Built for the world's
most resource-intensive
industry. Textile.
From spinning to finishing, our software runs in the dye houses, knit lines, and printing mills of India's, Pakistan's, Bangladesh's and Turkey's largest textile groups — cutting water, energy and chemicals by 20–30% on lines that already exist.
under management
per kg fabric
average
to payback
The four problems
every dye house solves daily.
Right-first-time dyeing.
Wrong shade, off-spec hand-feel, or fastness failures send fabric back through the dye house — burning water, energy and chemicals on the rework. T-DH predicts high-risk batches before they run, and recommends the right recipe to hit the target shade first time.
Compatible-bath sequencing.
The order in which shades run through a dye machine governs how much water and time you waste between batches. T-APS sequences your machines for compatibility — light-to-dark, recipe-similarity, fibre-grouping — automatically.
Stenter energy spikes.
Finishing is the second-largest energy consumer in a textile mill after dyeing. T-FM optimises stenter speed, temperature and chemical curves to hit shrinkage and hand-feel targets at minimum gas/electricity cost.
ESG audits without spreadsheets.
GOTS, Higg, M&S, H&M and Tesco audits all want order-, batch- and product-level resource data. SystainSuite captures it natively — no manual reconciliation, no last-minute chase.
Optimise every stage
of the textile process.
Order intake & planning
Orders sequenced for due-date, machine fit, and shade compatibility.
Pre-treatment & dyeing
Right-first-time recipes, real-time floor data, mid-batch correction.
Finishing
Stenter optimisation, GSM/shrinkage prediction, energy cuts.
Printing
Paste-prep, strike-off, and curing for rotary, flat-bed and digital.
QC, costing & ESG
Per-batch costing, audit-ready ESG, predictive maintenance.
A roster of the
industry's biggest names.
Three textile customers.
Three concrete outcomes.
How Aditya Birla's Knits Division built the template for group-wide transformation.
Selected after evaluation against three other vendors. The deployment delivered measurable water and energy reductions in the first 90 days, and is now the reference architecture for further rollouts across the $45B group.
Kamal Limited's Dye House goes live with SystainSuite.
Multi-line deployment across the Karachi facility. Targeting 25% reduction in water and chemical consumption alongside ESG-audit-ready reporting for international brand partners.
Siyaram Silk Mills powers smarter operations with T-APS.
Replaced spreadsheet-based planning with constraint-aware scheduling across the suiting and shirting mills. Improved on-time delivery and machine utilisation in under 90 days.
The numbers behind
the customer roster.
Every metric here is independently verifiable in customer factories. We work with the World Bank, GOTS, M&S, H&M and Tesco on benchmarking and certification.
saved cumulatively
avoided in mills
across deployments
savings delivered
For every kg of fabric
we run, the typical mill saves:
Average outcomes across our textile customer base since 2010. Run a custom calculation for your specific throughput on the home page calculator.
Calculate for your throughputReady to findyour dye house's savings?
30-minute call with a textile specialist. We'll show you a deployment from your region — and run a back-of-envelope ROI for your throughput.