AI that cuts fabric waste, nails costing, and makes sustainable manufacturing the default.
Sheath Technologies is a Pune-based AI startup building enterprise software for the $1.8 trillion apparel manufacturing industry. Three products live. 16 years of domain expertise.
$100B+
Annual fabric spend we help optimize
98%
Costing accuracy from just 100 styles
Near Zero
End-bit waste with cascading cut plans
3 Products
Live and shipping today
The Fabric Optimization Engine
The Operating System for Fashion Costing
We optimize fabric across costing, buying, and cutting — the three stages where money leaks. Most solutions address only one.
Our founder built and scaled the tools at the center of Coats Digital's platform. 16 years on factory floors across 7 countries. 200+ factory engagements.
Compatible with all leading CAD systems. Works as a drop-in solution alongside your existing tools. Hybrid cloud + on-premise. Native ERP/MIS integration from day one.
Generate every possible cutting layout. Optimize across waste, efficiency, and cost. Eliminate end-bit waste. All in minutes.
Fabric is 50–60% of garment cost. Most factories optimize cutting layouts in isolation — they get a good layout but then lose 3–5% in end-cuts, width mismatch, and poor roll allocation. The industry has accepted this waste as inevitable. MarkerMind proves it isn't.
GPU-accelerated computation generates the full universe of possible cutting layouts for an order in minutes. Not one layout — every viable combination across all sizes, ratios, and fabric widths.
The cut plan solver optimizes simultaneously across fabric waste, layout efficiency, width utilization, shrinkage compensation, and cutting costs. Choose the plan that fits your priorities.
A cascading cut plan progressively consumes end-bits across production runs without requiring warehouse reorganization or specific roll picking. Near-zero end-bit waste.
MarkerMind — GPU Nest
GPU-accelerated fabric layout optimization
End-Bit Planning
Cascading cut plans eliminate end-bit waste
| Metric | Industry Typical | With MarkerMind |
|---|---|---|
| Layout generation time | Hours per order | Minutes (all combinations) |
| End-bit waste | 3–5% | Near zero |
| Fabric savings vs. leading solutions | Baseline | +2–3% additional |
| Cost vs. enterprise alternatives | Enterprise pricing | A fraction of incumbent solutions |
Apparel manufacturers, cut-room managers, fabric planning teams, and production heads who want to reduce fabric waste without overhauling existing systems. MarkerMind drops in alongside your current setup — it reads pattern files from any major CAD system and shows whether a better cut plan exists.
98% fabric consumption accuracy from just 100 historical styles. Know what a garment costs before you cut a single piece of fabric.
The fashion industry spends ~$100 billion annually on fabric. But at the costing stage, consumption is a guess — 15–30% variance is normal. For manufacturers, wrong costing is nearly impossible to recoup after price lock-in with brands. The margin is lost before production even begins.
Feed Axiom your tech packs, garment images, or specification sheets. AI vision models extract measurements, construction details, and fabric specifications automatically.
AI predicts fabric consumption with 98% accuracy from just 100 historical styles. Human-in-the-loop validation ensures every estimate is reviewed and trusted before it goes forward.
Get evidence-backed fabric cost estimates at the design stage — before a single sample is cut. Turn costing from guesswork into data-driven decisions.
Most AI costing tools need millions of data points and months of integration. Axiom reaches production accuracy with just 100 historical styles. Deployable in days, not months. This is the cold-start problem solved.
~$100B
Annual industry fabric spend
$60B
Fabric cost layer
$12B+
Estimated annual costing leakage
$40M
Value per enterprise customer (2% improvement)
Costing merchandisers, sourcing heads, and brand product teams who want to move from gut-feel fabric estimates to evidence-backed consumption data. Axiom transforms the costing function from data entry to sourcing intelligence.
Upload what you own. Get outfit ideas that actually work. Powered by visual vector search and state-of-the-art image generation.
Upload your closet, get outfit ideas that work. Explore trends. Check if a purchase goes with what you own.
Generate mood boards in minutes. Explore trend directions. Show clients styled options before they commit.
Offer virtual styling at a fraction of typical costs. Upload showrooms, build looks, send buyers a link.
Powered by visual vector search + state-of-the-art image generation
Sheath Technologies builds AI products that optimize fabric — the single largest cost in apparel manufacturing. Founded in 2024 and headquartered in Pune, Maharashtra, India, we bring 16 years of factory-floor experience and cutting-edge AI research to an industry that still relies on manual processes and legacy software.
Our products cover the full fabric lifecycle: Axiom predicts what a garment will cost at the design stage. MarkerMind optimizes how that fabric is cut on the factory floor. StyleSync brings AI-powered styling to consumers and businesses. Together, they serve the entire value chain — from design to sourcing to production.
Founded 2024
Pune, Maharashtra, India
3 Products
MarkerMind, Axiom, StyleSync
B2B + B2C
Enterprise AI + Consumer AI
16 Years
Domain expertise in apparel
Founded by Saurav Ujjain — 16 years in the fashion supply chain, from factory floors to enterprise technology to AI. With a BTech in Apparel Manufacturing from NIFT Delhi and an MSc in AI/ML from IIIT Bangalore, he has led prominent fashion-tech businesses including building and scaling ThreadSol across 7 countries before its acquisition by Coats. Over 200 factory advisory engagements across APAC, a $400K AI Transformation Challenge winner, and 4 AI products shipped.
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