femtoAI

AI AcceleratorSparse Processing Unit (SPU)We’ve built our first-generation hardware platform to achieve the efficiency of an ASIC, while retaining the flexibility of a general purpose accelerator.The SPU is easy to program, easy to simulate, and easy to deploy, allowing engineers and product managers to get innovative, class-leading products to market quicker.Efficient 10x larger models| 100x

AI ModelsProduction-Ready AI ModelsWe've trained a collection of models that are optimized to deliver production-grade performance at unparalleled efficiency, especially when coupled with the SPU.You can directly deploy them to unlock the power of intelligence in your products.Pre-Trained Trained on diversified datasets so you can deploy to production with confidence. Pre-Optimized Pruned to a tiny

ApplicationsYour browser does not support the video tag.AI Noise Reduction for Hearables Features Improves speech intelligibility Control the amount of noise passthrough Reduces noise exposure paired with ANC Low- latency and low power models available Advantages Speech quality and naturalness Ultra-low latency All day battery life Compact and cost effective Enable Smart on-device AINR Our

ProductsEmbedded AI PlatformHarnessing the full advantage of sparsity requires both sparse AI models and sparsity-aware silicon.Unlike approaches that focus on one element, Femtosense offers a full-stack solution that works together harmoniously.Ready-to-Deploy ModelsPre-trained & pre-optimized, ready for deploymentSoftware Development Kit (SDK)Create custom applications with familiar toolsSparse Processing Unit (SPU)Unique AI accelerator inspired by neuromorphic computing concepts

Emerging AI processing technology developed by Femtosense will bring hearing aids to the level of performance, compact form factor, and ultimately, cost required for mass adoption of hearing aids.

The Physical AI Imperative The “ChatGPT moment” of 2022 ushered in an era where consumers and businesses expect every device to be intelligent, responsive, and conversational. But there’s a fundamental mismatch between this expectation and reality — and the gap shows up everywhere. Smart glasses need always-on speech recognition for commands, translation, and context-aware assistance—without

The squeeze Voice is a natural human interface now found in products ranging from appliances and wearables to industrial equipment. Most of them rely on deep neural networks (DNNs) to recognize commands, trigger wake words, and separate speech from noise. These systems often integrate multiple models, audio frontends, classifiers, and post-processing logic, all of which

Introduction Portable intelligent devices are already ubiquitous, and they are rapidly becoming more capable. AI workloads that once required the cloud can now execute directly where data is generated, within ultra-low-power budgets, fast response times, and increasingly constrained form factors. These growing capabilities are driving growing demand. Smart glasses exemplify this shift with sales increasing

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ABOV and femtoAI to lead edge inference into the future with new 5 year deal

femtoAI’s Dual Sparsity Delivers 100X Power & Energy Gains, 10X Less Memory for Customers Including Samsung, Marshall SAN BRUNO, Calif. – July 22, 2026 – femtoAI, a leading AI inference platform and creator of the Sparse Processing Unit (SPU), today announced 5X growth in 1H 2026, driven by engagements with Samsung and Marshall, new customer

CareersWhy femtoAIJoin a small, ambitious team revolutionizing embedded AI at femtoAI!Pioneering Embedded AI with Cutting-Edge TechnologyWe’re delivering state-of-the-art deep learning solutions on our innovative Sparse Processing Unit (SPU) platform, pushing the limits of performance and efficiency. As a leading startup in embedded AI, we’re redefining what’s possible in a wide variety of everyday devices like earbuds, cameras,

As an Embedded Systems Engineer at femtoAI, you’ll develop the firmware that powers our novel Sparse Processing Unit (SPU) and system-on-chip platforms. You’ll work on RISC-V management processors, create firmware infrastructure, and translate customer feedback into production-ready enhancements. From designing file formats and CI systems to collaborating on PCB reviews and experimental demos, you’ll play a critical role in bringing our cutting-edge AI edge chips to life.

CareersWhy femtoAIJoin a small, ambitious team revolutionizing embedded AI at femtoAI!Pioneering Embedded AI with Cutting-Edge TechnologyWe’re delivering state-of-the-art deep learning solutions on our innovative Sparse Processing Unit (SPU) platform, pushing the limits of performance and efficiency. As a leading startup in embedded AI, we’re redefining what’s possible in a wide variety of everyday devices like earbuds, cameras,

About UsOur StoryHeadquartered in Silicon Valley, femtoAI—formerly known as Femtosense—was founded in 2018 by researchers from the Brains in Silicon Lab at Stanford University. Our technology takes inspiration from the principles of neuromorphic computing such as sparsity to empower intelligence in everyday devices. We pioneered a high-performance AI accelerator integrated with an end-to-end embedded AI

About UsOur StoryHeadquartered in Silicon Valley, femtoAI—formerly known as Femtosense—was founded in 2018 by researchers from the Brains in Silicon Lab at Stanford University. Our technology takes inspiration from the principles of neuromorphic computing such as sparsity to empower intelligence in everyday devices. We pioneered a high-performance AI accelerator integrated with an end-to-end embedded AI

Embedded AI platform built upon a unique AI accelerator capable of delivering higher performance at lower latency, using less energy in smaller silicon.

Embedded AI platform built upon a unique AI accelerator capable of delivering higher performance at lower latency, using less energy in smaller silicon.

Introduction This Privacy Policy explains how FEMTOSENSE collects, uses, stores, and discloses your personal data. Collection of Personal Data We collect personal data from you when you: Visit our website Sign up for our newsletter Make a purchase from us Contact us for customer support The personal data we collect may include your name, email

Introduction This Privacy Policy explains how FEMTOSENSE collects, uses, stores, and discloses your personal data. Collection of Personal Data We collect personal data from you when you: Visit our website Sign up for our newsletter Make a purchase from us Contact us for customer support The personal data we collect may include your name, email

End-User License Agreement ("Agreement") Last updated: May 13, 2024 Please read this End-User License Agreement for Femtosense Software Development Kits (SDKs) carefully before downloading or using the Femtosense software femtocrux, femtodriver, femtoflow, or fmot and their associated documentation. Interpretation and Definitions Interpretation The words of which the initial letter is capitalized have meanings defined under

femtoAI Responsible Minerals Sourcing Policy 1. Purpose & Scope femtoAI is committed to conducting business in a socially responsible and ethical manner. We support the global effort to eliminate human rights abuses, child labor, and financing of armed conflicts in the supply chain of critical and conflict minerals. This policy applies to all proprietary semiconductor

femtoAI Standard Terms and Conditions Feb-2-2026Download

Embedded AI platform built upon a unique AI accelerator capable of delivering higher performance at lower latency, using less energy in smaller silicon.

Embedded AI platform built upon a unique AI accelerator capable of delivering higher performance at lower latency, using less energy in smaller silicon.

femtoAI reports 5X growth in the first half of 2026, driven by customer engagements around its full-stack sparse edge AI inference platform and Sparse Processing Unit. The announcement presents the platform and unit as the focus of those engagements, but gives no further details about the customers or how growth is measured.

Jul 2026 · PR NewswireNews article

The piece analyzes femtoAI’s sparse-silicon approach to running AI inference efficiently at the extreme edge.

Jun 2026 · The ThesisNews article

femtoAI and ABOV Semiconductor expand their partnership to deliver ultra-efficient edge AI for consumer electronics. Their approach uses sparse processing.

Feb 2026 · PR NewswireNews article

Hearing Health Matters discussed NewSound hearing products that feature Femtosense edge AI technology.

Mar 2025 · Hearing Health Technology MattersNews article