Why Go Digital?
To sustain growth, increase profit margins, and optimize energy consumption, manufacturing leaders are undergoing a total digital overhaul of their IT infrastructures and business processes. Key industry drivers include:
- Skills Shortage (2.4M): A massive gap in the workforce by 2028 necessitates more intuitive, automated systems to maintain production levels.
- Automation Gap (60%): More than half of current manufacturing tasks have the potential for automation, representing a significant opportunity for operational efficiency.
- Equipment Downtime ($100k/hr): With the estimated cost of downtime reaching six figures per hour, predictive reliability is no longer optional.
- Power Consumption (33%): Industrial manufacturing accounts for one-third of total annual energy consumption, making smart, green tech solutions essential for sustainability and cost control.


Robotics
We develop the high-performance embedded software, web, desktop, and mobile applications required to manage and orchestrate industrial robots. Whether working autonomously or as collaborative "cobots" alongside humans, our solutions ensure precision and safety. Our expertise spans:
- Warehouse and fulfillment center automation robotics
- Collaborative robots (Cobots) for shared workspaces
- High-precision robotic arms and specialized end-effectors
Remote Sensing & Edge Intelligence
Resolution7 integrates advanced sensor networks (temperature, motion, pressure, humidity) and vision systems to provide real-time health and inventory monitoring. We leverage a sophisticated technology stack to turn raw data into actionable intelligence:
- Cloud, Fog, and Edge computing architectures for distributed data processing
- Machine Learning-driven data analysis for anomaly detection
- Computer Vision for quality control and spatial awareness
- High-performance front-end dashboards for real-time data visualization
- Low-latency device-to-browser video streaming for remote oversight


Predictive Maintenance
We utilize advanced Machine Learning models to identify hidden patterns within the data generated by connected equipment and disparate factory IT systems. Resolution7 leverages these insights to architect Predictive Maintenance solutions that allow manufacturers to:
- Maximize equipment uptime through proactive intervention
- Drastically reduce maintenance costs (by up to 95%) and avoid catastrophic repairs
- Boost overall production output and asset longevity
- Synchronize maintenance schedules with real-world equipment health data


























