About
- Tailored AI for your use case – whether you need faster QC, color‑shift alerts, buying‑cost checks, or something entirely unique, we train a model on your data to solve that exact problem.
- Instant fabric identification – detect weave or knit type, thread counts, yarn width, and color codes from a phone photo or a magnified shot with our clip‑on mobile microscope.
- Automated workflows – auto‑populate specs, flag out‑of‑tolerance readings, and move jobs to the next stage without manual hand‑offs.
- Central fabric library – one searchable hub for every swatch, spec sheet, and image so knowledge is shared rather than siloed.
- Collaboration and audit trail – built‑in comments, status tags, and version history keep everyone aligned and accountable.
Manual checks, duplicate data, and single‑person bottlenecks create errors and delays. fabricDNA removes those pain points so teams design, source, and ship faster, with fewer mistakes and full visibility for every stakeholder.
1. Map the pain – together we pinpoint the workflow that drains the most time or money.
2. Train on your data – 25‑50 images per variant are usually enough to build a first‑pass model that speaks your fabric language.
3. Launch in a week – you get a lightweight dashboard on phone and desktop. Use it, refine it, and watch accuracy climb as more data flows in.
Production once ground to a halt because critical fabric info lived in one person’s head. That moment inspired us to democratize the knowledge hidden in swatches and spreadsheets. Using computer vision and lean software, we built a platform that puts reliable answers in every pocket and documents every decision along the way.
- Customer pain first – we only ship features that remove a real bottleneck.
- Speed over perfection – a good model this week beats a flawless one next quarter.
- Radical clarity – transparent pricing, clear metrics, no black‑box promises.
- Shared knowledge equals power – centralized data and collaboration tools raise team performance and cut waste.
