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 Synthetic Data Cloud enables building optimal, customised AI models 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 – produce 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...
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Build balanced dataset and optimal, customised AI models from scratch
and train them in the metaverse in SKY ENGINE AI Synthetic Data Cloud
SKY ENGINE AI is a generative simulation and deep learning platform that produces fully annotated synthetic data and trains AI computer vision algorithms in parallel 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.
The SKY ENGINE AI cloud can be used to simulate Physically-accurate, photorealistic synthetic data in the RGB and IR modalities enabling accelerated training of the accurate AI models in the driver and occupants monitoring applications. These computer vision models, when incorporated in the DMS/OMS system, enable real-time assistance in identifying in-car activities and help recognizing event risks, such as their probability, direct cause, likelihood of potential injuries and severity accumulated over pre-defined period of time.
Learn moreSynthetic environments, context, and vessels, warships, boats, rhibs can be effectively simulated in the SKY ENGINE AI Synthetic Data Cloud to enable huge savings on testing their behaviour in a real world. SKY ENGINE AI cloud is enabling a military-grade data simulation and rendering. Learn more about how we are helping organizations in the defence industry to build robust vision AI models and military metaverse.
Case studySKY 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 moreAdaptive Construction Intelligence solutions can be build using synthetic data and deep learning in virtual environments using SKY ENGINE AI cloud. The AI models can also be validated and continuously retrained by adding diverse data of corner cases .
Computer Vision models created in the Synthetic Data Cloud enable improved on-site predictive analytics, harness safety by PPE monitoring and danger zones leading to potential decrease in hazards.
Synthetic human intestines and lesions for training of the vision AI systems in endoscopy to differentiate cancer and normal tissues. Real-time inference of polyps in colonoscopy trained purely on synthetic data from SKY ENGINE AI cloud. Many other modalities can be included like capsule endoscopy, hysteroscopy, bronchoscopy, X-rays, PET, SPECT, and more. Generate human anatomy data and train accurate AI models at scale for medical diagnostics applications with Physically-based simulation system and complex ground truths.
Run 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’s Software Solutions Fuel Developments in Computer Vision – Gartner Report
The number of human-related applications of computer vision and AI is growing by the day. From medicine to retail to manufacturing and security, AI-powered solutions are becoming more prevalent and will soon be...
SKY ENGINE AI and DRKVRS Partnership – 3D Generative AI for Games Development.
SKY ENGINE AI has raised its Series A round to help tech companies improve computer vision with Synthetic Data Cloud for AI developers.
Transfer learning is a computer vision approach that involves building a new model on top of a prior one. The goal is to enable the new model to learn characteristics from the existing one, allowing the new...
SKY ENGINE AI has been selected to deliver its world-leading Synthetic Data Cloud for Driver Monitoring System (DMS) software to boost car models capabilities with a major European car manufacturer – Renault...
SKY ENGINE AI has been selected by major European defence and military vendor to deliver its world-leading Synthetic Data Cloud software platform for Vision AI and Generative AI. New and legacy vision...
Zero-shot learning allows a model to complete a job without receiving any training examples by inferring what might be in an image using auxiliary information such as text descriptions.
Transformers, initially described in a Google paper titled "Attention Is All You Need" in 2017, use a self-attention mechanism to tackle sequence-to-sequence problems such as language translation and text...
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.