Always-on Time Series Data AI Analysis for Industrial Applications

Using time series data from audio, vibration, or accelerometer sensors for determining preventative maintenance or impending failure of a system is a well-understood principle. However, implementation with limited local power, remote or harsh environments, slow or poor connectivity and robust form factor requirements make adding AI to industrial applications a challenge. Yet adding real-time localized AI decision-making can save significant unscheduled downtime and drive greater process efficiencies. For industrial edge AI, analog computing which draws inspiration from the evolution of brain power, is a compelling solution, providing ultra-low power, small physical form factor and real-time localized decision-making support via low latency inferencing. Blumind is the leader in all analog edge AI with its AMPL™ technology.

Latest news

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April 08, 2025
April 08, 2025
Blumind Secures Series A Funding to Accelerate Analog AI Revolution

Ottawa, Canada, April 8, 2025 – Blumind, a pioneering developer of ultra-low-po…

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March 31, 2025
March 31, 2025
Blumind reimagines AI processing with breakthrough analog chip

Toronto-based Blumind Inc. is making waves in the semiconductor world with a bol…