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What is Voyager SDK?

The Voyager SDK is crafted specifically for edge-based Computer Vision, enabling clients to seamlessly deploy AI solutions that are customized to their operational requirements on edge devices. Users of the SDK have the ability to merge their applications into the Metis AI platform and execute them on Axelera’s powerful Metis AI Processing Unit (AIPU), whether the applications utilize proprietary models or widely recognized industry frameworks. With its all-encompassing end-to-end integration, the Voyager SDK guarantees API compatibility with existing industry benchmarks, thereby optimizing the performance of the Metis AIPU and facilitating the rapid and smooth deployment of high-performance AI applications. Developers can define their entire application workflows with a straightforward, high-level declarative language called YAML, which supports one or more neural networks along with relevant pre- and post-processing tasks, including sophisticated image processing methods. This strategy not only streamlines the development process but also improves the effectiveness of implementing intricate AI solutions in practical situations. Additionally, the SDK empowers developers to innovate rapidly, fostering an environment where advanced AI technologies can be harnessed to solve real-world challenges efficiently.

What is SKY ENGINE AI?

SKY ENGINE AI is a comprehensive synthetic data platform engineered to deliver large-scale 3D generative content for Vision AI development. It unifies simulation, rendering, annotation, and model-training infrastructure into a single managed system, removing the typical fragmentation found in AI workflows. Using physics-based rendering and multispectrum support, the platform generates highly realistic synthetic images tailored to complex perception tasks across multiple sensors. Its domain processor aligns synthetic output with real-world data through GAN post-processing, texture adaptation, and automated gap-analysis tools. Developers benefit from an integrated code environment that connects directly to GPU memory, offering smooth compatibility with PyTorch, TensorFlow, and enterprise MLOps stacks. SKY ENGINE AI’s distributed rendering system enables fast generation of millions of samples by scaling scenes, models, and training plans across compute clusters. Built-in blueprints for automotive, robotics, drones, manufacturing, and human analytics allow users to generate rich, scenario-specific datasets instantly. Powerful randomization controls provide complete variability for lighting, materials, motion, and environment physics, ensuring robust generalization in Vision AI models. With automated cloud resource management and continuous data iteration capability, teams can test model hypotheses, synthesize edge cases, and refine datasets with unprecedented speed. The platform ultimately reduces cost, accelerates development cycles, and delivers enterprise-grade synthetic datasets for production-ready AI systems.

Media

Media

Integrations Supported

PyTorch

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Contact us
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Axelera AI

Date Founded

2021

Company Location

The Netherlands

Company Website

axelera.ai/ai-software

Company Facts

Organization Name

SKY ENGINE AI

Date Founded

2018

Company Location

United Kingdom

Company Website

www.skyengine.ai

Categories and Features

AI SDKs

Not specified

Computer Vision

Not specified

Categories and Features

AI Development

Not specified

Artificial Intelligence

For Healthcare
Image Recognition
Machine Learning
Predictive Analytics

Computer Vision

Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Deep Learning

Convolutional Neural Networks
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Image Recognition

Not specified

LiDAR

Not specified

Virtual Reality

Not specified

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