AI enablement built for the factory floor
Manufacturing is Nirmano's deepest vertical. Everything we offer applies to manufacturers — plus domain-specific products and workflows that no generalist AI firm can deliver. The founder's background spans mechanical engineering, aerospace simulation, and manufacturing consulting for Fortune 500 companies.
AI on the factory floor is a different problem
The data comes from machines, not spreadsheets. The users are operators and engineers, not knowledge workers. The environment is noisy, dirty, and often offline. Integration means talking to PLCs and SCADA systems, not SaaS APIs. The cost of failure isn't a bad email — it's a scrapped batch, a safety incident, or a line shutdown.
- Data from machines and sensors, not just databases
- Integration with PLCs, SCADA, MES, ERP systems
- Offline-first requirements for factory environments
- Safety and quality implications for every decision
Manufacturing-specific AI workflows and systems
OEE tracking and analysis
Real-time Overall Equipment Effectiveness monitoring that surfaces the actual drivers of lost production time. Not just the number — the intelligence layer that turns OEE data into improvement actions.
Predictive maintenance workflows
Vibration analysis, anomaly detection, and maintenance scheduling that catches problems before they become downtime. Integrates with existing maintenance systems and CMMS platforms.
Quality prediction and root cause analysis
AI that identifies the process variables driving defects, separating causation from correlation in production data. Connected to your QMS for closed-loop quality management.
Production optimization
Scheduling, throughput optimization, and capacity planning workflows that account for real-world constraints — changeovers, material availability, labor scheduling, maintenance windows.
Industrial content engines
Content workflow architecture configured for the manufacturing buyer: technical specifications, case studies with operational data, thought leadership that speaks to engineers and procurement. Built from your actual expertise, not generic templates.
Pipeline intelligence for industrial sales
Lead scoring, CRM automation, and attribution configured for the long manufacturing sales cycle, technical buyer persona, and referral-heavy industrial ecosystem.
Smart monitoring that gives any machine a voice
A magnetic-mount sensor puck with edge processing — installs in minutes, works offline, no integration required. Captures machine state data, detects early-stage bearing wear, imbalance, and misalignment, and surfaces OEE metrics. While manufacturing is the primary application, the same technology monitors any rotating or vibrating equipment — warehouse conveyors, HVAC systems, commercial kitchen equipment.
Hardware variants
| Spec | OEE Puck | PdM Puck |
|---|---|---|
| Price | Early access | Early access |
| Sensor | LIS2DH12 (3-axis, low-power) | IIS3DWB (3-axis, wideband, ultra-low noise) |
| Sampling rate | 100 Hz | 26.7 kHz |
| Bandwidth | 0-50 Hz | 0-6.3 kHz |
| Power | Coin cell (CR2032) | LiPo rechargeable |
| Battery life | 12 months | 3 months (with duty cycling) |
| Use case | Machine state + cycle counting | Full vibration spectrum + temperature |
Architecture
firmware
Rust on nRF52840 — direct SPI/I2C, no RTOS, on-device DSP
edge
Raspberry Pi gateway — multi-sensor aggregation, local anomaly detection
processing
RMS, peak, crest factor computed on-device. State machine with hysteresis. Z-score anomaly detection.
Build status
Operational data from Pulse feeds the compounding flywheel — OEE improvement data becomes case study material, reliability trends become competitive positioning, cross-customer benchmarks become industry content. The hardware generates the data that makes the AI workflows more valuable.
Custom operational technology for the factory floor
Edge is not a product — it's a deployment capability. Each engagement produces a bespoke system: MES integration, QMS workflows, data pipelines, AI/ML models, and IoT infrastructure configured for your specific operations. Delivered in 4-8 weeks. The same capability applies to non-manufacturing operational environments, but manufacturing is where we have the deepest domain knowledge.
Data Integration
Connect MES, ERP, PLM, and sensor data into one coherent layer. Stop copy-pasting between spreadsheets and siloed systems.
Quality Analytics
SPC dashboards, defect tracking, first-pass yield analysis. Replace paper-based quality logs with real-time visibility.
Production Optimization
Cycle time analysis, bottleneck identification, scheduling tools. See where time goes and where to get it back.
IoT Connectivity
Sensor-to-dashboard pipelines for machines that weren't built to be connected. Edge gateways, protocol translation, local processing.
Where we see the most traction
Auto Parts & Precision Machining
- CNC tool wear detection
- OEE tracking across lathe and grinding lines
- Quality analytics linking process parameters to defects
Food & Beverage Processing
- Mixer and conveyor monitoring
- OEE visibility with changeover tracking
- HACCP compliance data automation
Plastics & Injection Molding
- Cycle time consistency tracking
- Machine state for actual vs. planned production
- Mold wear detection via vibration
Pharma & Chemical
- Reactor and centrifuge monitoring
- Automated batch records
- Environmental monitoring (21 CFR Part 11)
Garments & Textiles
- OEE across high machine-count floors
- Maintenance scheduling from actual hours
- Operator productivity analytics
Metal Fabrication
- Press brake impact monitoring
- Die wear detection via vibration patterns
- Accurate job quoting from real utilization data
Get early access to Nirmano Pulse
Join the waitlist. We'll reach out when a spot opens up.
Join the Nirmano Pulse early access list
We'll reach out when a spot opens up.
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