Intelligent systems for the design, architecture, simulation, runtime, monitoring and management of full-stack IoT applications
Organizations of all sizes are discovering that measuring, automating and visualizing almost every aspect of the enterprise amounts to orders of magnitude greater efficiencies. Looking ahead, the data inherent in process automation is foundational to utilizing machine learning.
However, to date, this has been the domain of those that can afford to develop complex enterprise computing initiatives.
The technology that enables accessibility, visualization and utilization of data is advancing rapidly, but there is an important part of the infrastructure that is preventing solutions from being able to scale.
THE NEXT GENERATION
Historically data-driven process automation has proven expensive and difficult to develop and manage. The underlying reason is simply that these systems have almost universally been hand-coded on ad-hoc frameworks by legions of specialized programmers.
This means every node, on every connected device and database requires someone to program it and connect it all together across the whole stack encompassing logic, data storage and resolution of complex interconnectivity as a one-off solution installed by techs on location, one device at a time. This is simply not scalable, reliable or efficient.
APPLICATIONS: In the simplest terms, data that has previously been siloed in proprietary controls systems can be visualized on dashboards, effectively unifying controls. The value goes further, as the broad availability of data also enables the insights and efficiencies of machine learning, and process automation.
Rather than hand-coding from a wide range of frame works, development environments and languages, we have developed systems that generate a reliable code base that spans the whole stack.
Arica begins by defining architecture and essential requirements in a virtualized modeling environment. This allows for simulation and testing before building and installing hardware and gives an opportunity to test a host of options that impact cost and performance. As the code is generated, the complex but often repetitive issues of interoperability between devices, data types and applications have been solved and automated. Global system updates can be made in a fraction of the time required to hand-code.
Installation, maintenance and updates are all streamlined and become orders of magnitude more reliable.
ENVISION AND PLAN
MANAGE AND OPTIMIZE
SYSTEMS DESIGN AND MODELING ENVIRONMENT WITH SIMULATIONS
scales to thousands of edge devices
acts as a local hub for connectivity and telemetry
Virtualization of sensors
analog to digital
Localized Data and Computing
Centralized Data and Analytics
EXCEPTIONS + ANOMALIES
Arica provides low-code infrastructure solutions for applications that sense, decide, learn and act at the edge. The technology addresses requirements for applications which have low tolerance for latency, where data transfer represents security risk and where autonomy is essential.
Arica enables businesses to bring sophisticated IoT applications to market sooner and to evolve faster, resulting in increased revenue with reduced risk.
There are few global standards for data. Interoperability is not in any way trivial. With thousands of device types, over a dozen communication protocols, multiple operating systems, innumerable storage options and numerous competing frameworks, interoperability is the biggest reason for IoT initiatives to fail or be abandoned. We are solving this problem with intelligent API mapping, translating how device types, protocols and applications interoperate.
We are currently working on a number of vertical-market solutions in the areas of Agriculture, Hydroponics and Building Management. We are consulting with Systems Integrator partners on low-code platform solutions. If you have a question, or would like to start a conversation, please get in touch.
We are currently engaging with select partners on market applications and discussing possible partnerships.