Maximize Your Department’s Research Impact
Elevate your scholarly research talks and seminars to attract collaborators, funders, and students with Cassyni.
Cassyni transforms the seminar workflows and amplifies the impact of your research centre's seminars.
With advanced tools and AI-driven features, Cassyni expands your seminars’ reach and boosts engagement, resonating with the scholarly community and beyond.
Expand Reach and Engagement
Cassyni's AI Audience Builder helps identify relevant researchers, expanding your reach and fostering a connected academic community.
Track your seminar series engagement and report its impact to funders with comprehensive analytics.Boost Discoverability and Impact
Assign DOIs to recordings for lasting academic value, embedding your seminars within the scholarly ecosystem.
Increase accessibility with searchable transcripts and references powered by AI-enhanced content.Organize Seminars Effortlessly
Streamline scheduling, invites, and abstract collection to reduce administrative load with automated workflows.
Easily adapt Cassyni to your existing seminar processes and content for a seamless transition.Trusted by researchers around the world
Saving seminar organisers time at Imperial College London
Cassyni is the ultimate platform for organising a seminar series: slick design, easy to use, and with a fantastic team ready to support organisers and speakers at every step!
Senior Lecturer in Control Engineering
Explore the Imperial Aeronautics Seminar Collection.
The production and transfer of uncertainty in turbulence
Christos Vassilicos, CNRS
Building a global community of researchers at Texas A&M
Since launching our seminar series with Cassyni we've seen a 3× increase in downloads of our software.
The community building and the analytics tools that Cassyni provides make it very easy to demonstrate the impact of our research to our funders - it’s a real game changer.
Assistant Professor, Ocean Engineering
See the PyFR seminar series.
Static deep stall analysis augmented by numerically constrained turbulent flows
Francesco Mario D'Afiero, University of Naples Federico II and KTH Royal Institute of Technology