Where we work
Industries that cannot buy a generic stack
If a SaaS demo looks perfect until the first exception, you are in our market. Below are representative problem shapes — not claimed case studies.
Manufacturing & job shops
Mix of CNC, welding, packaging, and that one line nobody wants to touch. We connect what can be connected, leave the rest as a disciplined manual event, and still give the owner a morning number.
AI: defect families, tool-life hints, quote-from-history. IoT: power, cycle counts, environmental holds.
Warehousing & 3PL
Dock congestion, SKU chaos, labour mix. Location + WMS events + a copilot for “where did the shortage start?”
Facilities, malls, campuses
Chillers, DG, pumps, and AMC vendors. Energy as a P&L line, not a surprise bill.
Clinics & labs
Queue, sample chain, equipment uptime. Privacy-first AI on SOPs — not medical diagnosis theatre.
Education & skilling
Centre ops, batch quality, placement pipelines. Heritage of computer education in the Mumbai north-west corridor informs how we design for trainers and students.
Multi-site SMEs
Five plants, one promoter group. Same KPIs, different machines. Templates with local forks — not a fake “one system”.
Infra-adjacent ops
Sites, stores, and contractor gates. Attendance, material, and photo evidence that survive a monsoon week.
How to recognise a fit
You have tribal knowledge in two people’s heads. You have sensors that nobody plots. You have AI FOMO and a board asking for it. You would rather own the system than rent a dashboard. If three of those are true, write to us.