• On-Chain

Deploy trustworthy machine intelligence.
Train, test, and validate drones, robotics, cars

SKINNER, as a Synthetic Knowledge Integrator for Neural Network Enhanced Robotics, provides a solution for computer vision and synthetic data generation for training artificial intelligence models
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Business Tools

75% of companies have problems with the volume, quality, and speed of training data. Keep system running smoothly and let Skinner assist you by providing the best tools for your business.

Developer Tools

Synthetic data generator helps you create high-quality datasets from uploaded photogrammetric, generative or custom 3D assets for training AI models. You can depend on Skinner to solve any task in-office or at your home.

Cloud Solution Tools For Computer Vision and Machine Learning Needs

A key feature of the Skinner AI framework is its Synthetic data generator. This innovative tool allows users to easily create, buy, and sell high-quality datasets derived from Photogrammetric, Generative or custom 3D models, unlocking vast potential for machine learning training. Operating as a cloud computing solution, it offers scalable, on-demand data generation capabilities suitable for a broad range of applications
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Providing Top-Notch Solutions for Data Generation At Affordable Rates

To ensure accessibility and flexibility, the Synthetic data generator adopts a Pay-Per-Input licensing model. Users pay based on the amount of input they provide for data generation, rather than a flat subscription fee. This approach offers several benefits, like cost-effective: users only pay for what they use, making it a cost-effective solution for both small-scale and large-scale data generation needs; scalable: as a cloud-based solution, the Synthetic data generator can easily scale to handle larger inputs as required, without the need for users to invest in additional hardware or infrastructure; accessible: the Pay-Per-Input model makes advanced Synthetic data generation capabilities accessible to a wide range of users, from individual researchers and small startups to large corporations
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Benefits Of The Synthetic Data Solution

Perfect Pixel Quality

By generating realistic data samples, Synthetic data allows researchers and developers to overcome limitations posed by scarce or privacy-sensitive datasets

Automatic Annotation

Skinner creates diverse, error-free datasets and eliminates manual labeling. This boosts model accuracy, speeds development, and significantly saves resources

High Visual Realism

Synthetic data is a game-changer. It bridges the gap between virtual and real, augmenting datasets for training accurate models, aiding in privacy, and reducing biases

High performance

Generating 1 billion ready-to-use datasets daily without manual collection, labeling, or processing. That significantly outperforms traditional methods

Large scale generation

Leverages algorithms, modeling, and simulation to create high-volume data, enabling accurate machine-learning models and analytics

Affordable Rates

Unlock new insights and reduce costs with our affordable Synthetic data solutions. Designed for businesses of all sizes. Enhance analytics, improve AI models

Testimonials

״Best computer repair in Chicago! Thanks to Computera I never have to worry about being left with a broken computer again! They were very professional & honest with me the whole time. John and Steve really know what they’re talking about.”
Rory Braun, Client
Rory Braun, Client
“Skinner Ecosystem is a new-generation system developed by experienced developers for ML training. The system will be built with an awareness of all of the flaws of current software platforms.”
Victor Talko, Co-Founder, RaveOS
Victor Talko, Co-Founder, RaveOS
“Industry’s fast development has led to a wide variety of pools. Hardware should adapt to potential customers’ interests and produces more advanced solutions.”
Sergey Barannikov, CTO, RaveOS
Sergey Barannikov, CTO, RaveOS
“Skinner Ecosystem is a new-generation system developed by experienced developers for ML training. The system will be built with an awareness of all of the flaws of current software platforms.”
Victor Talko, Co-Founder, RaveOS
Victor Talko, Co-Founder, RaveOS
״Industry’s fast development has led to a wide variety of pools. Hardware should adapt to potential customers’ interests and produces more advanced solutions.”
Sergey Barannikov, CTO, RaveOS
Sergey Barannikov, CTO, RaveOS
“The guys from Computera did a great job setting up our office network and completing other tasks we needed. They were very fast and pleasant to work with. Everything is now running smoothly thanks to them.”
John Mitchell, Co-Founder, Libera Labs
John Mitchell, Co-Founder, Libera Labs
Cloud Computing Solution

Rise of autonomy

With the rise of autonomous systems such as drones, robots, and self-driving cars, the need for trustworthy and efficient machine learning platforms has become paramount. Skinner addresses this need by providing a decentralized, scalable, and resource-efficient platform for deep learning model training, specifically designed for computer vision applications
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