How do you handle edge hardware with limited compute?

We optimize models specifically for target hardware — quantization, pruning, and runtime selection (TFLite, ONNX Runtime) to fit inference within your compute and memory envelope.

What if we have historical sensor data but no labeled failure events?

Unsupervised anomaly detection can establish normal operating baselines without labeled failures. We assess your data during discovery and select the right modeling approach for what you have.

Do you build industrial AI for companies in the USA, UK, India, and UAE?

Yes. We serve Industrial clients across the US, UK, India, and UAE. We have experience with industry standards across markets — including IEC 62443 cybersecurity, CE marking requirements (UK/EU), and local industrial safety certifications. We design for your market's compliance landscape from the start.

How do you handle IEC 62443 cybersecurity compliance in AI-connected industrial systems?

We follow IEC 62443 zone and conduit architecture from the start — segmenting OT networks from IT networks and ensuring AI systems operate within appropriate security zones. All communication channels between edge devices and cloud infrastructure use authenticated, encrypted protocols. We conduct threat modeling as part of architecture design and document security controls for your compliance review. For SIL-rated environments, AI inference operates in advisory mode with human control over safety-critical decisions.

How quickly do industrial companies typically see ROI from AI investments in their operations?

Predictive maintenance AI typically shows measurable ROI within 60–90 days of deployment through reduced unplanned downtime and maintenance labor costs — one prevented failure often covers the project cost. Quality control AI shows defect rate reduction within 2–4 weeks of deployment. Supply chain optimization improvements take longer to validate — typically one full planning cycle (3–6 months) to quantify. We define measurable KPIs (downtime hours, defect rates, yield %) upfront so impact is concrete.

INDUSTRY

Industrial Automation

AI that runs the factory floor

IEC 62443OPC-UAISO 13849ATEX

Explore this vertical All industries

$15B

Global Industrial AI market by 2026

45%

Unplanned downtime reduction achieved

99.2%

Visual inspection accuracy achieved

OVERVIEW

The Industrial Automation landscape

Industrial operations generate enormous amounts of sensor data and face chronic inefficiencies in maintenance, quality, and throughput. We build AI and IoT systems that turn operational data into competitive advantage — on the factory floor, in logistics, and across supply chains.

Predictive Maintenance

Sensor-based ML systems that predict equipment failure days in advance, reducing unplanned downtime.

Computer Vision Quality Control

Real-time visual inspection systems that catch defects at line speed with sub-second detection.

CHALLENGES WE SOLVE

Industry-specific problems

Equipment downtime and reactive maintenance costs
Quality control at production speed and scale
Supply chain visibility and disruption response
Operational data fragmented across disparate systems

Regulatory domains we navigate

IEC 62443OPC-UAISO 13849ATEX

WHAT WE BUILD

AI solutions for Industrial Automation

Predictive Maintenance

Sensor-based ML systems that predict equipment failure days in advance, reducing unplanned downtime.

Computer Vision Quality Control

Real-time visual inspection systems that catch defects at line speed with sub-second detection.

Supply Chain Intelligence

AI systems that optimize inventory, routing, and supplier decisions using real-time and predictive data.

Digital Twin Platforms

Virtual replicas of physical assets and processes for simulation, optimization, and monitoring.

CASE EXAMPLES

Real-world outcomes

Predictive Maintenance for Manufacturing Equipment

Problem

Unexpected equipment failures caused unplanned production downtime with no advance warning from existing monitoring.

Solution

Vibration and temperature anomaly detection model deployed on edge hardware, running local inference on sensor streams.

Outcome

Failure events preceded by advance alerts, enabling scheduled maintenance. Unplanned downtime incidents reduced.

Visual Quality Inspection on a Production Line

Problem

Manual quality inspection was creating a bottleneck at production speed with inconsistent results.

Solution

Computer vision defect detection model on edge hardware, classifying products at line speed with sub-second inference.

Outcome

Inspection throughput matched line speed. Detection consistency improved over manual inspection.

Energy Optimization for a Smart Facility

Problem

HVAC and lighting ran on fixed schedules regardless of actual occupancy — significant energy waste.

Solution

Occupancy prediction model on edge hardware controlling building systems based on real-time sensor inference.

Outcome

Energy consumption reduced during low-occupancy periods. No infrastructure replacement required.

RESULTS

Outcomes from the field

45%

Unplanned downtime reduction

99.2%

Defect detection accuracy

30%

Supply chain cost reduction

ENGAGEMENT FLOW

How we work with Industrial Automation clients

Operational Audit

Understand equipment, sensor data availability, existing SCADA/MES systems, and failure patterns.

Data Pipeline Design

Connect to OPC-UA, MQTT, or proprietary protocols and normalize sensor streams for ML use.

Model Development

Train anomaly detection, classification, or forecasting models on historical operational data.

Edge Deployment

Deploy inference to edge hardware with constraints on compute, memory, and connectivity.

Integration & Commissioning

Connect AI outputs to alerting, control layers, or maintenance workflows. Field validate under real conditions.

IDEAL CLIENTS

Who we work with

Industrial startups modernizing factory or facility operations

Equipment manufacturers adding predictive AI to hardware products

Logistics and supply chain companies with high-volume operational data

Industrial IoT platform companies building AI into their core product

Frequently Asked Questions

Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.

Yes. We build integration layers that connect AI systems to OPC-UA, MQTT, Modbus, and proprietary industrial protocols. We work with your operational technology team throughout the integration.

Clients typically see 20–40% reduction in unplanned downtime within the first year. ROI depends on your equipment cost and failure frequency — we model this during discovery.

Both. Many industrial clients require on-premise or private cloud deployment for security and latency reasons. We design for your infrastructure constraints.

FROM OUR CLIENTS

Built with teams who ship

The team took our AI concept from whiteboard to production in 10 weeks. The architecture they designed handles 10x our expected load with no issues.
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