As a certified Google Cloud Platform Partner, we apply Google's innovations in machine learning, scalable relational database technology, and our shared dedication to open source to help you swiftly and securely scale your business in the cloud.
Google has recognized our work in implementing solutions related to:
- Google's core infrastructure, data analytics, and machine learning
- Serverless computing from prototype to production
- Real-time data collection, processing, analysis, and visualization
- IoT device integration, connecting the physical world to Google Cloud Platform through Cloud IoT Core
A Cloud-enabled Predictive Maintenance Solution
A large, internationally-recognized HVAC client desired to offer its customers, maintenance providers, and equipment manufacturers a one-stop digital portal to monitor and remedy the performance of its commercial HVAC equipment.
We provided end-to-end software engineering services by architecting and building a secure cloud platform that fulfilled our client’s needs and enabled the company to serve all parties more effectively.
Our Google Cloud Expertise
Cloud Native Architecture
We can help you build scalable web and mobile applications on Google’s open infrastructure. Or, we can containerize your legacy applications to run in a hybrid environment.
We can develop your idea, from prototype to production, or modernize your existing applications to enable scalable, integrated AI capabilities using Google's Machine Learning cloud services.
We can help accelerate your speed to market and manage unpredictable scale requirements by transforming your technology stack with a serverless architecture.
We can help improve the performance of your distributed applications, giving you a stable foundation for stream analytics with unlimited scalability using Google’s Pub/Sub cloud service.
Machine Learning & Cloud Vision For Crop Disease Diagnostics
A global agricultural biotech company needed a way to diagnose and recommend treatment options to farmers facing crop disease. We assisted with the architecture and development of a mobile application that allows farmers to photograph diseased crops and receive accurate diagnostics in near real-time.
The diagnostic process occurs through the use of advanced image analytics powered by machine learning.
“Our clients won’t achieve scalable innovation simply by moving to the cloud. Scalable innovation will only be achieved through strategic use of the cloud. Google Cloud Platform accelerates that journey, affording our clients access to swift, secure, and scalable growth.”
Joe Epplin, Cloud Engineering Lead at Object Computing