For decades, electronics design teams have lived with tradeoffs: better, more optimized designs take more time, and faster delivery limits exploration, optimization, and quality.

The triangle isn’t a law of nature, it’s a consequence of manual and time-consuming design processes:

System architecture development: Deciding what functional blocks will be needed to meet the system’s requirements and how these functional blocks will relate to each other.

‍Major component selection: Choosing key components ensuring compatibility with the sum total of other components being chosen.

‍Circuit design: Designing functional circuits by researching components, exhaustively interpreting datasheet specs, mapping interfaces, performing pin assignments, sizing passives, calculating electrical responses, and ensuring accurate ancillary components like pull-ups, pull-downs, decoupling etc.

While eCAD tools are critical to the design process, they are really drafting tools – for documenting decisions after they’re made. Decisions that require significant time for research, planning, and engineering calculations.

Today, AI powers a new kind of design tool: an electronics design intelligence system. Automation handles much of the manual grunt work, but with vastly more scale and speed – exploring trillions of possible design combinations in minutes – to help generate and validate optimized circuit design choices in a fraction of the time.

‍Below are measurable results that demonstrate how AI breaks the engineering triangle for electronics design.