Our mission is to empower executives’ ability to reap more value from technology-led engineering initiatives in less time, with more surety, and less disruption.

We digitally publish research, educational, and advisory insights on technology-led engineering initiatives, enabling better investment and adoption decisions.


Today, there is a variety of technology-led engineering initiatives that can be used to counter emerging challenges in mechanical design. The combination of Generative Design and 3D Printing promises to produce innovative designs never before possible. Agile and Lean methods applied here allow teams to do more with less. Model-Based Definition and Model-Based Enterprise efforts continue to transition of design documentation towards unambiguous annotated 3D models.

The electronic and electrical challenges to developing smart connected products are manyfold. Yet, new technology-led engineering initiatives boldly offers solutions. Applying 3D Printing to circuit boards offers the ability to dramatically reduce the time to produce prototypes and even enable integrated board-enclosure design. Right-by-Design efforts enabled by simulation and analysis has to potential to eliminate respins. System engineering practices and tools provide a means to tame the exploding complexity in electronics and electrical systems.

Embedded software developers face the daunting task of ensuring that an exponentially growing amount of code runs on target electronic hardware and provides the right product control. The good news is that technology-led engineering initiatives offer aid. Model-Based Development supplies a means to progressively verify that software and electronics work cohesively. The democratization of code generation, enabled by Graphical Programming tools, grant non-coders a means to produce embedded software in an automated way.

With an exploding amount of embedded software and electronics, it is increasingly harder to get everything to work together as intended. System Engineering initiatives can ease that pain. Model-Based System Engineering delivers an unambiguous means to document and design, allowing all disciplines to use it a the single source of the truth. The application of Agile methods to system engineering enables organizational flexibility. System Modeling and Simulation digitally predicts the behaviors of systems, reducing failed prototypes.

Integrating smart connected products with the Internet of Things (IoT) era has great potential as well as terrible risk. New technology-led engineering initiatives promise to skirt those hazards. Connecting sensor data to Digital Twins delivers insight into behaviors never before observed. Virtually Prototyping IoT Systems allows organizations to digitally mock up and verify what data they’ll collect and the conclusions they can draw from that data. Closed-Loop Connected Design feeds sensor data back to engineering, where they can improve their designs.


Embedded software is growing exponentially. Electronics complexity is exploding. Mechanical components are skirting safety factors. Streaming data to IoT platforms is now a must-have.

Despite those challenges, development constraints are tightening. Budgets are still shrinking. Schedules continue to get shorter. Hiring is often curtailed.

Designing smart connected products is no easy task. It’s a grueling one.

Given those challenges, many executives know they must design differently.

Technology-Led Engineering Initiatives offer great promise. Such efforts can be incredibly effective, empowering design teams to develop better products on shorter schedules with less resources.

Yet, those benefits are not guaranteed. Such efforts can actually be disruptive. Learning curves, new processes, and cultural pushback can undermine productivity.

All too often, organizations become frozen between opportunity and risk.

Lifecycle Insights digitally publishes research, educational, and advisory insights on technology-led engineering initiatives.

That includes research findings, educational articles, technological forecasts, and publications that serve many purposes. They verify if such efforts deliver value. They help orient yourself amongst the confusing terminology in the industry. They forecast technological advances, revealing their potential or flaws. They offer guidance on the selection and adoption of technologies and initiatives.

Armed with the right insights, executives are enabled to make better investment and adoption decisions.

That translates to pursuing the efforts that will yield the most benefits and deferring, or even ignoring, the others. It means lining up the right mix of skill, role, process, measurement, and technology changes. It translates to rolling out those changes in the right order and timing.

All that, in turn, empowers the organization to reap more value from technology-led engineering initiatives in less time, with more surety, and less disruption