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.
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...
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.
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).
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.
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.
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.
AutomaticAI 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.
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.
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 platform in configured multi-GPU scalable on-demand cluster with just a few clicks.
Avoid setting up the infrastructure and quickly scale tasks adding more workers if required.
Use SKY ENGINE AI cloud GPUs to reduce developers effort for synthetic data generation and AI models training,
SKY ENGINE AI joins the Metaverse Standards Forum to foster the development of open standards for the metaverse and drive interoperability.
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...
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 has been invited o the NVIDIA AI Accelerated program announced at GTC 2022 to boost performance and reliability of AI applications.
Here, we will focus on the applications of the SKY ENGINE AI platform to development of AI models for worker safety monitoring, on-site inspection, audit, and infrastructure management in the construction sector to...
In this article, you'll discover how to think about your machine learning models from a data-centric standpoint, stressing the relevance and value of data in the AI models creation process.
In this article, you will discover how SKY ENGINE AI’s platform with synthetic data generation tools and AI models training in virtual environment enable designing of computer vision systems for warehousing whereas...
In team-based sports, building correct playing strategy before the championship season is a key to success for any professional coach and club owner. While coaches strive at providing best tips and point out...
Synthetic data plays increasingly important role in computer vision, especially the data generated from computer simulations provides competitive alternative to real-world data and gains momentum in multiverse of...
Deep Learning, Rendering, and Imaging engine in single, easy to use agile AI Platform. Get SKY ENGINE today and save on data-related costs.
SKY ENGINE boosts and enables self-learning with its proprietary rendering and imaging system for synthetic data acquisition.
Improve image recognition accuracy with our innovative approach where no data labelling is needed. We are advancing AI.
SKY ENGINE is evolving system being academic research spin-off designed for self-learning adopting edge AI and imaging technology.
Large chunks of real-world training images are no longer required reducing data acquisition costs as synthetic data is diverse and covers edge-cases.
Synthetic data, digital twins come with labels, annotated instances and ground truths, reducing humans work.
AI business transformation can be reality when generating massive synthetic training datasets at a fraction of real-world data collection and labelling cost.
Training AI models with pure synthetic data and advanced domain adaptation and testing digital twins in virtual reality greatly improves model performance.
Accelerate deployment of computer vision models by shortening training iteration cycles with adaptive data-centric evolutionary deep learning workflow.
Build trust with your customers and community when creating anonymized synthetic datasets and work safely with data while preserving privacy.