Empowering Innovations
with Blumind's Proprietary Architecture

Unlock the true potential of analog AI compute with Blumind's cutting-edge semiconductor architecture, combining machine learning, precision analog signal processing, and brain-inspired computing.

AMPL™ All-analog
Compute Advantages

Blumind delivers high performance all-analog compute solutions for edge AI using CMOS technology on advanced process nodes. No special processing steps, no specialty memory structures, no technology risks.
Icon 04
Analog AI Innovation
Blumind AMPL™ is a disruptive analog AI compute fabric for micropower artificial intelligence applications.
Icon 05
Precision and Accuracy
Blumind all-analog AI compute delivers deterministic and precise inferencing performance at up to x1000 lower power than our competitors. Delivering higher efficiency and the longest battery life for always-on applications.
Icon 11
Low Latency Solutions
AMPL™ fabric delivers efficient low latency for real-time applications.
Icon 07
Analog Breakthrough
AMPL™ is the first all-analog AI on advanced standard CMOS architected to fundamentally mitigate process, voltage, temperature and drift variations.
Ai bg

Watch the video webinar "Why all-analog compute is vital for edge based neural network processing."

Content opens in a new window. A full screen hi-res version of the video can be found HERE.

Blumind Presentation by CEO Roger Levinson

Blumind’s All-analog Difference

Blumind's AMPL™ core technology is architected to be all-analog from the ground up. Unlike other analog edge AI solutions AMPL™ is efficient, robust and uses CMOS technology on advanced process nodes.
Icon 08
Direct Analog Sensor Input
Icon 08
Standard CMOS Process
Icon 08
Advanced Process Node
Icon 08
Low Latency
Icon 08
Analog Precision
Icon 08
Ultra-low Power
Icon 08
Icon 08
Icon 08
No High Speed Clock
Icon 08
No Added Processing Steps
Icon 08
No Novel Process Technology Modules
Icon 08
Supports Sustainable Solutions

Software and Solutions

The Blumind AMPL™ core used for inferencing takes parameters from
industry standard software flows like PyTorch and TensorFlow

SoC Flow


Custom Solution Flow (Chiplet, IC or IP)

Custom Solution (Chiplet, IC or IP)