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About Edge Impulse

Edge Impulse is an edge AI development platform from Qualcomm that enables developers to create machine learning models for edge devices. It combines data acquisition, automated model training, and deployment capabilities so developers can efficiently implement AI solutions on resource-constrained devices. The platform supports various input types including audio, image, and sensor data, making it versatile for different applications. With Edge Impulse, users can monitor the performance of their models in real-time and iterate on them as needed. Key capabilities: data acquisition model training deployment management performance monitoring multi-platform support Best for: developers and engineers that need to implement AI models for embedded systems and edge applications.

Edge Impulse Details

Vendor
Qualcomm
Year Launched
2019
Location
Edge Impulse, Inc. c/o Qualcomm Incorporated 3195 Kifer Rd. Santa Clara, CA 95051
Deployment
cloud
Training Options
documentation, demo, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Japanese, Chinese, Korean, Russian
Users
Embedded Systems Developers, Machine Learning Engineers, Data Scientists, Product Engineers, IoT Developers, Hardware Engineers, Research Scientists, University Educators, AI/ML Students, Firmware Developers, Robotics Engineers, Innovation Managers, Technical Consultants, Automation Engineers, Solutions Architects
Industries Served
Consumer Electronics, Industrial Automation, Automotive, Healthcare & Medical Devices, Agriculture, Smart Cities, Wearable Technology, Environmental Monitoring, Logistics & Supply Chain, Energy & Utilities, Aerospace & Defense, Robotics, Telecommunications, Education & Research, Manufacturing
Tags
Data Visualization, Edge Impulse.

Edge Impulse's In-App Market Place

Does Edge Impulse have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), KRW (₩), INR (₹), RUB (₽), BRL (R$), MXN ($), SGD ($), TRY (₺), ZAR (R), NZD ($), HKD ($)

Pros & Cons

  • Device-Agnostic Platform: Supports everything from MCUs to GPUs, sensors, cameras, and gateways.
  • Accelerates Edge AI Deployment: Speeds up model training, testing, and optimization for commercial products.
  • Robust Ecosystem: Offers documentation, tools, whitepapers, ROI calculators, and partner support for faster go-to-market.
  • Low Latency, High Security: Processing at the edge improves performance and privacy.
  • Tool Variety: Includes PDF/audio data extraction, dashboards, report generators, and customizable analytics.
  • Tech-Savvy Audience Needed: Ideal for developers, engineers, and data scientists—may be overwhelming for beginners.
  • Integration Complexity: Deployment on microcontrollers or custom devices might require specialized knowledge.
  • Limited Pricing Info: Requires outreach for enterprise plan details and dedicated support options.

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