Multimodal video understanding

See the unseen. Find the moment that matters.

Turn vast video archives into searchable knowledge with models that understand motion, dialogue, context, and intent.

Answers in minutes, not review cycles.

Framewise maps people, scenes, spoken ideas, and visual events into one precise index—ready for natural-language search or API retrieval.

Visual + spoken signalsContextual vector map

Built for demanding video operations.

Deploy indexing, discovery, and understanding across production libraries without changing the way your teams already work.

Search & discover

Ask your archive in plain language.

Find product close-ups after sunsetLocate every safety inspectionSummarize customer reactionsGenerate editorial markers

Create, scale, and move faster with video.

+14.7%Retrieval accuracy across complex prompts
11×Faster review and compliance tagging
3.6 hrsSaved per editor on a typical archive
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One foundation for every video workflow.

From creative research to compliance and media intelligence, one model adapts to the language of your business.

Creative libraries

Surface the exact shot, performance, or product moment from years of footage.

Sports intelligence

Understand plays, movement, formations, and audience-ready highlights.

Media monitoring

Track themes and brand presence across continuously arriving video.

Private by design

Your footage stays under your control.

Regional processing, scoped access, retention controls, and encrypted storage keep every frame protected from ingest to insight.

Explore security ↗

Perception and reasoning, made composable.

Build around two specialized model families, each tuned for a different class of video understanding.

Kestrel

Multimodal indexing

Dense temporal maps for search, clipping, classification, and recommendations.

Heron

Video-language reasoning

Detailed answers and summaries grounded in the moments that support them.

What teams discover.

Proof from organizations turning sprawling footage into usable knowledge.

“Framewise changed a week-long archive review into an afternoon of confident decisions.”— Maren Cho, media operations
“Our team finds niche moments with enough context to use them immediately.”— Idris Vale, content systems
“The API gave our editors a search layer that feels native to how they think.”— Alina Park, product lead
Your archive already knows

Ready to find what your video is holding?

Start building ↗