Who We Serve

Enabling the Operational Edge

We provide development and integration services to independent software vendors (ISVs) and edge-device OEMs working at the operational edge of the networked enterprise. Our proven software framework for edge-to-cloud analytics adds smart, connected capabilities to your product or service.

We work with your product development team, including product managers, data scientists, and IT deployment professionals to decrease risk and accelerate time-to-market.

Where does this show up?

Markets We Serve

Smart Industry

The IoT and edge analytics are helping industrial companies optimize performance, increase uptime and leverage innovative manufacturing and business processes.  Applications include:

  • Adaptive Automation
  • Predictive Maintenance
  • Connected Field Service
  • Autonomous Machines
  • Intelligent Video Monitoring

Operational Areas

Manufacturing.  Automated production systems using advanced robotics increasingly communicate with each other on detailed aspects of production, joining up previously fragmented manufacturing processes.

Mining and Construction.  Autonomous trucks, drills, and trains are increasing efficiency and improving safety.  Intelligent imaging and sensor systems vastly improve abilities in site exploitation and monitoring.

Oil and Gas. Streaming analytics for decision support and automation optimizes upstream exploration and production to refining and logistics, trading, downstream fuels, and marketing.

Smart Cities

The IoT and edge analytics are helping industrial municipalities obtain context-aware, location-based data about the city’s environment, infrastructure, and activity.  This allows cities to improve infrastructure and make existing infrastructure more scalable; deliver more efficient and cost-effective municipal city services; and enhance public transportation, reduce traffic congestion, and improve quality of life. Applications include:

  • Building Automation
  • Intelligent Video Surveillance
  • Predictive Crowd and Traffic Management
  • Predictive Infrastructure Maintenance

Operational Areas

Smart Buildings and Infrastructure.  Monitoring buildings and other city infrastructure creates operational efficiencies and new innovative solutions.

Intelligent Transportation Systems.  Equipping intelligent highways with warning messages and diversions according to climate conditions and unexpected events like accidents or traffic jams.  Monitoring of vehicles and pedestrian levels to optimize driving and walking routes.

Smart Utilities. Enabling cities with smart meters and electrical energy production data to increase efficiency and energy quality.  Intelligent and weather adaptive lighting in street lights.

Smart Supply Chain

The IoT and edge analytics are helping supply-chain firms manage complexity and cost structure in operational areas such as inventory management, forecasting, and transportation logistics.

Applications include:

  • Supply Chain Traceability
  • Forecasting and Planning
  • Autonomous Materials Handling
  • Intelligent Fulfillment
  • Context-Aware Retail Actions
  • End-to-end Transactional Security (Blockchain)

Operational Areas

Transportation Logistics.  Monitoring of storage conditions along the supply chain and product tracking for traceability minimizes waste and improves agility.

Warehousing and Distribution.  Intelligent fulfillment solutions support iterative planning and execution, resulting in reduced inventory levels and more agile operations. Sensor-guided and autonomous materials-handling platforms are increasing efficiency and personnel safety.

Sales and Operations Planning (S&OP). Predictive analytics based on end-to-end supply chain monitoring provides agility and insight for S&OP.  Video analytics and location-based sensors provide traffic flow analytics and customer heuristics, enabling context-aware information flow to shoppers.

Professionals We Work With

Data Scientists and DevOps Teams

We understand the data science and DevOps workflow.  Our data scientists and enterprise architects are experts in prevailing PaaS services, including Spark, Kafka, SQL/NoSQL, and vendor-specific tools such as Azure Streaming Analytics.  We start with feature selection and algorithm identification, then help instantiate your machine learning and AI vision using tools like TensorFlow, SciKit-Learn, H2O, and CNTK.

We can also help you architect and develop distributed machine learning and AI algorithms that deploy to edge devices, using modern container technologies such as Docker.

Embedded System Developers

Our embedded systems team has decades of experience designing and deploying deep-embedded solutions on modern heterogeneous SoC platforms.  We understand the intricacies of hardware-software partitioning, kernel drivers, and operating system tuning.  We can integrate custom video solutions and ISPs using direct video capture through MIPI-CSI2.

Our embedded-container framework provides seamless integration of edge-to-cloud analytics – allowing your development team to focus on real-time data acquisition and control elements.

We have extensive expertise with NVIDIA Jetson embedded processors, as well as Intel, Qualcomm, and Texas Instruments SoCs.

Edge-Device OEMs

We can design and prototype your custom hardware subsystem and refer you to our manufacturing-partner network for product lifecycle fulfillment.

For low/mid-volume needs, we make extensive use of available System-on-Modules (SOMs) such as NVIDIA Jetson TX2 to lower your development costs, decrease risk, and accelerate time-to-market.