HOT-G is an edge ML platform designed to provide faster insights and lower cloud costs by enabling data analysis close to where the data is generated. The platform eliminates the need for complex infrastructure and enhances security while supporting a variety of deployment environments. It is suitable for individual developers and organizations looking to implement ML solutions efficiently. The product offers features such as SQL and predictive analytics, with support for mobile, desktop, and edge devices. Users can start free with basic functionalities and opt for custom pricing for enterprise needs.
• support for cloud and on-premise
• fast and lightweight solution
• run repeatable workloads without complicated infrastructure
• familiar workflows using sql, excel, and drag-and-drop
• run analytics and ml workloads on private data
Rune is a self-contained, language-agnostic executable containing a compiled ML pipeline. The project is open-source and available on GitHub.
ML pipeline is a collection of inputs, models, pre- and post-processing steps, and outputs that are joined together to solve a problem.
A model is the brains behind a ML pipeline, consisting of layers of numbers connected using mathematical operations that get trained to generate desired outputs.
Currently, HOT-G supports Tensorflow Lite and Tensorflow JS models, with plans to add ONNX framework support.
HOT-G supports edge deployment to iOS, Android, web, mobile web, and desktop, with plans for Arduino, Coral, Jetson Nano, and Raspberry PI.
Hammer Forge is the SAAS platform that includes Hammer Forge Studio (a drag-and-drop editor) and Foundry (a build system for Runes).
Runefile is a declarative YAML file which tells the Rune compiler how to build a Rune. It is open source.
A deployment is created when you successfully deploy a project pipeline to a device or web.
You can contact HOT-G for support through their website.
• Build, test, and deploy
• One live deployment
• Deploy to edge devices
• 1 seat
• Full monitoring and testing logs
• Email and community support
• Continuous Integration and Continuous Delivery
• Cloud native deployments of our platform on-prem/cloud
• API integrations for metrics, logs, and monitoring data
• Fully private deployments
• Custom hardware, MCUs, FPGA
• Concierge support
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