Knolia.ai: From Passive Video to Interactive Knowledge
By Anurag Duddu and Claude Sonnet 4.5
February 20, 2026
Summary
Conference knowledge often disappears after an event ends—or sits unwatched on YouTube. Anurag Duddu (MDes 2025) saw an opportunity: what if conferences could stay interactive months or even years later?
Built for the 2025 Shapeshift Summit at the Institute of Design at Illinois Tech, Knolia.ai serves as a knowledge liaison between Summit attendees and the insights shared across three days exploring responsible AI. Using speech-to-text processing, speaker diarization, and retrieval-augmented generation (RAG), the platform transforms passive recordings into an interactive knowledge layer—allowing participants to query summit content semantically, receive grounded responses with exact citations, and experience talks in their own language through live dubbing in speakers’ original voices.
While created specifically for Shapeshift, this approach could be applied to other summits, conferences, and convenings—building community and knowledge long after in-person events end.
Knolia.ai: Longer Lifespans for Brilliant Ideas
The 2025 Shapeshift Summit brought together global thought leaders from creative, technology, and business communities to discuss responsible AI and its implications for the future of design and human culture. Three days of keynotes, panels, and immersive experiences generated hours of insights from speakers addressing AI’s real impact—and how we can harness its power for everyone.
But what happens to all that knowledge now that the Summit has ended?
OPPORTUNITY
How To Extend the Conference Lifespan
Beyond Passive Playback
Traditional conference recordings offer flat experiences. YouTube playback with keyword search requires exact matches and forces manual scrubbing through hours of video. Even when transcripts are available, they’re difficult to query effectively.
How can we go beyond passive playback?
Generic large language models make everything available—but risk pulling from unreliable sources with unknown authority. Participants can’t be certain whether responses reflect what was actually said at the Summit.
Knolia takes a different approach: a closed-source system that allows participants to engage with and query only trusted Summit content. Events stay interactive long after they end.
VIDEO
Introducing Knolia.ai
Knolia was demoed live on stage at the Shapeshift Summit in May 2025. It remains available to Shapeshift registrants. Here, Anurag Duddu (MDes 2025) explains how it works.
PROCESS
Responsible AI for Knowledge Extension
Knolia emerged directly from Shapeshift’s focus: Responsible AI. The aim of the Summit was to move AI conversations from Silicon Valley to the rest of the world, and from technology to human impact.
Shapeshift spotlighted responsible approaches to AI—technology designed to enhance human capability rather than replace it, and systems built to serve people rather than exploit them. Anurag’s work embodies these principles. Rather than building another general-purpose AI tool, he created a specialized system grounded entirely in verified Summit content—demonstrating how emerging technologies can be applied responsibly to build community and preserve knowledge.
OUTCOME
From Recording to Knowledge Layer
The fundamental shift Knolia enables becomes clear when comparing traditional approaches:
| Traditional Conference Recordings | Knolia Knowledge Layer |
| Ctrl+F keyword search with exact match only | Semantic search understanding meaning and intent across all sessions |
| No speaker attribution | Speaker diarization identifies exactly who said what |
| Manual video scrubbing to find relevant moments | Word-level timestamps link directly to the moment something was discussed |
| Single language, single format | Live dubbing in any language, rendered in the speaker’s original voice |
| Passive consumption: watch or skip | Active interaction through natural language queries and exploration |
| Isolated, siloed videos | Queryable across all 16 sessions with cross-referencing between speakers and topics |
| No context or summaries | Auto-generated highlights and session summaries for quick orientation |
A participant might ask: “What did Ryan Powell from Waymo say about designing for trust in urban systems?” Knolia returns grounded responses citing specific sessions with direct links to those moments—transforming how people extract value from conference content on their own terms, months or years later.
IMPACT
How Knolia Works
For Shapeshift Summit registrants with platform access:
- Visit knolia.ai and log in via Google Workspace with your Summit credentials
- Ask natural language questions about any session, speaker, or topic discussed across the three-day Summit
- Receive grounded responses with exact citations pointing to specific moments in specific sessions
- Navigate directly to moments via word-level timestamps that take you to relevant content
- Experience content in your language through live dubbing that retains speakers’ original voices
- Explore auto-generated highlights and session summaries for quick orientation
The platform processes summit content through integrated layers: speech-to-text with speaker diarization identifying who said what, embedding with word-level timestamps, semantic search using RAG technology to ensure responses stay grounded in actual content, and multi-language support rendering talks in users’ preferred languages.
A 3-Day Summit Lives On, Months Later
More than 17 percent of Shapeshift registrants have used the prototype platform, and many of them keep coming back. Nearly all returned multiple times over the following months to interact with Summit content—demonstrating sustained engagement with conference knowledge long after the May 2025 event ended.
This engagement pattern reveals an unmet need. Conference recordings typically see a brief spike in views during the first week, then virtually no activity. Knolia demonstrates what becomes possible when you transform passive recordings into interactive knowledge layers: people find ongoing value in event content because the format finally supports how they actually want to access knowledge.
A Model for Conference Communities
While built as a prototype exploring what AI can do for event knowledge, Knolia demonstrates how responsible AI can keep communities connected to the ideas that matter. The platform remains live at Knolia.ai for Shapeshift registrants.
The approach is replicable: other summits, conferences, and convenings could apply these same methods to build community and preserve knowledge long after in-person events end—creating interactive knowledge layers that serve participants for months and years.
TEAM
Students
Anurag Duddu (MDes 2025)
Faculty & Partners
Anijo Mathew (Shapeshift Co-Host)
Albert Shum (Advisor to the Dean; Shapeshift Co-Host)