About SimuQuest

Background

SimuQuest is an embedded software development and consulting company. Pioneering model-based development practices, SimuQuest has developed a keen sense for innovative and practical solutions towards an agile, efficient software development process.

The company is based in Ann Arbor, Michigan, a place renowned for its rich pool of qualified college graduates. The company employs highly talented engineers with overlapping experience in the following areas:

• Traditional hand-code software development for embedded systems.
• Model-based software development for embedded systems.
• Advanced control system design and plant modeling.

Before SimuQuest was founded in 2001, team members had gained initial experience through the mid and late 90’s in transitioning from embedded software development based on traditional hand-coding to development using a model-based approach.

Over the years, the model-based process was refined and the many benefits of a model-based approach became clear.

This expertise combined with complimentary experience in systems engineering, systems modeling and advanced control system design provided the impetus to create a software development and consulting company that would provide an optimal solution for embedded control systems and software development. Thus SimuQuest was born!

Since its founding, SimuQuest has been dedicated to the continuous refinement of an agile model-based development process for embedded systems, based on the Mathworks tool platform.

Working closely with its customers and providing solutions for their embedded development needs, SimuQuest has identified best practices and core principles for a successful model-based development process. This expertise has been leveraged to complement the Matlab/Simulink tool chain with a set of proprietary tools.

Founders

John Mills and Raymond Turin, the founders of SimuQuest, have accumulated years of experience in the development of control systems and software for embedded systems. Combining their knowledge and expertise, the framework for a significantly improved model-based development process could be established.

This framework along with a set of proprietary tools resulted in a sustainable, agile model-based process which simultaneously solves many of the perennial issues associated with traditional development while also enabling the smooth transition from traditional development to model-based development.

Issues addressed include:

• The seamless transition of control algorithms from R&D across the chasm to production groups.
• The seamless migration from traditional hand-code software development to model-based software development utilizing automatic code generation.
• The ability to develop and test systems in an entirely virtual setting before committing to software and hardware.