Agents for audiovisual intelligence
We are building the layer for semantic content understanding.
Computer vision
Object Detection
Our agents identify every subject in every frame: people, faces, objects, products, text overlays,... This is the foundation for smart cropping, speaker tracking, and knowing which moments are visually interesting and relevant to your story.
Computer vision
Segmentation
Our segmentation agents return the precise pixel boundary of every subject. This powers background replacement, subject isolation, smart blur, and clean vertical reframing. All without doing any manual masking.
Computer vision
Object Counting
Counting goes beyond detection: it tracks instances across frames, handles occlusion and re-entry, and builds a presence score for each subject. We use this to find the shots where the right people are on screen, and cut away when they leave.
Computer vision
Action Understanding
We classify actions, gestures, and engagement signals across every video. Whether a speaker leans in, raises their voice, or makes a key point. This temporal action understanding is what turns raw detection into judgement to take nuanced editing decisions.
Audio understanding
Beat detection
We extract the precise BPM, time signature, and individual beat timestamps from the audio track. Every cut and transition can be locked to the beat automatically, making edits feel energetic and intentional without a single manual adjustment.
Audio understanding
Pace Detection
Speech pace is one of the strongest signals for edit decisions. A speaker who slows down is making a point. One who speeds up is building momentum. We track words-per-minute across the whole recording and use pace shifts to find natural cut points and highlight peaks.
Audio & Vision
Mood Detection
We embed audio and video into a multi-dimensional mood space to detect calm, energetic, focused, tense, etc. feelings that come across, and how to build them in video edits. We find the moments that carry the right emotional weight for the content you're building.
The Pipeline
From raw footage to structured intelligence
Every video you upload passes through our full intelligence stack. The output is a semantic index of every moment in your footage, searchable and reusable across every project.
01
Ingest
Video is uploaded, decoded, and split into audio and visual streams for parallel processing.
02
Vision Analysis
Detection, segmentation, counting, and action classification run in parallel across every frame.
03
Audio Analysis
Beat, pace, mood, and speech transcription extracted from the audio signal simultaneously.
04
Semantic Fusion
Vision and audio signals are merged into a unified semantic timeline.
05
Video Generation
Agents select, cut, caption, and format clips based on the semantic index and your intent.
