Welcome to PANDA

Win more, work less, be happier

Introducing Panda

Today’s work is complex. Working everywhere and all the time. Stuff scattered across many apps. It’s painful to keep up.

PANDA is about getting more done, working less, and being happier.

PANDA works by applying breakthrough Natural Language Processing AI in ridiculously practical ways to help teams stay on the same page. PANDA is currently available through our early access program.


“PANDA AI raised a total of $3.3 million in a round led by PSL Ventures, with participation from AI2 and Ascend VC.”

“Veteran tech execs are heading up a stealthy new startup.”

People

PANDA is founded and led by experienced technology entrepreneurs. We are advised by world-class AI and SaaS product experts.

Founders

Advisors

CEO, Co-founder

Former CEO of enterprise SaaS company acquired in 2019. 94% Glassdoor rating.

CTO, Co-founder

Former leader of Qualtrics NLP, previously Twitter and Amazon.

Advisors

Product Advisor

Former Co-founder and VP product of Smartsheet.

Research Advisor

Senior Research Scientist at AI2, first author on ELMo NLP Paper.

Research Advisor

Professor of CS at UW, Senior Research Manager AI2, renowned NLP leader.

Our Investors

PANDA is backed by leading Seattle VC investors focused on SaaS and AI. Our investors also include founders of legendary Seattle companies such as DocuSign and Smartsheet.




Join Our Team

We’re hiring people excited to use modern AI to help people win more, work less, and be happier. Basically, our mission is to help teams work in a more enlightened way.

Request Early Access




Prior to PANDA AI, Aaron was co-founder and CEO of EnergySavvy which was acquired in May 2019. Aaron led nearly $30M of fundraising for EnergySavvy and grew it to be an industry leader in clean energy customer engagement and data analytics.

Previously he was a group program manager at Microsoft. He is a cited inventor on 11 patents and a PSBJ 40 under 40 honoree. He is an active volunteer including board roles with Washington Green Schools and the Stroum Jewish Community Center. He holds a BS in math from UF and MS in math from UW and lives on Mercer Island with his wife and two children.

Before Panda AI, Yue was a research and engineering manager at Qualtrics leading the development of NLP related products. Before Qualtrics, he worked at leading tech companies such as Twitter, LinkedIn, and Amazon. He received a Bachelor’s degree in Physics from Peking University and a Master’s degree in Computer Science from the University of Pennsylvania. Besides tech, Yue enjoys golfing, traveling, and exploring amazing food.

Eric has spent the last two decades helping grow two software startups past the 100M annual revenue milestone.  As a co-founder and VP of Product Management at Smartsheet, Eric led a product management and UX team focused on building a powerful enterprise platform that was easy to use for individuals and teams.  He currently serves as a product advisor for several early stage startups.  In his spare time, Eric likes to golf, hike, ski and wakesurf.

Matt Peters is a Research Scientist exploring applications of deep neural networks to Semantic Scholar. Prior to joining AI2, he was the Director of Data Science at a Seattle start up, a research analyst in the finance industry and a post-doc investigating cloud-climate feedback. He has a PhD in Applied Math from the University of Washington. When he isn't doing research, he enjoys exploring the nearby Cascades on skis, foot, and bicycle.

Noah Smith is a Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, as well as a Senior Research Manager at the Allen Institute for Artificial Intelligence. Previously, he was an Associate Professor of Language Technologies and Machine Learning in the School of Computer Science at Carnegie Mellon University. He received his Ph.D. in Computer Science from Johns Hopkins University in 2006 and his B.S. in Computer Science and B.A. in Linguistics from the University of Maryland in 2001. His research interests include statistical natural language processing, machine learning, and applications of natural language processing, especially to the social sciences. His book, Linguistic Structure Prediction, covers many of these topics. He has served on the editorial boards of the journals Computational Linguistics (2009–2011), Journal of Artificial Intelligence Research (2011–present), and Transactions of the Association for Computational Linguistics (2012–present), as the secretary-treasurer of SIGDAT (2012–2015 and 2018–present), and as program co-chair of ACL 2016. Alumni of his research group, Noah's ARK, are international leaders in NLP in academia and industry; in 2017 UW's Sounding Board team won the inaugural Amazon Alexa Prize. Smith's work has been recognized with a UW Innovation award (2016–2018), a Finmeccanica career development chair at CMU (2011–2014), an NSF CAREER award (2011–2016), a Hertz Foundation graduate fellowship (2001–2006), numerous best paper nominations and awards, and coverage by NPR, BBC, CBC, New York Times, Washington Post, and Time.