MULTIMODAL SEARCH INFRASTRUCTURE

Multimodal intelligence.Built for search.

The foundation for multimodal intelligence—making data searchable and reusable.

01 / MULTIMODAL MODELS

OmniSpectra

Encode multimodal content into comparable vectors, connecting data by meaning.

OmniSpectra Edge

On-device version

An on-device version of OmniSpectra for local inference.

Multimodal encoding, illustrated

Documents, images, video, audio and text are inputs to OmniSpectra, which encodes them into vectors. Content text and query text use the same encoder and are related by meaning in a shared semantic space. The content and vector positions are illustrative.

Content Query example· Text
  • Wind energy Documents
  • Wind turbines at sea Image
  • Illustrative wind farm video frame Video
  • “Wind power” Audio
  • Turbine checks Text

Offshore wind power

Shared semantic space
02 / PRODUCTS

Multimodal search. Made for your workflow.

01 Evidence across work files
Findcub demo interface showing a launch budget query, matching files and a document page preview.

Findcub

Find pages, timestamps and original evidence in complex work files on your Mac.

Discover Findcub
02 Video archive search
ShotAI demo interface showing a natural-language query for people walking along a beach at sunset and matching shots with previews and timestamps. Results and footage are illustrative.

ShotAI

Find reusable shots across video archives and projects, built for production and post teams.

Discover ShotAI

Start with your content.