Resources
Concepts, definitions, and deep dives on video intelligence - from the team that builds custom AI engines for TV, events, and podcasts.
What Is Speaker Detection in Video?
Speaker detection is the process of automatically identifying who is speaking in video or audio content - labeling each voice segment by speaker, tracking individuals across recordings, and enabling search, filtering, and asset generation by person.
Custom AI for Events and Conferences - Speaker Kits, Clips, and Content Delivered Before Your Speakers Leave
Event companies and conference producers need video AI built for live sessions - not generic tools designed for pre-recorded content. Custom AI engines handle multi-speaker panels, fast turnaround, and per-speaker deliverables that off-the-shelf products cannot match.
Custom AI for TV Channels - Video Automation Built for Broadcast
TV channels need video AI built for broadcast workflows - not generic tools adapted from text. Custom AI engines handle multi-speaker footage, brand-specific formats, and on-air turnaround times that off-the-shelf products cannot match.
What Is Cloud-Based Video AI?
Cloud-based video AI is artificial intelligence that processes video content through remote servers managed by a vendor - no local hardware, no infrastructure setup. You upload or connect your footage, and the processing happens externally.
What Is On-Premise Video AI?
On-premise video AI is artificial intelligence software deployed inside your own infrastructure - your servers, your data center, your VPC - rather than processing video through an external cloud service. Your footage never leaves your environment.
What Is a Video Intelligence Engine?
A video intelligence engine is a purpose-built system that processes video content at scale - extracting structured data, identifying speakers, detecting visual context, and producing publishable assets automatically.
What Is Video-to-Data?
Video-to-Data is the process of extracting structured, searchable information from video content - turning footage into speakers, topics, quotes, timestamps, chapters, and metadata that your systems can actually use.