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Manufacturers lose money in the gaps — unplanned downtime, undetected defects, paper approvals, and security postures that fail OEM audits. We close those gaps.
The reality on the ground
On most shop floors, downtime is discovered when the line stops, quality escapes are discovered by the customer, and the true cost of a job is discovered at month-end. Data exists — in machine logs, quality registers, and ERP entries — but nobody has wired it into decisions.
Meanwhile OEMs now audit their suppliers' cybersecurity the way they audit their quality systems. A flat network and an exposed portal are no longer an IT detail; they are a contract risk.
What we deliver
Live dashboards on downtime, output, and equipment effectiveness — per line, per shift, per plant. Explore this practice →
Models on sensor and log data flagging failure patterns before the breakdown. Explore this practice →
Camera-plus-model inspection catching defects at line speed — every unit, not every tenth. Explore this practice →
Segmentation, hardening, VAPT, and the evidence pack that clears supplier assessments. Explore this practice →
ERPNext-based production, inventory, purchase, and costing — with mobile approvals for the floor. Explore this practice →
Requisitions, gate entries, dispatch documents, and compliance reports generating themselves. Explore this practice →
Results we target
Targets based on engagements of this shape — actual goals are agreed per project, upfront, in writing.
Auto-parts manufacturer cleared its OEM security audit after full hardening. Read the full sample case study for this industry.
Read case studyRepresentative scenarios
Honesty note: these are illustrative engagement scenarios — problem patterns we solve and the results a well-run engagement targets. They are not real client names or audited figures, and they'll be replaced by documented case studies as projects complete.
Client profile: Auto-components manufacturer, 2 plants.
The problem: A ransomware attack at a peer triggered OEM supplier assessments; the company had a flat network and an exposed supplier portal.
What we build: Full VAPT, network segmentation separating plant and office systems, patching cadence, monitoring, and phishing training with an evidence pack.
Typical results: OEM assessment cleared in one review cycle, phishing failure rate from 34% to 6%, zero incidents since.
Client profile: Machining plant, 120 machines.
The problem: Downtime was logged on paper after the fact; causes were argued about, never analyzed, and repeated monthly.
What we build: Sensor and PLC data feeding a live OEE dashboard with downtime classification, alerts, and maintenance scheduling.
Typical results: Unplanned downtime down ~35%, maintenance shifted from reactive to planned, causes now ranked by measured cost.
Client profile: Custom fabrication shop.
The problem: Quotes were estimated from memory, actual job costs were unknown until month-end, and some product lines quietly lost money.
What we build: ERPNext with job costing, routing, and material tracking — every job's estimate versus actual visible as it runs.
Typical results: Quote accuracy up sharply, loss-making product lines identified and re-priced, month-end costing eliminated.
Client profile: Precision components supplier.
The problem: Manual sampling inspected one unit in ten; defect batches reached OEM customers and triggered penalty debits.
What we build: Vision-inspection station with a custom defect-detection model checking every unit at line speed, with an operator review queue.
Typical results: Customer complaints on covered defects near zero, 100% inspection at line speed, debits eliminated on that part family.
Client profile: Mid-size manufacturer, 3 units.
The problem: Paper requisitions traveled days behind reality; head office learned of purchases from invoices.
What we build: Mobile requisition and approval workflow with budget context attached, integrated into the ERP purchase cycle.
Typical results: Approval turnaround from days to hours, spend visible before commitment, purchase policy actually enforced.
Client profile: FMCG contract manufacturer.
The problem: Production schedules followed rough monthly estimates; rush changeovers and dead stock were both routine.
What we build: Demand-forecasting model on order history and seasonality feeding weekly production plans with confidence ranges.
Typical results: Changeovers down, finished-goods dead stock reduced double digits, service levels up with the same capacity.
Client profile: Process plant, continuous operation.
The problem: The same pump and motor failures recurred; logs existed but nobody mined them, and spares were either missing or overstocked.
What we build: Predictive-maintenance models on vibration, temperature, and runtime data with alert thresholds and spares forecasting.
Typical results: Majority of covered failures flagged in advance, emergency spare purchases cut, planned windows replacing night calls.
Client profile: Equipment manufacturer, 200+ dealers.
The problem: Dealer orders, warranty claims, and stock queries all ran through phone calls and a shared inbox.
What we build: Dealer portal with live stock, ordering, order tracking, and warranty-claim submission with document upload.
Typical results: Order-entry effort largely eliminated, warranty processing days faster, dealers self-serving around the clock.
Bring us the problem. We'll bring the plan, the build, and the numbers to prove it worked — agreed upfront, reported honestly.
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