Every factory hits the same walls.
Industrial intelligence systems — from machine monitoring to autonomous operations — for manufacturers and the teams building their software.
Three gaps holding manufacturing back
Machines aren’t observable
→ Nirmano Pulse
Operations run on manual work
→ Nirmano Edge
Industrial software lacks manufacturing depth
→ Nirmano Compass
Machines break without warning
Smart vibration monitoring that catches problems before they become downtime.
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Systems don’t talk to each other
Custom technology systems that connect your machines, data, and people.
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Building manufacturing software without senior product leadership
Fractional technology leadership to set direction and drive results.
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Find your starting point
Tell us your industry and biggest challenge — we'll show you where technology fits.
One integrated capability stack
Recent work
Systems deployed on real factory floors
Production systems and monitoring for real manufacturing challenges.
Manufacturing Data Platform
Fractional CPO for a manufacturing data integration platform. Built a decision intelligence MVP that unified disconnected factory data.
Unified data layer with real-time decision intelligence across MES, ERP, and PLM.
Disconnected MES, ERP, and PLM data silos. Manual Excel reports compiled weekly. Decisions based on yesterday's data — quality issues caught too late.
Nirmano Manufacturing OS
SMB manufacturers need comprehensive factory software without SAP-level complexity and cost.
Full MES/QMS/PLM/supply chain platform with AI/ML — 8 integrated modules.
Factory operations split across disconnected tools — paper-based quality checks, Excel-based scheduling, no real-time OEE visibility.
Manufacturing Quality Analyzer
Quality engineers struggle to prove root causes of defects from observational production data.
Causal inference that separates correlation from causation in quality defects.
Quality teams correlating process variables with defects in spreadsheets. Months of trial-and-error to identify root causes. SPC charts without actionable insights.
Nirmano Pulse
Affordable smart vibration monitoring that gives any factory machine a voice. Magnetic-mount sensor puck with edge processing.
Real-time machine state detection and anomaly alerts — no wiring, no integration.
No visibility into machine health. Unplanned breakdowns discovered by operators. Maintenance is reactive — fix it when it breaks.
How it works
From factory tour to working systems
Typical engagement: 4-8 weeks. Here's the process.
Discovery
We tour your factory floor, understand your production lines, quality challenges, your machines, and data landscape.
Scoping
We map the specific opportunity, define what we'll build, and lay out a clear timeline and investment. You know exactly what you're getting.
Building
We build it — software, sensors, or both — connected to your factory. You see progress weekly and can course-correct as we go.
Handoff
You get working systems, documentation, and the knowledge to run them. We stick around to make sure everything lands.
Quick ROI estimate
Estimated annual savings
₹2,49,408 - ₹3,74,112
Hours saved per month
52 - 78
Typical payback period
16.0 - 24.1 months
This is a rough estimate. Let's get precise →
Choose your starting point
Our machines keep breaking down unexpectedly.
Start with Nirmano Pulse
Affordable vibration monitoring catches bearing wear, imbalance, and misalignment weeks before failure. Most teams see results within the first month.
Explore Nirmano Pulse →We have data everywhere but can’t connect the dots.
Start with Nirmano Edge
We build the custom systems that connect your machines, quality data, and production schedules into one coherent picture. Scoped and delivered in 4–8 weeks.
Explore Nirmano Edge →We’re building manufacturing software and need senior product leadership.
Start with Nirmano Compass
Fractional CPO/CTO for manufacturing software companies. We bring deep manufacturing domain knowledge to your product team without the full-time overhead.
Explore Nirmano Compass →Have a manufacturing challenge? Let's figure it out.
Describe your operation and we'll show you where technology can make the biggest impact — with specifics, not generalities.
We run 3 CNC lines making auto parts. Scrap rate is around 4%. Can technology help?
Absolutely. A 4% scrap rate on CNC lines usually traces back to tool wear, fixture drift, or material variation. We'd start with vibration monitoring on your spindles using Nirmano Pulse, then layer in SPC anomaly detection. Most shops see scrap drop to 1.5-2% within the first quarter.