Space Operations.mp4
Play the actual archive source, then open its synchronized analysis.
AMAMI is a next-generation media asset management system built on the Semantic Media Intelligence Engine. It transforms processed video libraries into clear, searchable knowledge with direct access to every source frame.
Play the actual archive source, then open its synchronized analysis.
These are the same full source videos used inside AMAMI. Every result remains connected to the original frame and timecode.
NASA Launch Pad explains astrobiology, methane on Earth and Mars, spectroscopy, and the search for signs of life beyond Earth.
NASA Our World explains the Solar System, the planets orbiting the Sun, and how astronomers classify planets, moons, asteroids, meteors, and comets.
A workspace for finding, verifying, and reusing media materials.
Finds exact keywords and semantically related excerpts in speech and on-screen text.
Generates concise answers only from archive materials and shows supporting excerpts.
Groups faces, recognizes objects, and helps locate every appearance across materials.
Synchronizes speech, on-screen text, and timecodes for fast source verification.
Shows co-mentions between people, organizations, places, and related video excerpts.
Combines important excerpts from different files into one thematic story.
Materials already contain transcripts, OCR, faces, objects, and extracted entities.
Use Ask AMAMI, the graph, or entity dossiers depending on your research task.
Open the found excerpt at the exact timecode and save it to a working collection.
AMAMI accelerates discovery and verification wherever video is a critical source of knowledge.
Find soundbites, people, and events across years of broadcast footage.
One search layer for interviews, conferences, learning content, and internal video.
Build verifiable collections and return to the source in one step.
AMAMI can run on-premises or in a private cloud. Source media remains under your control, and every answer links back to supporting evidence.
Open the demo archive and follow the built-in step-by-step tutorial.