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Edge AI Predictive Maintenance · AgriTech

Your production lineis failing right now.Your maintenance schedulecan't see it.

AgriTech is a non-invasive predictive maintenance platform for food processing equipment — motors, compressors, conveyors, mixers, and cold chain systems. Clamp-on vibration, thermal, and current sensors. Edge AI anomaly detection on site.

✓ No rewiring, no production stoppage to install. Deployed in days, not months.

53%

average OEE in food processing — 32 points below world-class

€260K/hr

cost of unplanned downtime in food manufacturing

304,000+

food processing facilities across EU — most rely on reactive maintenance

The challenge

Food processors lose €50B+ annually to unplanned downtime.
Scheduled maintenance can't fix what it can't see.

Emergency repairs cost 5–8× more than planned maintenance. Average response delay is 108 minutes per failure. And 87% of equipment failures show detectable warning signs — weeks before breakdown. The only realistic strategy is continuous condition monitoring — knowing which asset needs attention before it stops the line.

Food processing technician with monitoring device

800+ hours of unplanned downtime per line annually

01VISIBILITY

53%

average OEE · 32 points below world-class

Flying Blind Between Inspections

Desire → Problem

You want to know the real-time health of every critical asset on your production line — which motors are degrading, which bearings are wearing, which compressors will fail next.

Instead, you rely on calendar-based preventive maintenance and manual inspection rounds. 89% of mixer failures show detectable warning signs 2–6 weeks before breakdown — but between inspections, you have no data. No vibration trends. No thermal baselines. No early warnings. A bearing failure that costs €12,000 to repair generates €340,000 in total downtime losses. You're maintaining on a schedule, not on condition — and the schedule is always wrong.

Transformation

Calendar-based maintenance. No data between inspections. Manual rounds on outdated schedules.

Continuous vibration and thermal monitoring. Know today which asset needs attention tomorrow.

02COST OF FAILURE

€260K

per hour · unplanned downtime in food manufacturing

Catastrophic Downtime Without Warning

Desire → Problem

You want to prevent equipment failures — or at least get enough warning to plan repairs on your terms, between production shifts.

But equipment degradation is invisible to scheduled maintenance. Bearing wear accelerates. Motor current draw shifts. Compressor efficiency drops. Conveyor belts stretch. By the time something trips, the line is already down — and every hour costs €260,000 in lost production, spoiled product, and recovery. Emergency repairs cost 5–8× more than planned maintenance. And the replacement part you need? Lead times stretch weeks. One frozen food plant documented $1.2M in annual losses from unplanned stops alone.

Transformation

Discovering failures after the fact. Emergency repairs at crisis costs. 108-minute average response delay.

Detect degradation weeks in advance. Plan repairs between shifts, not during production.

03COMPLIANCE

$10.2M

average cost of a food recall · in the US alone

HACCP Gaps Hiding Between Manual Checks

Desire → Problem

You want continuous, auditable proof that your cold chain, critical control points, and production environment stayed within specification — not just at the 2–3 moments per day someone writes it down.

Traditional HACCP relies on manual logs and periodic spot checks. Facilities conducting only 2–3 daily temperature checks leave 23+ hours unmonitored. FSMA 204 demands full traceability by January 2026. Auditors expect real-time deviation detection — your manual system delivers 30% of that capability. A single walk-in cooler holds €50,000–€500,000 in inventory at risk from one undetected excursion. Paper logs can't prove what happened between checks.

Transformation

Manual HACCP logs. 2–3 checks per day. 23+ hours unmonitored. Paper-based audit trail.

Continuous environmental monitoring. Automated, time-stamped compliance data. Audit-ready documentation 24/7.

04FLEET INTELLIGENCE

800+

hours of annual unplanned downtime · per production line

No Way to Prioritize Across Equipment

Desire → Problem

You want a single view of health across all production assets — motors, compressors, conveyors, mixers, refrigeration — not separate maintenance silos and guesswork.

Without continuous condition data, every asset looks the same on the maintenance schedule. Age-based replacement is wasteful — some 15-year-old motors running within spec are healthier than 3-year-old units under heavy thermal cycling. Maintenance teams firefight instead of planning. Critical conveyors — single points of failure for entire lines — get the same attention as redundant pumps. Without real condition data, you're replacing assets that had years of life left, while missing the ones about to stop your line.

Transformation

Age-based replacement schedules. No condition data to prioritize. Maintenance teams firefighting.

Health-ranked equipment view. Invest maintenance hours where they matter. Defer where it's safe.

Running production lines, cold chain, or processing equipment without continuous monitoring? Let's see what non-invasive sensors and edge AI can reveal about your assets.

Start the conversation →

Our solutions

Three modules. One platform.
Nothing invasive.

AgriTech monitors your production equipment from the outside — clamp-on sensors on motors, compressors, conveyors, and cold chain systems. No rewiring, no production stoppage to install. The edge gateway processes data locally. You see everything in one dashboard.

Solves: Flying Blind + Catastrophic Downtime

AgriSense

Non-Invasive Equipment Monitor

Sensors per asset3–6
Installation time1–2 hours per asset
No production stoppageYes
Anomaly detectionOn-device
Discuss AgriSense →
AgriSense

Clamp-on vibration, temperature, and current sensors installed on motors, bearings, compressors, pumps, and conveyor drives — no rewiring into the equipment, no integration with existing PLCs, no production stoppage. Each sensor node connects wirelessly to a local edge gateway that runs anomaly detection models on-device.

AgriSense detects bearing wear (vibration frequency shifts), motor degradation (current signature anomalies), compressor efficiency loss (thermal and power trending), conveyor drive strain (belt tension and alignment shifts), and mixer mechanical imbalance — weeks before functional failure. Not as deep as a full SCADA overhaul — but deployed across every critical asset in your plant, not just the 10% connected to your existing historian.

Solves: HACCP Gaps + Compliance Risk

ColdGuard

Cold Chain & Environmental Monitor

Temperature accuracy±0.5°C
Monitoring24/7 continuous
Alert latencySub-minute
HACCP / FSMA complianceDocumented
Discuss ColdGuard →
ColdGuard

Continuous temperature, humidity, and environmental monitoring across cold chain assets — walk-in coolers, blast freezers, processing rooms, and storage facilities. Replaces manual 2–3× daily checks with automated, time-stamped readings every 60 seconds. Audit-ready reports generated automatically.

Plant managers get instant alerts when any zone drifts out of specification — before product is compromised. Quality teams get automated HACCP documentation that auditors trust more than paper logs. A single prevented temperature excursion can save €50,000–€500,000 in product loss. FSMA 204 traceability requirements are met with continuous, digital records across every critical control point.

Solves: No Way to Prioritize

FleetView

Production Health Dashboard

Health score per asset0–100
Fleet-wide rankingReal-time
Alert-to-work-orderAutomated
CMMS integrationSAP PM, Maximo
Discuss FleetView →
FleetView

FleetView aggregates data from every AgriSense and ColdGuard sensor node — motors, compressors, conveyors, mixers, refrigeration units — into a single health dashboard, ranked by condition, not age.

Maintenance managers see which 10 assets need attention this week — whether those are compressor bearings, conveyor drives, or mixer gearboxes. Planners get automated work orders when anomalies cross thresholds. Leadership gets production health KPIs and maintenance cost projections. Integration with SAP PM and IBM Maximo means AgriTech fits your existing workflows — no new CMMS, no IT project.

How it works

Four layers. No complexity.
Data stays in your network.

No PLC integration. No SCADA modification. AgriTech is a parallel monitoring layer — it reads your equipment from the outside and delivers health insights without touching your OT network or production controls.

Layer 1

Sense

Clamp-on vibration, temperature, humidity, and current sensors. Wireless connection to gateway. No rewiring into equipment. Food-grade IP65/IP69K housings.

Layer 2

Edge

Industrial gateway (ARM/x86, IP65). On-device anomaly detection. Raw data stays local — only health indices and alerts transmitted. Sub-second response for critical events.

Layer 3

Cloud

Fleet aggregation, trend analysis, benchmarking across assets and plants. Hosted in EU (Frankfurt). Or on-premise if required.

Layer 4

Act

Health dashboard, alert rules, automated CMMS work orders, HACCP compliance reports, monthly production health summaries for plant management.

No PLC / SCADA integration needed

AgriTech operates as a parallel monitoring layer. Your production controls and OT network remain untouched.

Protocols: Modbus, MQTT, OPC UA

Standard industrial connectivity. Works with existing infrastructure. SAP PM and Maximo integration out of the box.

HACCP / FSMA-ready design

Continuous monitoring, time-stamped records, automated compliance reports. Designed to support your audit and food safety requirements.

Get started

See results on
one line in 90 days.

We don't ask you to commit to a plant-wide rollout. Pick your most critical production line or cold chain — and let the data speak for itself.

01

Scoping call — 30 min

We learn about your production assets — equipment types, maintenance pain points, compliance requirements, cold chain concerns. You get a preliminary assessment of monitoring potential. No commitment.

02

On-site sensor deployment

Our engineers install clamp-on sensors and edge gateways on 10–20 critical assets — motors, compressors, conveyors, cold chain units. 1–2 hours per asset. No production stoppage required.

03

90-day monitoring period

Continuous data collection and anomaly detection. Monthly health reports. At the end: a documented equipment health assessment with prioritized action list, compliance gap analysis, and plant-wide rollout ROI model.

Let's discuss your production assets

Motors, compressors, conveyors, cold chain — tell us what you're running. We'll prepare a tailored assessment.

No commitment. Response within 1 business day. Essen, Germany · Engineering centres across EU

Built by
Promwad engineering team

3M+

Devices shipped

21+

Years engineering

500+

Products developed

100+

Engineers across EU

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