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www.edgeimpulse.comSan Diego, California, United States
Edge Impulse provides an edge AI platform and ecosystem enabling developers to build, deploy, and scale machine learning on embedded devices.
Edge Impulse provides an edge AI platform and ecosystem that enables developers, product teams, and organizations to build, train, deploy, and manage machine learning-enabled solutions on embedded and edge devices. It serves a broad audience across industries such as IoT and consumer electronics, offering end-to-end capabilities for data collection, model development, optimization, and deployment, along with a network of partners and resources to accelerate edge AI adoption. The company emphasizes accessibility, security, and scalability, aiming to empower customers to bring intelligent, connected devices to market quickly and reliably.
Mission statement
To empower developers and organizations to create intelligent edge solutions through an accessible, secure, end-to-end platform and partner network.
Products & Services
Edge Impulse platform Platform
Accelerate the development and deployment of edge AI solutions with Edge Impulse platform.
www.edgeimpulse.com/product- ✓ Built for AI Practitioners — End-to-End Workflows
- ✓ Algorithms — Access Diverse Algorithms
- ✓ Built for Embedded Engineers — Optimize for Resource Constraints
- ✓ Feature Engineering — Prepare Data Effectively
- ✓ Model Optimization — Optimize Model Performance
- ✓ Sensor Datasets — Manage Sensor Data
- ✓ Arduino Integrations — Integrate Seamlessly with Arduino
- ✓ Built for OEMs — Empower OEM Integration
- ✓ Computer Vision — Implement Computer Vision
- ✓ NVIDIA Integrations — Leverage NVIDIA Hardware
- ✓ Qualcomm Integrations — Utilize Qualcomm Platforms
Market Segments
Edge ML development platforms
End-to-end platforms that enable data collection, feature engineering, model training, and deployment of machine learning models to embedded and edge devices.
On-device computer vision
Capabilities to build, optimize, and run computer vision models on resource-constrained cameras and edge devices for real-time inference.
Model optimization for constrained devices
Techniques and tooling for model quantization, pruning, and runtime optimization to meet latency, memory, and power constraints on embedded hardware.
Sensor data acquisition and management for edge ML
Capabilities for capturing, labeling, and managing sensor datasets (audio, IMU, image, environmental) to train and validate reliable on-device models.
OEM device enablement and hardware integration
Integrations and workflows that help OEMs and embedded engineers integrate ML models with hardware platforms (Arduino, NVIDIA, Qualcomm) and ship production devices.
Ideal Customer Profiles
Global product teams building edge AI devices for IoT and consumer electronics.
Deliver a robust edge device on schedule; meet performance targets
Optimize model size and latency; ensure firmware stability
Achieve reliable edge inference with acceptable accuracy
Global OEMs integrating edge AI into devices.
Deliver secure firmware with edge AI features
Achieve reliable edge AI performance across devices
Coordinate across supply chain to deliver devices on schedule
Global hardware startups building edge-enabled devices.
Prove viability; secure funding; build MVP
Validate models quickly on hardware
Deliver working demo fast
Common Questions
- What does EdgeImpulse Inc. do?
- Edge Impulse provides an edge AI platform and ecosystem that enables developers, product teams, and organizations to build, train, deploy, and manage machine learning-enabled solutions on embedded and edge devices. It serves a broad audience across industries such as IoT and consumer electronics, offering end-to-end capabilities for data collection, model development, optimization, and deployment, along with a network of partners and resources to accelerate edge AI adoption. The company emphasizes accessibility, security, and scalability, aiming to empower customers to bring intelligent, connected devices to market quickly and reliably.
- What problems does EdgeImpulse Inc. solve for IoT Product Teams And Edge AI Programs?
- Long time-to-market for edge ML, limited on-device compute, integration with hardware ecosystems, data silos
- What problems does EdgeImpulse Inc. solve for OEM Partners And Hardware Manufacturers?
- End-to-end edge AI deployment, secure updates, hardware compatibility, scalable rollout
- What is EdgeImpulse Inc.'s role in the Edge ML development platforms market?
- End-to-end platforms that enable data collection, feature engineering, model training, and deployment of machine learning models to embedded and edge devices.
- What is EdgeImpulse Inc.'s role in the On-device computer vision market?
- Capabilities to build, optimize, and run computer vision models on resource-constrained cameras and edge devices for real-time inference.
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