Artificial Intelligence and Design Methodologies

We utilize best-of-breed artificial intelligence object-oriented design platforms and design methodologies that not only graphically depict the operating environment but also prognosticate alert the human or autonomous controllers of system health issues that need correction.

Intelligent Autonomous System Architecture

We employ a unique intelligent autonomous system architecture that provides true autonomy in many of our mission critical applications. This enables a system to achieve goals while operating independently of external control and requires self-directedness and self-sufficiency.

Big Data Analytics

We give you access to the experience, the intelligent software tools, and the resources to help your business identify and apply the technology that works best for you. Big Data Analytics helps organizations harness their data and use it to identify new opportunities. There is no single technology that encompasses Big Data Analytics. In reality, several types of technology work together to help you get the most value from your information.

Agile Development Methods

All our software projects follow proven Agile development methods. We have honed these methods, and they comprise various approaches to software development under which requirements and solutions evolve through the collaborative effort between self-organizing and cross-functional development teams and our customers. This results in adaptive planning, evolutionary development, early delivery, continual improvement, and rapid flexible response to change.

Prognostic Health Management

Monitoring system health and predicting future degradation – Prognostic Health Management – is a fundamental element of every AI/ML development project.

Machine & Deep Learning Applications

Decision Trees and Neural Networks are just two software algorithms we provide for Machine & Deep Learning applications in the Aerospace and Chemical Processing industries. We create applications that facilitate timely alarm management and process controls.

Digital Twin Technology

Building on the salient features of Digital Twin Technology as originally introduced by Dr. Michael Grieves at the University of Michigan in 2002, our digital twin is a virtual digital replica of a physical entity. By bridging the physical and the virtual world, data is transmitted seamlessly allowing the virtual entity to exist simultaneously with the physical entity. The Digital Twin emphasizes two important characteristics: the connections between the physical model and the corresponding virtual model, and the real-time data connections.

Industrial IoT (IIoT)

The Potential for growth from implementing IoT has been estimated to generate $12 trillion of global GDP by 2030. We can help to drive growth of companies in the manufacturing and industrial spheres by implementing Industrial IoT (IIoT). We utilize detailed, data-driven technologies to enhance the organization’s system of interrelated computing devices, mechanical and digital machines, objects, or people, providing them with the ability to transfer information over a network without requiring human-human or human-computer interaction. We are excited about this growing technology that is expected to lead to the Fourth Industrial Revolution, also referred to as Industry 4.0.

Contact Information

1800 Diagonal Rd, Ste. 600

Alexandria, VA 22314