NanoEdge AI logo

NanoEdge AI

by Cartesiam · Since 2016
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ActiveAvailable globallyCloud
Quick facts
VendorCartesiam
Year launched2016
StatusActive
Location39, Chemin du Champ des Filles, C. P. 21, Geneva, Switzerland CH 1228 Plan-Les-Ouates, CH
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierN/A
Free trialN/A
Contact salesYES

About NanoEdge AI

NanoEdge AI is a machine learning software from Cartesiam that provides AI capabilities for embedded systems. It offers model generation, training, and deployment so developers can create intelligent applications on low-resource devices. NanoEdge AI enables users to integrate AI without extensive machine learning expertise, making it accessible for a wide range of applications. The platform supports various hardware architectures and is designed to operate under constrained conditions. Key capabilities: model generation training algorithms deployment on edge devices compatibility with multiple architectures low power consumption Best for: developers and engineers that need to implement AI solutions in embedded systems.

NanoEdge AI by Cartesiam represents a breakthrough in artificial intelligence software designed specifically for microcontrollers, opening up new possibilities in the Internet of Things (IoT) and embedded systems development. Its core strength lies in bringing sophisticated AI capabilities, such as anomaly detection, classification, and regression, directly to low-cost, low-power devices. This allows machine learning models to run natively on microcontrollers without the need for offloading computation to more powerful, cloud-based infrastructures. This is a crucial feature for IoT applications where latency, connectivity, and power efficiency are top concerns. The user interface of NanoEdge AI Studio, the development platform accompanying the software, is one of its standout features. Developers, whether they are seasoned experts or newcomers to AI, will appreciate the intuitive design of the interface. NanoEdge AI Studio is built around a step-by-step workflow that simplifies the complex process of developing and deploying machine learning models on microcontrollers. It provides drag-and-drop functionality and offers visual representations of data flows, making the entire process accessible even to those who may not have extensive machine learning expertise.

Pros & Cons

Pros
  • Easy to use without advanced AI skills
  • Rapid development of machine learning models
  • Suitable for resource-constrained environments
Cons
  • Limited to specific microcontroller platforms
  • May require some learning curve for new users

Features

Key features

1. Free AutoML Tool

A completely free platform for creating machine learning models.

2. Embedded Project Optimization

Finds and configures the best AI library for your specific embedded project.

3. On-Device Learning

Integrates machine learning models with on-device learning capabilities.

4. Minimal Investment

Allows for the integration of machine learning models into STM32 microcontrollers or smart sensors with minimal cost.

Additional features

1. Guided Workflow

Provides a step-by-step process for creating anomaly detection, classification, or regression libraries.

2. Data Collection and Validation

Helps collect and validate data for training models.

3. C-Code Generation

Generates C-code that can be easily integrated into your project.

4. Small Dataset Compatibility

Works effectively with small datasets.

5. Datalogging Function

Built-in datalogging feature for capturing and managing high-speed data.

6. STWIN Board Compatibility

Works seamlessly with the STWIN development board.

7. Industrial-Grade Sensor Support

Supports industrial-grade sensors without requiring additional code.

8. Tutorial Projects

Includes new tutorial projects to help users get started.

9. Accelerated Benchmarking

Provides faster benchmarking capabilities.

10. Improved Memory Management

Enhanced memory management for optimized performance.

11. Enhanced User Interface

A more intuitive and user-friendly interface.

12. Arduino Board Support

Supports 19 Arduino boards based on Cortex-M.

13. Arduino Project Hub Integration

Allows for easy integration with Arduino Project Hub.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
7
Billing currencies

Interface languages

English

Billing currencies

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