DBRX Integrations

Rayven designs and delivers operational systems for industrial and asset-intensive businesses. We connect fragmented data from IT, OT, IoT, files, and existing systems - anything - without rip-and-replace, then turn it into automation and made-to-fit operational solutions that run in a single environment. Rayven is built for real operational conditions - sites, assets, field teams, production, logistics, and infrastructure. Teams get real-time visibility and automated workflows that reduce manual work, close gaps between systems, and improve coordination across operations. Everything is delivered end-to-end. Rayven designs the solution, provides the underlying technology, deploys it, and supports it over time - without requiring internal development teams or large implementation projects. Rayven works directly with customers and via partners through white-label and co-branded solutions. Based in Australia and New Zealand, supporting industrial organisations globally.

GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.

GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction. For applications requiring a lot of understanding of the content, like summarization for a specific audience and creative content generation, Davinci is going to produce the best results. These increased capabilities require more compute resources, so Davinci costs more per API call and is not as fast as the other models.

There is a growing need to securely operate on and utilize industrial data in every industry vertical. Skkynet's Cogent DataHub provides a secure-by-design industrial data operations platform that connects to, provides inline protocol conversion for, aggregates, contextualizes, edge processes, integrates with AI models, visualizes and securely streams industrial data to where ever it is needed - in OT, IT, or the cloud. Powered by patented technology and supported by decades of industrial expertise, Skkynet’s proven software is trusted by over 2,200 customers across more than 30,000 installations in 86 countries.

Simplify your MLOps pipelines. Manage, deploy, and scale on any infrastructure with ZenML. ZenML is completely free and open-source. See the magic with just two simple commands. Set up ZenML in a matter of minutes, and start with all the tools you already use. ZenML standard interfaces ensure that your tools work together seamlessly. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

Double is an AI-powered coding assistant inside of VSCode, designed to generate high quality code and assist you with programming tasks. Double is powered by the most capable commercially available LLMs, providing state of the art coding assistance. We will never waste your precious time with inferior models. Get code suggestions in real time as you type in the editor, press Tab to accept a suggestion and incorporate it into your code. The suggestions are personalized to your file's context and style conventions. Double's autocomplete is also handles multi-cursor mode, naming variables, mid-line completions, and automatically imports any relevant functions, variables, and libraries needed to run the code.

Visplore is a visual analytics software solution for rapid industrial troubleshooting and root-cause analysis. When KPIs and simple trends are not enough and action is time-critical, it complements dashboards with guided forensic “why” analyses that deliver insights for problem-solving and process optimization. It works across the entire IT/OT landscape, from process and asset data to quality and material data, and is easy to use for all engineers. - Guided, transparent root-cause analysis with intuitive visuals — no black boxes, no complex modeling - Works with your data, where it lives - Seamless IT/OT connectivity - From troubleshooting to standardized best practice - Proven templates, excellent expert support, and workflows that scale into automated monitoring and reporting. Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.