1. To advance Virtual Assistant 2.0 technology through joint projects with corporations. This includes research projects as well as case studies. The use cases include customer support phone services, chatbots on web pages, virtual assistant skills, as well as virtual assistant platforms.
  2. To disseminate knowledge and to facilitate technology transfer to companies.
  3. To foster collaboration across companies in creating an ecosystem of an open virtual assistant infrastructure.

Member Benefits

  1. Engagement and participation in research in conversational agent technology. Members are invited to send one visitor to Stanford (after restrictions due to Covid-19 are lifted).
  2. Opportunities to recruit graduates from the lab.
  3. The lab will provide engagement on internal projects using our open-source technology.
  4. Opportunities to collaborate with other corporations in research and open ecosystem development.
  5. Members will be invited to annual workshops. (A blog on the First Open Virtual Assistant Workshop held in October 2019).


Members of this affiliate program agree to support the research of the laboratory with a membership fee of $500K/year. Memberships are auto-renewed annually for five years. OVAL is a Stanford University industrial affiliates program and is subject to university policies for such programs including openness in research, publication and broad sharing of results, and faculty freedom to pursue research topics and methodology of their choice.

Please see the Stanford University Policies Affecting Industrial Affiliates Program Membership for more details.


The Open Virtual Assistant Lab Researchers will use and develop open-source software, and it is the intention of all Open Virtual Assistant Lab Program researchers that any software released will be released under an open source model, such as BSD. The Program is open to all Stanford faculty who share this goal.

More Information

For further information please see the OVAL Affiliates Program document. Or, please contact Monica Lam, the Faculty Lab Director.