Edge Impulse
Edge Impulse provides an end-to-end Edge AI MLOps platform enabling developers to build, train, and deploy machine learning models on microcontrollers, NPUs, CPUs, and GPUs. Acquired by Qualcomm in March 2025, it serves industrial, healthcare, wearables, and IoT enterprises worldwide.
- Company typePrivate
- Founded2019
- HeadquartersSan Jose, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Edge Impulse does
Edge Impulse provides an end-to-end Edge AI MLOps platform that enables developers and enterprises to build datasets, train machine learning models, optimize libraries, and deploy directly to edge hardware ranging from resource-constrained microcontrollers to gateways equipped with the latest neural accelerators. Its core technology stack encompasses data acquisition and labeling for sensor inputs, digital signal processing and feature engineering, model training, quantization and pruning-based optimization, and SDK-based deployment to MCUs, NPUs, CPUs, GPUs, gateways, sensors, cameras, and Docker containers. The platform supports multimodal AI including computer vision (via a dedicated Visual Inspection Suite), audio and keyword spotting, anomaly detection, and predictive maintenance, and is differentiated by native integrations with more than 50 hardware partners including Qualcomm, NVIDIA, Arduino, Nordic Semiconductor, STMicroelectronics, NXP, Renesas, and Microchip. As of March 2025 the platform had engaged 170,000+ developers who had created 450,000+ unique ML projects.
The company operates a hybrid go-to-market combining product-led growth (a free developer tier with self-serve signup at studio.edgeimpulse.com), community-led adoption (developer forums, Imagine Innovators events, student and educator programs), and enterprise sales with channel partners. Its monetization rests on quote-based enterprise subscriptions priced by compute minutes, deployed devices, and authorized users, complemented by professional services and premium support packages carrying a 99.5% monthly uptime SLA. Named enterprise customers include Chamberlain (consumer hardware), Halma (safety and environmental monitoring), Polar (fitness wearables), Ultrahuman (health wearables), and Hyfe (AI-powered cough detection), spanning manufacturing, healthcare, wearables, transportation, consumer electronics, buildings, and infrastructure verticals.
Edge Impulse was founded in 2019, raised approximately $54.4 million across seed, Series A, and Series B rounds between 2020 and 2021 at a post-Series B valuation of $234 million, and was acquired by Qualcomm Technologies in March 2025. It now operates as a wholly-owned subsidiary integrated into Qualcomm's Dragonwing IoT and edge AI portfolio, with post-acquisition partnerships with Advantech, Silex Technology, Softeq, Innodisk, and a deepened Arduino integration indicating continued ecosystem expansion under the parent company's distribution umbrella.
Edge Impulse firmographics
Firmographics- Name
- Edge Impulse
- Legal name
- EdgeImpulse Inc.
- Website
- https://edgeimpulse.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Edge Impulse provides an end-to-end Edge AI MLOps platform enabling developers to build, train, and deploy machine learning models on microcontrollers, NPUs, CPUs, and GPUs. Acquired by Qualcomm in March 2025, it serves industrial, healthcare, wearables, and IoT enterprises worldwide.
- Ownership category
- akta.pro rank
Edge Impulse industry classification
Industry- Product category
- Edge AI MLOps Platform
- NAICS
- Computer Systems Design Services (541512), Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Edge AI Deployment, Orchestration & OTA Model Updates (HDAAAJAI)
- akta.pro secondary industries
- Edge AI Hardware & NPUs (SoCs, modules, accelerators) (HDAAAJAC), Real-Time Vision at the Edge (on-device CV/video) (HDAAAJAE), Edge AI Benchmarking, Profiling & Monitoring (device telemetry, drift) (HDAAAJAJ), Edge Orchestration & Management Platforms (Provisioning, Fleet Mgmt) (HDABAOAF)
Keywords
Where Edge Impulse is headquartered
LocationHeadquarters
- HQ city
- San Jose
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Edge Impulse business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Enterprise Subscriptions: Subscription-based SaaS model with enterprise licensing for production deployments. Enterprise Terms of Service documents subscription tiers with compute minutes, deployed devices, and authorized user allocations. Pricing based on usage metrics including projects, compute minutes, and deployed devices.
- Professional Services and Support: Premium support packages and solutions engineering hours available as add-ons to subscription plans. Premium Support provides dedicated solutions engineer hours delivered monthly.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free Developer Plan for individual developers and hobbyists |
| Subscription | Annual | Enterprise subscription with full platform access and support |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels8 records
Edge Impulse product offering
Product offeringCore offering
Edge Impulse provides an end-to-end Edge AI MLOps platform that enables developers and enterprises to build datasets, train machine learning models, optimize them, and deploy directly onto edge hardware ranging from microcontrollers and NPUs to CPUs, GPUs, gateways, sensors, cameras, and Docker containers. The platform is complemented by the Visual Inspection Suite for computer vision quality control and is sold via a free developer tier plus enterprise subscriptions, with Qualcomm ownership extending reach across IoT and industrial markets.
Product overview
Edge Impulse offers a unified edge AI development platform consisting of the Edge AI MLOps Platform as the core product, complemented by the Visual Inspection Suite for computer vision applications, and BrickML as a reference design. The platform enables developers to build datasets, train models, optimize libraries, and deploy directly to any edge device from smallest microcontrollers to gateways with neural accelerators. Edge Impulse was acquired by Qualcomm in March 2025 and operates as a Qualcomm company, integrating with Arduino, Qualcomm, and NVIDIA hardware ecosystems.
Differentiator
Problem solved
Functional benefit
Brands
- Edge AI MLOps Platform: The core platform for building, training, and deploying machine learning models on edge devices
- Visual Inspection Suite
Products and services
- Edge AI MLOps Platform End-to-end software platform that enables developers and enterprises to build datasets, train machine learning models, optimize libraries, and deploy them directly onto edge hardware ranging from microcontrollers to gateways with neural accelerators. Sold via free and enterprise tiers to embedded engineers, product teams, and enterprises.
- Visual Inspection Suite Specialized computer vision solution for quality inspection, defect detection, and visual anomaly detection on manufacturing lines and other edge environments. Targets industrial and manufacturing customers needing automated visual inspection without cloud connectivity.
- BrickML Reference Design Pre-configured reference design for embedded machine learning deployment that enables quick-start implementations on optimized hardware configurations. Sold as a ready-to-deploy template for TinyML projects on resource-constrained edge devices.
- Edge Impulse Expert Network Paid expert-led trials and professional support services that provide guided onboarding, project assistance, and solutions engineering hours for organizations implementing edge AI solutions. Includes premium support packages delivered by dedicated solutions engineers.
Quantifiable outcome
- Platform processes data from smallest microcontrollers to gateways with latest neural accelerators
- +1 more outcomes
Companies that use Edge Impulse
Customer profileNamed customers5 records
Segments7 records
Ideal customer profiles3 records
Edge Impulse technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability10 records
Feature6 records
Edge Impulse partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered supporting, major and core.
- InnodisksupportingInnodisk integrating Edge Impulse's MLOps platform with its five-layer edge AI ecosystem spanning compute, memory, storage, sensing and communication layers. Integration enables enterprise and industrial customers to deploy AI models within Innodisk's infrastructure.
- Silex TechnologymajorCollaboration announced April 2026 to deliver edge AI solutions on Silex's EP-200Q System-on-Module powered by Qualcomm QCS6490, targeting industrial automation and healthcare markets in the US and Japan. Joint solutions to be demonstrated at Japan IT Week.
- SofteqsupportingCollaboration to help product teams build intelligent, production-ready devices by combining Edge Impulse's platform with Softeq's expertise in embedded systems, IoT, firmware, and AI/ML development for consumer electronics, industrial, healthcare, energy, and automotive sectors.
- AdvantechmajorStrategic collaboration announced October 2025 to integrate Edge Impulse's AI development tools into Advantech's edge computing platforms. Partnership aims to lower AI development barriers and enable enterprises to quickly build, deploy, and scale AI projects at the edge across manufacturing, healthcare, logistics, and smart city applications.
- QualcommcoreQualcomm completed acquisition of Edge Impulse in March 2025, integrating Edge Impulse's ML development platform with Qualcomm's Dragonwing processor portfolio for IoT and edge AI applications. Edge Impulse operates as a wholly-owned subsidiary under Qualcomm Technologies, Inc.
- ArduinocoreDeep integration between Arduino platforms (including VENTUNO Q) and Edge Impulse for embedded AI development. Arduino App Lab includes native Edge Impulse integration for guided model training and deployment workflows.
- NVIDIAcoreIntegration partnerships for deploying ML models to NVIDIA edge platforms including Jetson and other AI-accelerated hardware. Enables optimized deployment for robotics and autonomous systems applications.
- Nordic SemiconductorsupportingIntegration enabling deployment of Edge Impulse ML models to Nordic Semiconductor's low-power wireless MCUs for IoT applications.
- STMicroelectronicssupportingIntegration for deploying ML models to STM32 microcontrollers and sensors for industrial and consumer IoT applications.
- NXP SemiconductorssupportingIntegration for deploying ML models to NXP's i.MX and LPC microcontroller families for edge AI applications.
- Renesas ElectronicssupportingIntegration for deploying ML models to Renesas microcontrollers and AI processors for industrial and embedded applications.
- Microchip TechnologysupportingIntegration for deploying ML models to Microchip's PIC and AVR microcontrollers for IoT and embedded applications.
- AWSsupportingCloud integration enabling hybrid edge-cloud ML workflows and data pipeline connections to AWS IoT services.
- CapgeminisupportingSystems integrator partner providing professional services for enterprise edge AI deployments.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Edge Impulse competitors and assessment
Company assessmentDirect peers
- alwaysAI: alwaysAI offers a computer vision platform for edge deployment with model training, optimization, and fleet management — directly competing with Edge Impulse's Visual Inspection Suite for retail, industrial, and smart city use cases.
- Plumerai: Plumerai provides edge AI inference software optimized for microcontrollers with a focus on computer vision — competing in the same TinyML space as Edge Impulse, particularly for battery-powered vision applications.
- Viso.ai: Viso.ai offers a no-code computer vision platform for edge deployment with model management and analytics — comparable to Edge Impulse's Visual Inspection Suite, targeting similar enterprise customers in industrial and retail.
- SensiML (QuickLogic): SensiML offers an end-to-end edge AI development toolkit for IoT and embedded devices, including data collection, AutoML, and deployment to MCUs — directly comparable to Edge Impulse's TinyML workflow and target market of embedded engineers.
- Latent AI: Latent AI provides an edge AI platform with model compression, quantization, and deployment tools for resource-constrained devices — closely aligned with Edge Impulse's TinyML and model optimization capabilities.
Broad incumbents
- FogHorn (Johnson Controls): FogHorn provides an edge AI platform for industrial IoT with predictive maintenance and anomaly detection, recognized alongside Edge Impulse in AI Magazine's top edge AI list — overlapping in industrial vertical but acquired into a larger building automation portfolio.
- AWS SageMaker Edge: AWS SageMaker Edge provides managed edge ML deployment integrated with the broader AWS cloud ecosystem — competing with Edge Impulse through hyperscaler bundling, particularly for enterprises already standardized on AWS.
Emerging players
- Roboflow: Roboflow provides a computer vision development platform with dataset management, model training, and deployment to edge devices — comparable to Edge Impulse's vision workflow, primarily cloud-based but increasingly edge-focused.
- Deci AI (NVIDIA): Deci AI provides deep learning model optimization and quantization for edge and mobile deployment — acquired by NVIDIA, offering overlapping model optimization capabilities to Edge Impulse with strong NVIDIA hardware integration.
- Neuton.ai: Neuton offers a no-code AutoML platform for TinyML deployments on microcontrollers, directly competing for the same embedded developer audience as Edge Impulse's free developer tier with auto-generated model training.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Edge Impulse social profiles
Digital presenceEdge Impulse financial estimates
Financial estimateRevenue estimate
Valuation estimate
Edge Impulse leadership team
Management profileNumber of profiles
Profiles9 records
Edge Impulse funding detail
Funding detailFunding overview
Funding rounds4 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Edge Impulse M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Edge Impulse
What does Edge Impulse do?
Edge Impulse provides an end-to-end Edge AI MLOps platform that enables developers and enterprises to build datasets, train machine learning models, optimize them, and deploy directly onto edge hardware ranging from microcontrollers and NPUs to CPUs, GPUs, gateways, sensors, cameras, and Docker containers. The platform is complemented by the Visual Inspection Suite for computer vision quality control and is sold via a free developer tier plus enterprise subscriptions, with Qualcomm ownership extending reach across IoT and industrial markets.
Is Edge Impulse a public or private company?
Edge Impulse is a private company. It is classified as corporate owned and is currently operating.
When was Edge Impulse founded?
Edge Impulse was founded in 2019. It employs 101 to 250 people.
Where is Edge Impulse based?
Edge Impulse is headquartered in San Jose, United States, in the North America region.
How does Edge Impulse make money?
Two revenue lines are on record. Enterprise Subscriptions are the primary driver. The others are professional Services and Support.
Who are Edge Impulse's main competitors?
Direct peers on record are alwaysAI, Plumerai, Viso.ai, SensiML (QuickLogic) and Latent AI. Broad incumbents are FogHorn (Johnson Controls) and AWS SageMaker Edge. Emerging players are Roboflow, Deci AI (NVIDIA) and Neuton.ai.
Does Edge Impulse have an API?
Yes. Edge Impulse provides a developer platform with SDK assets (software development kit) that enables developers to build, train, and deploy machine learning models on edge devices. The platform includes Documentation at docs.edgeimpulse.com and provides Edge Impulse SDK Assets as part of its services for model deployment. Developer documentation is at docs.edgeimpulse.com/docs.
What industry is Edge Impulse in?
Edge Impulse's product category is Edge AI MLOps Platform. Its primary akta.pro industry code is HDAAAJAI, Edge AI Deployment, Orchestration & OTA Model Updates, with a secondary code of HDAAAJAC, Edge AI Hardware & NPUs (SoCs, modules, accelerators). Its NAICS code is 541512 and its SIC code is 7373.