Real-Time Digital Humans
Multilingual AI hosts, product experts, guides and trainers that can greet visitors, explain content, answer from approved knowledge and hand off to humans when needed.
ZliccAI is not a library of faces. It is a governed solution layer for live rooms, booths, broadcasts and post-event intelligence — built around approved sources, consent, brand voice and human handoff.
Multilingual AI hosts, product experts, guides and trainers that can greet visitors, explain content, answer from approved knowledge and hand off to humans when needed.
Segmented AI videos, personalised messages and post-event follow-ups built from attendee identity, event participation and approved campaign logic.
AI face-matching photo discovery and memory delivery so attendees can find their event photos without searching galleries manually.
Live captions, multilingual transcripts and translation workflows for stages, hybrid broadcasts, AGMs, congresses and internal town halls.
Keynote summaries, panel takeaways, Q&A clustering, short-form highlight generation and business-ready post-event notes.
Brand-trained assistants, sentiment analysis, theme detection and source-linked response systems for booths, apps, internal events and reports.
An on-stage AI fails differently from a chatbot. It can't say 'I don't know' to a CFO at a quarterly. It can't drift in voice when a CEO is presenting. It can't refuse a question in front of 5,000 people. Zlicc AI is the layer engineered around those constraints — brand-trained avatars, governed knowledge bases, real-time captions, and AI moments that look effortless because they're rehearsed like everything else on the stage.
Six categories. The full modular surface — most engagements use 8–15 of these. We design the stack to your room, not the other way around.
Avatars that perform.
Translation, captioning, transcription.
AI that has read the brief.
AI that finds, makes, sends.
AI as a production assistant.
What makes it stage-safe.
Every pillar can deploy on its own, but most rooms combine two or three. Below: where Zlicc AI sits in the broader system. Click any pillar to open its page.
A small selection of recent deployments. The full case-study breakdowns sit in the Work section — click through for the operational detail behind each room.
A brand-trained digital human moderated the AI track — introduced sessions, fielded audience Q&A in three languages, and handed off seamlessly to human moderators on contested questions.
Real-time captions and translations in 8 languages, with multilingual Q&A routing. The Q from a Geneva-based delegate appeared on screen translated and answered in the speaker's native tongue.
AI photo retrieval — every delegate's face was indexed at registration and could pull personalised photo packs from a single QR scan post-event. 4× higher post-event share rate.
Four phases, named accountabilities, locked timelines. The team that designs the stack is the team that runs it on the day.
No hand-offs to a different ops team on day-zero. The Zlicc people who design your Zlicc AI stack are the same people in the green room and the control room. Every engagement gets a build lead, a run lead, and a measure lead — all named on the contract.