When One-Size-Fits-All Doesn't Fit
Your industrial operation is unique.
It consists of many interrelated systems both in the field and office. The most successful companies unify critical data and analytics across all those systems, enabling their people to make fast, informed decisions.
Unfortunately, most solutions struggle to integrate all essential systems and fail to scale when additional capabilities are needed.
01
Equipment insight in seconds, not days or hours
Get real-time insight on your critical systems all in one place. Make informed decisions quickly instead of wasting time manually combining and analyzing data from multiple sources.
03
Scale quickly by owning the solution
Integrate new equipment and sensors regardless of make, model or version. Add functionality without reliance on a platform vendor, while keeping sensitive data secure.
02
Equipment that speaks your business language
Sync equipment health status with your maintenance apps to provide your techs with immediate alerts and automatically create work orders.
See your equipment's current cost per unit output.
04
Automate
Enhance system performance by enabling automated responses to previously inaccessible information. Embed automation logic and AI at the edge where it's most effective.
Services
According to Beecham Research, 74% of IoT projects are considered unsuccessful.
Inadequate IoT expertise, poorly defined business goals, and insufficient support from the organization are the main reasons for failure. Many collapse after the pilot stage because the solution isn't designed to be scalable.
We are here to assist you in avoiding these frequent stumbling blocks.
Assessment
Assess if IoT is the best solution for you and whether it is financially viable.
Strategic Planning
Create a plan for IoT and analytics that aligns with corporate strategy and scales for future needs.
Implementation
Manage IoT projects from start to finish with access to a vast network of IoT solution providers.
Projects
Frac Fleet Optimization
$20M
in reduced costs
26
systems connected
1000
measurements per second
Machine learning deployed to reduce component wear
Predictive maintenance
Edge condition monitoring
Full analytics suite
Built on Microsoft Azure
Gas Turbine Monitoring
$8M
annual saving
6
makes/models supported
Real-time edge monitoring of 6MW - 30MW turbines
Emissions and fuel consumption reporting
Excessive vibration alerting
Ambient temperature and humidity effects modeling
About: Arden Albert
I have over twenty years' experience developing new technologies and ensuring their success in the field. The last eight years have been dedicated to building IoT strategies and systems that help companies extract every possible cent from their equipment investments.
I believe technology projects must align with corporate strategy and quickly deliver quality results. Strong teamwork, communication and a customer focus are some of the skills I use to ensure my clients are successful.
Outside of work, I play hockey, explore local rivers by canoe with my wife and daughters, and experiment with IoT systems at home.
