Intelligent Systems

Where computation meets the physical device.

As conventional scaling slows, performance increasingly comes from new architectures, materials, and interconnects. SPARK works at the boundary of computation and physical implementation, from signal integrity to novel device and interconnect concepts.

Solutions

  1. 01Architecture feasibility
  2. 02Signal-integrity analysis
  3. 03Prototype test plan

Focus areas

  • 01Alternative computing architectures
  • 02Interconnect and signal integrity
  • 03Material response in devices
  • 04Hardware-software co-design
  • 05Measurement and test systems

Why it matters

Semiconductors, Photonics & Computing Hardware

The next gains in computing will come from new architectures and physical implementations as much as from smaller transistors.

Built for

  • Semiconductor and photonics companies
  • Hardware research laboratories
  • Electronics manufacturers
  • Defense electronics programs

Applications

  • Alternative computing architectures
  • High-speed interconnects
  • Device characterization
  • Hardware test systems
INPUTENGINERESULT
Illustration.

Solutions

How SPARK helps.

Every engagement is scoped to your question, your data, and the decision it supports.

  1. 01

    Architecture feasibility

    Map a computational task onto candidate hardware pathways and identify the real constraints.

  2. 02

    Signal-integrity analysis

    Characterize timing, noise, and integrity in high-speed or unconventional interconnects.

  3. 03

    Prototype test plan

    Define the measurements and fixtures that prove a device concept works.

Next step

Put SPARK on your hardest problem.

Tell us what you need to know and the data you have. We'll scope the fastest path to a decision-ready answer, under NDA where required.

Talk to SPARKEngagement Models