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OpenAI CoPilot Platform for Machine Builders and Operators for Azure - by InSkill

RevTwo

OpenAI CoPilot Platform for Machine Builders and Operators for Azure - by InSkill

RevTwo

The InSkill platform makes the creation & delivery of industrial AI Copilots simple and scalable

InSkill’s goal is to put an AI expert in the pocket of every worker around the world in the form of a Copilot. Doing this requires an enterprise-ready platform that allows factories and industrial equipment manufacturers to capture & share workforce knowledge while providing all the tools needed to create & distribute AI-powered Copilots at scale. With the InSkill platform, industrial companies can offset the challenges of the retiring workforce and high rates of worker turnover by giving them the power to quickly subscribe to curated bases of intelligence and distribute Copilots to whomever needs assistance. With Copilots from the InSkill platform, workers always have an AI assistant in their pocket to help them better operate and service industrial equipment and devices.

The InSkill platform is designed to capture workforce knowledge and make the creation & delivery of powerful generative AI-powered Copilots fast & simple for the enterprise. InSkill is the ONLY proven, enterprise-ready platform that has the power to quickly connect workers across your business with generative AI-powered Copilots. At its core, the revolutionary InSkill LLM, or Large Language Model, is designed to connect to a variety of different data sources, learn from documentation, and be constantly enhancing its knowledge from others as well as workers themselves.

The InSkill platform is designed to capture & distribute workforce knowledge and make the creation & delivery of powerful generative AI-powered Copilots fast & simple for the enterprise.

InSkill is the ONLY proven, enterprise-ready platform that has the power to quickly connect workers across your business with generative AI-powered Copilots. At its core, the revolutionary InSkill LLM, or Large Language Model, is designed to connect to a variety of different data sources, learn from documentation, and be constantly enhancing its knowledge from others as well as workers themselves.

InSkill has the unique capability which allows companies and users to subscribe to other bases of knowledge from the InSkill Network - including other companies and even other suppliers so that they can enhance their own LLM and make their workers even smarter using a wider base of information and data in their own Copilots.

There are three powerful ways to augment Copilots with the platform:

• Suppliers: Suppliers, such as Tetra Pak, ABB, Mettler Toledo, and others distribute curated Copilots which their customers can subscribe to so that their Copilots can learn from information they, or their other customers, may have regarding equipment or machinery.
• InSkill Library: InSkill curates a library of ready-made Copilots for leading industrial equipment and devices from across the industry. Workers can subscribe to any of the curated InSkill Copilots in the library to enhance their own Copilots.
• Create Your Own: Companies using the InSkill platform can create their own centralized Copilots which users can subscribe to.

Copilots, created with the InSkill platform, contain a powerful feature called InSkill GPT. InSkill GPT is a conversational intelligence interface where any worker can type or ask questions of a specific device or piece of equipment and receive answers instantaneously – including responses containing historical and real-time data from underlying systems and IoT platforms - not just answers from static documentation.

Copilots deployed with InSkill enable workers to quickly access a universe of device-specific information and data from anywhere in the world so that they can make better decisions - faster.

InSkill was founded in 2019 in Boston, MA, by the former founding team at Axeda (acquired by PTC in 2014). The reason InSkill was created was to offset the challenge of worker turnover in the industrial setting with the use of generative-AI.
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