Unique AI Solutions
Deep Learning, Rendering, and Imaging engine in single, easy to use agile AI Platform. Get SKY ENGINE today and save on data-related costs.
SYNTHETIC DATA CLOUD
FOR DEEP LEARNING IN VISION AI AND THE METAVERSE
DEVELOPER PLATFORM
The World's Leading Full Stack Deep Learning and Synthetic Data Generation Platform
for Data Scientists enabling AI Computer Vision at scale
SKY ENGINE AI Platform enables building optimal, customised AI models from scratch and training them in Virtual Reality.
SKY ENGINE AI software allows creating a digital twin of your sensor, drone or robot and putting them through testing and training in a virtual environment
prior to real-world deployment.
SKY ENGINE AI Synthetic Data Generation makes Data Scientist life easier providing perfectly balanced datasets for any Computer Vision applications like object detection & recognition, 3D positioning, pose estimation and other sophisticated cases including analysis of multi-sensor data i.e., Radars, Lidars, Satellite, X-rays, and more.
SKY ENGINE AI Research is conducting research and development using the AI platform for client-tailored solutions covering entire data science pipeline i.e., research, data generation, AI models training, validation, deployment and predictive analytics with adaptive AI algorithms.
And this is just the beginning...
ACCELERATE
VISION AI DEVELOPER | DATA SCIENTIST | RESEARCHER
DATA & COMPUTER VISION TASKS
Build balanced dataset and optimal, customised AI models from scratch
and train them in the Metaverse in Model-based Data-centric ML platform
VISION AI DEVELOPER | DATA SCIENTIST | RESEARCHER
DATA & COMPUTER VISION TASKS
SKY ENGINE AI – DEEP LEARNING IN THE METAVERSE
An all-in-one AI models development platform that's smart, fast and data-driven.
SKY ENGINE AI PlatformSynthetic Data Cloud for Data Scientists – Developers tool
SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry.
SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.
Synthetic Data GenerationSimulated multispectral data & Sensor Fusion
SKY ENGINE platform allows creating huge datasets for Deep Learning in Computer Vision quickly. Images, video, labels, depth masks, normals, ground-truth can be generated with the speed of thought. Envision, create and validate detailed virtual environment for AI models training with any object of interest. Synthetic X-rays, visible light, infrared, radars, lidars, sonar data can be effectively simulated and generated.
SKY ENGINE leverages full power of modern hardware, cloud and GPU with High Performance Computing (HPC).
Visual AI inspectionRapid AI models training in Telecommunication – case study
The solution contains modules dedicated to optimisation of cell towers and site operations, and enables automatic AI inspection i.e., equipment identification, 3D telco site reconstructions, equipment mounting quality checks, on-site device condition monitoring and connection checks of any equipment.
Main components of the platform are evolutionary AI algorithms to ensure high inference accuracy in anomalies detection and SKY ENGINE Small Data™ technology that limits the burden of data acquisition and labelling for deep training as drone imagery datasets can be generated quickly.
AI Drones & UAVs NavigationDrone datasets & Autonomous drones in vineyard – case study
Drone flights can be performed autonomously. Plants and yield are detected and mapped in a real-time. All the objects are synthetic drone-generated with labels to provide deep insights to the growers via accurate AI inspection.
SKY ENGINE's Active Space Reasoning™ system allows those robots to operate efficiently without any supervision to deliver detailed analysis and to further refine the training environment for accurate self-navigation and drone characterisation of canopy vine cane, foliar, and fruit features.
Crowd Analytics for Public SafetyHumans behavior, social distancing and 3D/2D mapping case study – Times Square, New York
Ensuring crowd safety, such as recognizing threats and distinguishing them from normal activities poses a big challenge for the monitoring and protection system.
SKY ENGINE AI enables understanding of crowd behavior and accurate detection of anomalies. City cameras can be used to recognize unusual situations with reporting in real time to the Public Security Service. SKY ENGINE AI platform tracks individual people, their distancing, 3D poses, position, and predicts actions and activities to increase public safety.
Metaverse for AI drones trainingHow to efficiently boost service & maintenance operations?
Automatic AI inspection with the autonomous drones can be developed in the SKY ENGINE AI platform as we created metaverse where drone-based detection is enabled prior to deployment in a real train fleet service bay. Moreover, deep learning for railway traction and equipment monitoring can be performed at the fraction of cost and time, ensuring workers safety and improving predictive maintenance capabilities in the service department.
Gain huge boost in the infrastructure uptime with metaverses created in the SKY ENGINE AI platform.
Multi-Object, Multi-Person TrackingState-of-the-art AI models created using synthetic data alone for multi-objects identity estimation and large crowd tracking
The synthetic data simulated in the SKY ENGINE AI platform enables SOTA training of the tracking AI models for multi-object and dense crowd identity estimation.
Training process can be greatly accelerated, as the AI models trained in the SKY ENGINE AI platform are fed with Physically-based simulated and balanced data with endless variations and randomizations including perfectly aligned labels. In addition, any available camera characteristics can be included at the synthetic data simulation stage to provide the most reliable data and models, well reflecting an inference hardware.
Synthetic marina for AI docking & navigationCreate synthetic marina metaverse to accelerate AI models training for automatic docking and navigation.
SKY ENGINE AI Synthetic Data Cloud enables streamlined data generation in computer vision projects related to the automatic docking and navigation of boats, yachts and rhibs. Data Scientists can quickly and iteratively generate data they need to achieve very high accuracy of the AI models by getting balanced and diverse datasets covering edge cases and varying environmental conditions in the SKY ENGINE AI's pre-configured scenes including sensors of interest.
Learn moreRun SKY ENGINE AI elsewhere.
Generate synthetic data at scale. Create data generation and deep learning pipeline by running SKY ENGINE AI platform in your dedicated environment or scale the workloads to the SKY ENGINE AI cloud in seconds for convenience.
Run in the cloud
Run SKY ENGINE AI platform in configured multi-GPU scalable on-demand cluster with just a few clicks.
Train AI models at scale
Avoid setting up the infrastructure and quickly scale tasks adding more workers if required.
Generate data by distributed simulations
Use SKY ENGINE AI cloud GPUs to reduce developers effort for synthetic data generation and AI models training,
SKY ENGINE AI NEWS & BLOG
Driver Monitoring | Occupant Monitoring | Automotive | Synthetic Data | Deep Learning
Synthetic Data Cloud for real-time Driver Monitoring System (DMS) development and validation of Vision AI models
In this article, we are introducing exemplary driver and occupant monitoring case created in the SKY ENGINE AI Synthetic Data Cloud that is training Vision AI models with the RGB and IR cameras to not only recognize...
By SKY ENGINE AI
01 September 2022
Synthetic Data | SKY ENGINE AI | Vision AI | Computer Vision | Data Generation
Put Your Computer Vision Models In “The Matrix” With Synthetic Data
SKY ENGINE AI featured in the Forrester Market Research article.
By Forrester
30 June 2022
Synthetic Data | SKY ENGINE AI | Vision AI | Computer Vision | Data Generation
Why synthetic data makes real AI better
SKY ENGINE AI featured in the Venture Beat article. Read the full story on Venture...
By Venture Beat
27 June 2022
Metaverse | Standards | Interoperability | Synthetic Data | Virtual Reality
SKY ENGINE AI joins the Metaverse Standards Forum to foster the development of open standards for the metaverse
SKY ENGINE AI joins the Metaverse Standards Forum to foster the development of open standards for the metaverse and drive interoperability.
By SKY ENGINE AI
21 June 2022
Synthetic Data Cloud | Retail | Merchandising | Objects tracking | Vision AI
SKY ENGINE AI receives another deal win from major US retail merchandiser
SKY ENGINE AI announces a new deal win with another US major merchandising company. The new order, for one of the largest US merchandisers, will enable synthetic data and solutions delivery for in-store items...
By SKY ENGINE AI
20 June 2022
Synthetic Data | SKY ENGINE AI | Vision AI | Computer Vision | Data Generation
The Expanding Importance of Synthetic Data
SKY ENGINE AI featured in the Open Data Science article. Read the full story on Open Data...
By Open Data Science
13 June 2022
Synthetic Data Cloud | Metaverse | Computer Vision | Microsoft | Cloud Computing
SKY ENGINE AI joins Microsoft for Startups Founders Hub to further accelerate broad adoption of synthetic data for AI models training in the metaverse.
SKY ENGINE AI joins Microsoft for Startups Founders Hub to further accelerate broad adoption of synthetic data for AI models training in the metaverse.
By SKY ENGINE AI & Microsoft
17 May 2022
Synthetic Data | SKY ENGINE AI | Vision AI | Computer Vision | Data Generation
Why synthetic data may be better than the real thing
SKY ENGINE AI featured in the PS News Australia article. Read the full story on...
By PS News Australia
25 April 2022
Synthetic Data | Metaverse | Computer Vision | Nvidia | Deep Learning
SKY ENGINE AI has been invited to the NVIDIA AI Accelerated program announced at GTC 2022 to boost performance and reliability of AI applications
SKY ENGINE AI has been invited o the NVIDIA AI Accelerated program announced at GTC 2022 to boost performance and reliability of AI applications.
By SKY ENGINE AI & NVIDIA
22 March 2022
SKY ENGINE AI – SHADER BALL Q2 2021
Unleash the Physics Simulations of Light, Quality 3D Graphics and Rendering Power
for Deep Learning in SKY ENGINE AI
SKY ENGINE AI PLATFORM FOR EXTREME DATA SCIENCE
Boost your Computer Vision and Machine Learning with unprecedented accuracy
Power of Rendering
SKY ENGINE boosts and enables self-learning with its proprietary rendering and imaging system for synthetic data acquisition.
Data Science Boost
Improve image recognition accuracy with our innovative approach where no data labelling is needed. We are advancing AI.
Scientific Research
SKY ENGINE is evolving system being academic research spin-off designed for self-learning adopting edge AI and imaging technology.
We combine the power of Deep Learning, Rendering and Imaging with state-of-the-art computing to help industries adopting efficient AI Business Transformation
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TELECOM
MANUFACTURING
AGRICULTURE
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OIL & GAS
ENERGY
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AUTOMOTIVE
PHARMACEUTICAL
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Everything you would expect
Benefits of using synthetic data
Reduced data acquisition
Large chunks of real-world training images are no longer required reducing data acquisition costs as synthetic data is diverse and covers edge-cases.
Perfectly labelled data
Synthetic data, digital twins come with labels, annotated instances and ground truths, reducing humans work.
Up to 85% cost savings
AI business transformation can be reality when generating massive synthetic training datasets at a fraction of real-world data collection and labelling cost.
Up to 50% more accurate computer vision
Training AI models with pure synthetic data and advanced domain adaptation and testing digital twins in virtual reality greatly improves model performance.
Up to 40x faster AI model development
Accelerate deployment of computer vision models by shortening training iteration cycles with adaptive data-centric evolutionary deep learning workflow.
Democratize access to AI training data
Build trust with your customers and community when creating anonymized synthetic datasets and work safely with data while preserving privacy.
