AI case studies using {model/tool}




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Hebbia built Matrix, a multi-agent AI platform that orchestrates OpenAI models including o3‑mini, o1, and GPT‑4o to automate complex financial and legal research tasks. The platform decomposes intricate queries into structured analytical steps and integrates modules like OCR, hallucination validation, and artifact generation to process complete documents, creating an infinite effective context window. This solution streamlines due diligence, contract review, and market research workflows, drastically reducing manual processing time.
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Factory built a command center for software development by embedding OpenAI’s reasoning models directly into its platform’s workflows. They integrated specific models—using o1 for complex architectural planning, o3‑mini for rapid exploration and bug triage, and GPT‑4o for real-time code generation—across various stages of the development lifecycle. This implementation streamlined coding, design, review, and knowledge retrieval processes by reducing manual research and minimizing context switching, enabling developers to focus on high-leverage tasks.
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Wrtn Technologies leveraged Microsoft's Azure OpenAI Service with its newest o1 models to power a localized AI superapp, integrating features such as intelligent search, conversational chat, and code generation into its platform. They implemented the solution by incorporating Azure AI Foundry and Azure AI Content Safety to ensure secure data residency and regulatory compliance, streamlining both consumer interactions and internal development workflows.
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