Introducing the first platform to use a wizard-based Web application to create a Generative AI-based Copilot quickly and easily for any organization and any business workflow. This platform abstracts out the incredibly powerful but incredibly complex Microsoft Azure AI Services so that an organization doesn’t need to engage expensive software developers to custom build your Copilot solutions.

Our team has been implementing solutions that utilize AI well before it became newsworthy, leveraging technologies such as speech-to-text, vision analysis, and machine learning. As generative AI models have been released at breakneck speed, we are constantly researching, prototyping, and using the knowledge to help our customers solve their unique problems. Generative AI and Large Language Models (LLMs), such as the popularized OpenAI GPT models, have opened opportunities to make more advanced and adaptive software than ever before. Based on this vast experience, we have created this platform and a methodology to quickly develop AI-enabled Copilot solutions for all organizations.

Our platform abstracts all this rich functionality for creating for any type of Copilot solutions, including web, mobile and even automation:

• Use of any public large language model, including GPT-3, GPT-4 Turbo, GPT-4o Mini, Davinci, Ada, DALL-E. Gemini Flash, Meta Llama, Phi-3 mini, and Mistral Large.
• Collection of in-house developed plugins for tasks and Copilots.
• Fabric for multiple plugins and LLMs to interact with each other (called "data pipelines"), including the ability to add traditional Machine Learning Predictive Analytics and Predictive Maintenance solutions as another data pipeline.
• Tools and methods for extending LLMs to use custom data securely via "Retrieval Augmented Generation" (RAG).
• Ability to create "Agentic AI" Copilots (called "Agents") that automate any business process via ingestion of any public-facing API and data stream.

• Ability to deploy Copilots to any public-facing website or internal company intranet site.
• Practices to keep custom and proprietary data secure such as Deployment API keys and IP address Geofencing.

The platform will guide anyone through the process of:

• Getting an Azure Generative AI deployment set up that provides a conversational agent-based discussion that addresses:

o Clarification of what is trying to be accomplished.

o Setting up a model from any existing product manuals, customer service and support documents, or any other proprietary line-of-business system back-end data store.

o Training and fine-tuning of the full model.

o Assistance with the final deployment.

This platform has been used to create several existing Copilot applications, which include:

• An AI assistant, trained on product manuals, that helps end-customers with after-hours product support for incredibly complicated and incredibly expensive equipment.
• An AI assistant, trained on statistical data, that is used to automate the health sciences personality and emotional functioning assessment.
• An AI-powered search engine that uses vector data to return relevant and accurate search results for a document store.

Finally, we have a Professional Services that can provide on-site/real-time assistance with setting up Copilots.