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Manufacturing

Smart factories start with smart software

We build IoT enabled manufacturing platforms that connect machines, optimize production and predict failures before they happen. Our systems turn raw sensor data into actionable insights on the shop floor.

0%
Reduction in unplanned downtime
0%
Improvement in OEE
0x
Faster root cause analysis
Challenges

What You're Up Against

1

Legacy machine integration

Factory floors run machines from different decades, each with its own protocol and data format. Getting them to talk to a modern platform takes serious integration work.

2

Real time production monitoring

Knowing what is happening on the factory floor right now, not after the shift ends. Latency kills the value of monitoring for most systems.

3

Supply chain visibility

When a supplier is late or a part is defective, you need to know immediately and adapt. Most manufacturers find out too late and scramble to fix production schedules.

4

Quality control at scale

Manual inspection catches maybe 80% of defects. The remaining 20% reach customers and cost real money. Automated visual inspection needs domain specific training data.

Solutions

How We Solve It

IoT sensor integration

Connect machines from any manufacturer using standard protocols like OPC UA and MQTT. Edge computing for local processing, cloud for analytics.

Predictive maintenance systems

ML models trained on vibration, temperature and operational data to predict failures weeks in advance. Reduce unplanned downtime by 30 to 50%.

Digital twin simulations

Virtual replicas of production lines for testing changes, training operators and optimizing throughput without risking real production.

Supply chain analytics

Real time dashboards tracking supplier performance, material availability and logistics bottlenecks. Alerts before small problems become big ones.

Capabilities

Our Manufacturing Expertise

AI/MLCloudSecurityUX DesignDevOpsData
Domain Knowledge92%
Technical Depth88%
Compliance Expertise85%
Scalability90%
Time to Market87%
Process

How We Work

1

Floor assessment

Survey every machine, protocol and data source on the factory floor. Build a complete map of the current state.

2

Edge architecture

Design edge gateways and cloud pipeline for reliable data collection, even when machines speak different languages.

3

Build and calibrate

Deploy sensors, train models on real operational data and validate against actual failure modes, not synthetic scenarios.

4

Deploy and iterate

Roll out floor by floor with operator feedback loops. Models improve as more data comes in.

Case Study

Real Results

Predictive maintenance platform for an automotive parts manufacturer

Unplanned downtime dropped 40% in the first year. Maintenance costs went down 25% and production throughput improved by 12%.

7 months
Technologies

Tools We Use

RustPythonAzure IoT HubTimescaleDBGrafanaMQTTReact

Ready to build in manufacturing?

Let's talk about your specific challenges and how we can help.

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