Blumind is a Canadian deep-tech startup led by industry visionaries.

Our all-analog AI neural network architecture delivers the most efficient power without compromise. Blumind is doing this using standard cost-effective CMOS process technology, enabling AI for everyone, everywhere.
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Venture LAB

Cutting Edge Technology

All-analog compute is Blumind’s disruptive technology for AI applications.

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High-Performance, Low-Power
Blumind’s AMPL™ technology delivers industry standard inferencing performance but with up to x1000 lower power, with ultra-low latency compared to legacy digital approaches.
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Easy-to-Use
AMPL™ technology delivers a no-compromise easy to deploy solutions using industry standard software tools for always-on applications.
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Better Computing
We use standard CMOS processes, and our architecture minimizes PVT and drift effects. We deliver the accuracy and scale needed for today's leading edge use cases.
Revolutionizing Industries:

Transforming Industries with All-Analog Edge AI

Wearable & Personal Devices

  • Earbuds
  • Smart Glasses  & AR/VR headsets
  • Fitness trackers 
  • Smartwatches
  • Cameras
  • Pointers and mice
  • Tablets
  • Pen input and stylus

Connected Home

  • Remote controls
  • Smart speakers
  • Set-top boxes & smart displays
  • Light switches and power outlets
  • Faucets & toilets
  • Thermostats
  • Blinds, skylights and fans
  • White goods
  • Home gym
  • Smart robots
  • Smoke detectors

Industrial, Agriculture & Medical

  • Process control – vision, vibration & spectroscopy
  • Building control
  • Crop management and fruit ripeness
  • Irrigation, pesticide, fertilizer management
  • Animal wellbeing
  • Hearing aids, fall monitors
  • EKG, heart rate, blood pressure
  • Blood glucose & gases

Safety & Security

  • Intruder detection
  • Crowd management & counting
  • Glass break, splash detection
  • Access control
  • Air quality monitoring
  • Water quality monitoring
  • Occupancy detection

Smart Mobility

  • Smart Tire Classification
  • Rear seat occupant detection
  • Hands free voice interface
  • Gesture and face recognition
  • Driver monitoring
  • Biometric access control
  • Reversing & cross path detection
  • EV battery management

Mil Aero

  • Collision Avoidance in UAV
  • Cameras - Image Analysis 
  • Radar & Sonar - Target identification 
  • LiDAR imaging
  • Night Vision Enhancement 
  • Smart Glasses
  • Voice Interface

Our Products

Blumind offers all-analog solutions including devices, chiplets (KGD), IP and software solutions
Ultra Low Power Devices
Ultra Low Power Devices

Blumind’s always-on ultra-low power, small footprint, low latency and low-cost analog neural signal processors (NSPs) for OEM products

BM110

Always-on Key Word Detection/Audio/Time Series Data

BM210

Always-on Vision, Images, Sensor Fusion with Audio

AMPL IP Chiplets
AMPL™ IP/Chiplets

Blumind’s AMPL™ IP core or chiplet technology can be integrated into ODM products

Low-cost standard CMOS

Silicon proven

Power Performance Area (PPA) optimized

PVT and drift compensated

Software
Software

Production grade models for rapid deployment of always-on classification for Blumind products

No custom complier required. No run-time code.

Simple translation from standard AI training flow to Blumind’s AMPL™ implementation

Solutions
Solutions

Support on data set training and implementation to accelerate AI deployment.

Sustainable AI

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Sustainable AI

Our goal is net-negative emissions. By lowering total system power using an all-analog solution you can add AI functionality and reduce overall power consumption (see our 20x example below). 

Blumind’s products are part of the solution to a sustainable AI future.

Stay in the Loop:

News and Blogs

Designer 5
April 03, 2024
April 03, 2024
Blumind's all-analog AI for Smart Tires

Next generation Smart Tires embrace ultra-low power all-analog AI to support acc…

CIX March 2024
March 22, 2024
March 22, 2024
Blumind to speed pitch at CIX Summit March 27th

Niraj Mathur will present at 2.50 p.m. on March 27th at CIX Elevate Summit at th…