Adobe Research is developing intelligent agents and assistants to help Adobe’s customers with a wide range of tasks. Enterprise-focused agents offer a promising way to empower marketers to offer engaging customer experiences, educate people about products, and communicate timely offers. Natural language-enabled creative assistants could enable new users to become familiar with digital tools, teach valuable skills, and handle routine work. Agents and assistants may be voice or gesture driven, with awareness of content and context.
Meet some of our researchersView More
David Tompkins
Senior Principal Scientist and Lab Director, Research Engineering and Design Lab
Stefano Petrangeli
Senior Research Scientist
Kevin Smith
Senior Research Software Developer
View our latest publicationsView More
UXCascade: Scalable Usability Testing with Simulated User Agents
Holter, S., Koh, E., Dogan, D., Chan, G. (Nov. 2, 2026)
UIST 2026
FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing
Wei, W., Yang, H., Yang, T., Basu, S., Chen, H., Zhao, Y., Dernoncourt, F., Rossi, R., Eldardiry, H. (Oct. 9, 2026)
COLM 2026
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation
Qi, Z., Sahu, U., Ma, L., Han, H., Rossi, R., Dernoncourt, F., Halappanavar, M., Ahmed, N., Dong, Y., Zhao, Y., Zhang, Y., Wang, Y. (Jul. 13, 2026)
KDD 2026 Datasets and Benchmarks Track
Project Get Savvy
For marketing teams, going from an idea to a full campaign can be time-consuming, difficult, and expensive. So Adobe Researchers collaborated with the Adobe Experience Manager (AEM) team to create Project Get Savvy. This experimental prototype lets marketers choose a team of AI agents who help them quickly move from ideation to a full marketing plan.
