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OpenAI leverages an AI-powered inbound sales assistant to transform high-volume inbound leads into personalized customer engagements, boosting response accuracy and accelerating sales conversions.

OpenAI showcases how it leverages its own AI technologies internally across teams to enhance productivity, streamline workflows, and scale expertise through practical, high-impact applications.

OpenAI developed a contract data agent that leverages AI-powered retrieval-augmented prompting to transform diverse contract documents into structured, searchable data, enabling faster, scalable, and expert-reviewed contract analysis.

Stripe and OpenAI co-developed the open-source Agentic Commerce Protocol (ACP) to enable secure, flexible, and standardized AI-powered commerce transactions directly through AI agents like ChatGPT.

Ambsheets extend traditional spreadsheets by introducing amb values to seamlessly compare and analyze multiple scenarios and probabilistic simulations within a familiar spreadsheet interface.

OpenAI partners with AARP and OATS to provide nationwide AI training and digital safety programs empowering older adults to use ChatGPT confidently and avoid online scams.

Evaluation outcomes in AI benchmarks are significantly influenced by parsing choices, with structured parsing constraining model reasoning and flexible parsing enhancing reported accuracy but affecting precision.

ChatGPT Pulse is a new mobile feature that proactively delivers personalized, research-driven updates by synthesizing your chats, feedback, and connected apps to help you stay informed and achieve your goals.

Introducing GDPval, a comprehensive evaluation framework measuring AI model performance on 1,320 economically valuable, real-world tasks across 44 knowledge work occupations in nine key industries, offering insights into AI’s practical impact and progress in supporting professional work.

ChatGPT introduces shared projects, enhanced connectors, and advanced compliance features to streamline team collaboration, improve tool integration, and secure organizational data.

MIT researchers developed MultiverSeg, an AI-powered interactive segmentation tool that reduces manual input and accelerates biomedical image analysis to aid clinical research and trials.

MIT's CRESt platform leverages multimodal AI, active learning, robotic automation, and natural language interaction to accelerate the discovery and optimization of novel materials through integrated experiments and literature insights.