & Data
M.Sc. Data Science for Society and Business, Constructor University Bremen. Executive leadership with equal equity is a standing gender balance commitment.
CTO · Engineering
Carries the validated pipeline onto production hardware at the sorting facility.
Mentor and coordination · Prof. Dr. Omid Fatahi Valilai — Mentor · Coordinator
Full team dossier
The idea began on a sorting line, inside an EU research project at Constructor University Bremen. We saw it from the inside. At line speed nobody can say what a garment is made of, so the data the new rules assume is never recorded.
EU Research Project
Germany collects about 1.3 million tonnes of used textiles a year, most of it still sorted by hand. Barely any of it becomes new clothing again. Good material is downgraded because no one can prove what it is.
bvse Alttextilstudie · Ellen MacArthur Foundation
Almost every garment already carries its own documentation, sewn in at the seam. We read that label at line speed and turn messy text into verified facts, each one with a calibrated confidence.
Each item becomes a knowledge graph built to the EU Digital Product Passport model and GS1 standards. Unreliable fragments in, a record the whole value chain can rely on out. One engine serves several customers.
The material returns to the loop, routed by evidence instead of guesswork. Its verified record joins a databank that keeps nature green and safe, and proves every claim when the auditor asks.
The rest go to assisted review, and every correction is written back with its provenance.
A multi view capture station photographs each garment at the line. A vision language pipeline reads composition, care, origin and brand from labels in any language or condition, normalizes them into controlled EU vocabularies with calibrated confidence, and assembles a per item record aligned with the EU Digital Product Passport model, GS1 EPCIS and PROV-O. Sorters route more garments into reuse and fiber to fiber recycling. Brands and producer responsibility schemes buy verified chain of custody evidence for stock that carries no digital identifier.
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Multi view, calibrated capture. A quality gate scores each image and says which view to retake.
Vision models read worn labels into structured facts, each citing the verbatim label text.
Conflicting sources resolve by a transparent weighted vote. Verified means corroborated.
Calibrated per field: 0.9 means nine in ten. Each fact auto commits or goes to human review.
A knowledge graph per item, aligned with the EU DPP model and validated against SHACL shapes.
Immutable snapshots, version history, a read only API. Routing fast enough for a live line.
Multi view, calibrated capture. A quality gate scores each image and says which view to retake.
Vision models read worn labels into structured facts, each citing the verbatim label text.
Conflicting sources resolve by a transparent weighted vote. Verified means corroborated.
Calibrated per field: 0.9 means nine in ten. Each fact auto commits or goes to human review.
A knowledge graph per item, aligned with the EU DPP model and validated against SHACL shapes.
Immutable snapshots, version history, a read only API. Routing fast enough for a live line.
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A TexFile record is not an assertion. It is a chain of evidence: every value carries a calibrated confidence and a link back to the document it was read from.
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Select a field to trace it to its source.
SRC · care-label · p.1
SRC · care-label · p.1
SRC · care-label · p.1
SRC · material-cert · §2
SRC · material-cert · §2
SRC · delivery-note · L4
SRC · delivery-note · L4
SRC · supplier-decl · §1
TexFile reads the garment itself, not only its paperwork. Calibrated images become condition, category, measurement and brand signals, and every one of them flows through the same reconcile, score and provenance pipeline as a label fact. No visual claim enters the record without a source.
Holes, tears, stains, open seams and fraying, each with a severity. The condition grade that follows is deterministic and versioned: the same images always yield the same grade.
Garment type classified automatically, with attribute suggestions the operator can accept or correct.
Key dimensions in millimetres, taken from a calibrated flat lay image rather than a tape measure.
Text read from labels and graphics, plus brand logo detection. Each fact cites the image it was read from.
An agentic layer turns a verified garment record into outputs a resale or upcycling partner can use the same day. It works under one strict rule, enforced in code rather than promised in prose.
Textile resale software, in detailThe AI may phrase. It may not invent facts.
Real resale listings are found and cited as comparables. The band and the sell through estimate are computed by versioned, auditable arithmetic, never made up by a model.
A deterministic repairability check, with guidance drawn from a verified repair library.
AI imagery shows the garment with a defect repaired, quality gated so the model provably touched only the marked region.
Photorealistic images of the garment worn by AI models from a diverse, versioned persona roster.
An AI written title and description where every hard fact, from grade and fibre to measurements and price, is projected from the verified record through an allowlist.
Computed from cited comparables. Never estimated by a model.
Sell through · estimatedEvery generated image carries a visible AI disclosure band, burned into the pixels. EU AI Act Article 50, by construction.
Every AI asset starts as pending review. A named person approves, rejects or revokes it, on an append only log. Partners only ever see approved, disclosed media.
Reuse routed garments enter a partner queue matched by capability: resell, upcycle or repair. Every transition is logged, and an export mints an EPCIS custody transfer event.
A partner export is a byte stable bundle, listing data, approved disclosed images and the item code, projected from the verified record.
Everything the engine verifies is worked, reviewed and audited somewhere. Seven surfaces cover the path from the sorting line to the auditor's desk, each built for the hands and the light it is actually used in.
A dark, touch first console at the line: capture a label, get a routing answer at arm's length. Works offline and syncs when the connection returns.
The shift's dashboard: items processed, auto route rate, verified coverage, what is held for review, and a live activity stream.
A keyboard first queue for low confidence facts: confirm or correct, grouped by field. Every correction is written back with its provenance.
Per field confidence and sources, the conformance report, the EPCIS timeline, the GS1 Digital Link code and an interactive knowledge graph view.
A batch's recycled content statement and chain of custody with a mass flow diagram, exported deterministically for the auditor.
Facility registration, license management, the approval console for generated media, and oversight of every partner handoff.
A live offer queue and a composed garment dossier, imagery, condition, repair advice and the price band, through to export.
Full English and German UI.
WCAG 2.1 AA, audited automatically. Keyboard complete, reduced motion support, touch targets sized for gloved hands.
Installable as a PWA. Capture continues through connectivity loss and syncs when back online.
Live event streaming, degrading gracefully to polling.
Phone to wall mounted display, light and dark themes, density preferences.
TexFile sits upstream of DPP platforms and beside the systems a facility already runs, so the edges are part of the product: a typed API for partners, and a security posture published as capabilities rather than promises.
Generated from an OpenAPI 3.1 schema, with versioned JSON Schema contracts for every shape partners integrate against.
Query by item, version, batch or facility. Immutable snapshots, full version history, JSON-LD and RDF export.
Every item carries a GS1 Digital Link URI and a scannable code, served by a conformant resolver.
Recycled content and chain of custody reports, every figure traceable to fact level provenance, coverage openly disclosed.
Token auth, the offer queue, the garment dossier and listing pack export, with live events and a polling fallback.
License key and admin authentication with short lived tokens, session revocation and refresh token rotation.
Role based access, scoped strictly by facility and partner. A partner only ever sees what was offered to them.
Append only: logins, admin actions, handoff transitions and every media approval decision.
Personal data encrypted at rest, license keys stored only as hashes, modern password hashing.
EU region infrastructure with data residency guardrails, an on site edge console for the facility floor, and AI tracing that is EU pinned and payload blind.
Hardened web and API layers, with a published methodology: STRIDE threat modeling, OWASP ASVS L2 verification and automated scan gates in CI.
From a research prototype to the trust network: what is shipped, what we are building, and what comes next. Every line traces to a dated record.
Verification prototype validated
Label reading and normalization into controlled vocabularies, validated against a frozen test set of 340 label images with calibrated confidence at the 0.9 operating point.
Pilot data access across a European consortium
Letters of Intent from consortium partners across collection, sorting, recycling, sensing and research secure pilot facilities and real waste stream imagery.
[FOUNDER: confirm LOI dates before publishing specifics]
Pilot installation at a partner sorting facility
An industrial scan station on a running line: camera and edge integration, hardened to sustain 18,000 items per hour.
Robustness on damaged and multilingual labels
Accuracy hardening on the worst material first: worn, damaged and multilingual labels from real waste streams.
DPP aligned record export
Standards conformant passports from the record store: JSON-LD export, GS1 Digital Link resolution, SHACL validation before anything ships.
Verification service v1
Verified recycled content and chain of custody records for brands and EPR schemes, with a product carbon footprint from the same evidence.
Garment vision joins the record
Reading the garment itself, not only its paperwork: condition and damage with a deterministic grade, category and attributes, calibrated measurements and brand signals fold into the item record as added evidence sources.
Upcycling & resale layer
A verified record becomes resale ready outputs: a price band computed from cited comparables, repair guidance from a verified library, disclosed AI imagery behind human approval, and a partner handoff that mints EPCIS custody events.
Incorporation and first commercial installation
The pilot converts into the first commercial installation, and two more facilities follow within twelve months.
[FOUNDER: confirm timing after the funding decision]
The trust network
One shared verification layer across sorters, recyclers, brands, EPR schemes and cities. Each installation improves recognition for everyone already live.
TexFile is a shared record. Wherever a garment is collected, sorted, recycled, sold or certified, the same evidence travels with it.
Sorting operators that need to know what each item is, at line speed.
Recyclers that cannot trust incoming feedstock claims.
Brands and retailers that must substantiate recycled content and prepare for the DPP.
Producer responsibility organisations and public waste authorities that must evidence mass flows.
Second life sellers, upcyclers and repair shops that receive reuse routed garments.
Certification bodies that audit material claims.
Institutes studying textile circularity at scale.
One record, every party. Tell us where you sit in the chain.
See a record traced end to end, or request the investor materials. Every claim, traced to its evidence.
[FOUNDER: confirm contact address, RESEND_API_KEY + verified sender domain]