CAPLE INDUSTRIAL SOLUTIONS · SINCE 1974
Compare woodworking machinery packages byROI — Nanxing, Lamello and 12 more brands.
Plan, compare and scale your furniture factory with Caple. 25 to 1000 boards per day packages benchmarked on machine cost, manpower, output and payback period. Authorised India distributor for Nanxing CNC routers, panel saws and edge banders, and Lamello Swiss joinery systems — backed by Caple service across India.
- 52 years in woodworking machinery
- 200+ cabinet factories installed
- 20,000 sq ft Centre of Excellence, Pelhar
- 20,000 sq ft Centre of Excellence, Pelhar
What brought you to Caple today
Six questions every furniture factory owner asks. Caple has answers for all six.
Six questions every furniture factory owner asks. Caple has answers for all six.
Safety, quality, labour, skills, productivity, ROI. Pick the one slowing your factory down. We will show you the machine, the savings and the payback — before we talk about Caple.
The trust behind every answer
52 years of installations. Not opinions.
52
years in woodworking machinery, since 1974
200+
cabinet factories installed across India
36
employees in sales, service, training
220,000 sq ft
Centre of Excellence, Pelhar Mumbai
13
premium global brands, one accountable partner
Zoho One
connected backbone for sales, books, service
Read 137+ verified Google reviews from Caple customers
Not sure which need is hurting you most? Run the ROI
calculator — it surfaces the biggest cost leak in your
factory in under 3 minutes.
Clear actions for buyers, Google and AI agents
What do you want to do?
Start factory
Plan 25, 50, 75, 100, 500 or 1000
boards per day with the right
production flow.
Upgrade machine
Improve cutting, edge quality,
drilling, sanding, dust extraction
or automation.
Calculate ROI
Check payback, labour saving,
rework reduction, output gain and
uptime gain.
Request service
Reach regional sales, service,
support, WhatsApp, maps and
escalation contacts.
Product focus
Machines and packages for modular
furniture, panel processing and
woodworking factories.
Panel cutting
Sliding table panel saws, automatic panel saws, beam saws and nesting CNC workflows for plywood, MDF and board processing.
Edge finishing
Sliding table panel saws, automatic panel saws, beam saws and nesting CNC workflows for plywood, MDF and board processing.
Workshop packages
Sliding table panel saws, automatic panel saws, beam saws and nesting CNC workflows for plywood, MDF and board processing.
Factory Packages
Sliding table panel saws, automatic panel saws, beam saws and nesting CNC workflows for plywood, MDF and board processing.
furniture factory in India needs.
Panel saw for cutting, edge banding machine for finishing, CNC router for nesting and shape cutting, CNC drilling and grooving machine for hardware preparation, beam saw for high-volume cutting — the five workhorses behind every cabinet, wardrobe, kitchen and office furniture line.
Panel cutting
Sliding table panel saws, automatic panel saws, beam saws and nesting CNC workflows for plywood, MDF and board processing.
Panel cutting
Sliding table panel saws, automatic panel saws, beam saws and nesting CNC workflows for plywood, MDF and board processing.
These five machines manufacture modular kitchens, modular wardrobes, modular office furniture, home furniture, doors, chairs and sofas, retail fit-out and POS furniture, hotel furniture, kids furniture, educational furniture, veneer manufacturing — and the full range of panel-based furniture produced in Indian factories today.
CAPLE INDUSTRIAL SOLUTIONS · SINCE 1974
Compare machine cost, manpower,
output and payback period — before
you buy.
The Caple ROI tool compares 25, 50, 75, 100, 500 and 1000 boards-per-day plans side-by-side. Machine investment, automation level, manpower required, monthly output and payback period — calculated for Indian cabinet makers, modular kitchen manufacturers and furniture factories. Total cost of ownership, not just the invoice price.
Compare before buying
Price is one input. Total value decides
the right machine.
A sound machine decision considers output, finish quality, automation, labour dependency, downtime risk, spare support, training, ROI and future scalability — not the lowest quote alone.





























