Know what's happening on your shop floor, while it's happening.
I'm Ravi, a full-stack and AI engineer with around ten years of experience. I help small manufacturers replace whiteboards, Excel and WhatsApp updates with live production tracking, machine monitoring and AI quality checks.
Most small plants find out what went wrong only after the shift is over.
Output is counted at the end of the day. Stoppages are remembered, not recorded. Defects are caught by the customer. By the time numbers reach the owner in Excel or on WhatsApp, the loss has already happened and nobody can say exactly why.
Large ERP and MES systems are built for big companies with IT teams. Small plants are left with no practical option.
Short stops and slow changeovers never show up in a report.
Rejected lots come back from customers, with rework and lost trust.
Hours spent compiling Excel and calling supervisors for updates.
Too costly, too slow to roll out, and need an IT department.
5-question plant check
Can you answer these right now, without a phone call?
- 01How many parts has each line produced so far today?
- 02Which machine stopped the most this week, and why?
- 03What percentage of yesterday's output was rejected?
- 04Which shift or operator is consistently below target?
- 05Where is today's dispatch truck right now?
Simple systems that answer those questions automatically
Start with the one problem costing you the most. Every module feeds the same dashboard, so you can add more later.
Production tracking
See output for every line, shift and operator against target as it happens, instead of at the end of the day. Job cards and batch records move from paper to a tablet.
- Live count per line from sensors or tablet entry
- Shift and operator targets with variance
- Batch and job-card traceability
- Automatic end-of-shift report
Machine monitoring & OEE
Read run, idle and stop signals directly from your machines. Every stoppage is recorded with a reason, so you know where capacity is being lost.
- Connects to PLCs and sensors (Modbus, OPC UA, MQTT)
- Downtime reasons logged by operators
- OEE per machine, line and shift
- Early warnings for maintenance
AI visual quality inspection
A camera with on-device AI checks parts on the line for cracks, scratches and surface defects, and keeps a photo of every reject for review.
- Trained on your actual parts and defects
- Runs on the device, no internet needed
- Photo record of every rejected part
- Reject trends by line, shift and defect type
Workforce & attendance
Face-recognition attendance built for round-the-clock industrial use, linked to shifts and lines so attendance and output finally match.
- Contactless face-recognition check-in
- Designed for 24/7 shop-floor conditions
- Shift roster and overtime tracking
- Export for payroll
Dispatch & fleet tracking
Live GPS for outbound trucks and staff transport, with alerts when a vehicle leaves its planned route and proof of delivery from a driver app.
- Live vehicle location on a map
- Route deviation and delay alerts
- Driver mobile app with proof of delivery
- Trip history and reports
Owner dashboard
All modules in one place: on your phone, on a laptop, and on a TV in the office, with alerts when something needs your attention.
- Role-based views for owner, manager and supervisor
- Mobile app and shop-floor TV display
- Instant alerts for stoppages and defects
- Excel export anytime
Remote-first, small steps, results before you commit to more
- 1
Discovery call
You show me the floor on a video call. I tell you honestly what's worth tracking first.
- 2
Fixed proposal
One page: what we'll measure, hardware needed, timeline and a fixed pilot price.
- 3
Pilot on one line
Devices ship pre-configured. Your electrician installs them with my remote guidance.
- 4
Scale or stop
If the pilot shows value, we extend it. If not, you keep what was built.
You talk to the person designing and building your system.
No office or sales overhead built into your price.
Edge devices keep tracking when the internet drops, then sync.
Hosted in your own Microsoft Azure account, exportable to Excel.
Hi, I'm Ravi.
Full-stack & AI engineer · Karnataka, India
I've spent around ten years building business software end to end, from backend and cloud to web and mobile apps. Over the last few years my work has moved onto the shop floor: devices, cameras and tracking systems that have to run reliably all day in industrial conditions.
- .NET
- Microsoft Azure
- Angular
- Flutter
- Edge AI
- IoT · MQTT
Book a free 30-minute call
Tell me which of the five questions you can't answer today. I'll tell you honestly whether I can help, what it would take, and roughly what it would cost.
Remote consulting for plants across India.