One layer. Every team drowning in its own video.
Vivu makes any video library queryable. Here is where teams put it to work first.
Marketing
Your library only answers if someone tagged it first.
Marketing teams sit on webinars, events, and customer stories, but the search only returns what was manually tagged, and a clip you know is in there never surfaces. Vivu reads what is actually in each video, what is shown, said, and written on screen, so you find the exact moment by meaning instead of by whether someone labeled it.
Sales & enablement
You can search a word. You can't search a theme.
Call tools match a keyword, then make you dig into one account and filter down. Ask for the moment a customer described the problem you solve, or every call where pricing came up, and the trail goes cold. Vivu is built to connect your calls so that a plain-language question returns the exact moments across them, with the context around each, not just a list of keyword hits.
Training & enablement
The answer is a 90-second stretch buried in a 60-minute session.
Training libraries grow faster than anyone can re-watch them, and the part that explains one concept is lost in hours of recording. A new rep needs the two minutes on objection handling from a three-hour onboarding, and finds it by what was actually taught, not by scrubbing or hoping someone added chapters.
Events & field marketing
Keep a conference working long after the lights go down.
A conference is searchable the day it ends, not the quarter later when every session is already buried. Find any moment by what was said and shown, while the momentum is still there.
AI & product teams
Give your agents real footage to build on.
Grounding an AI video in real material today means hunting down the clip and uploading it by hand, so most teams skip it and generate from nothing, and the output comes out synthetic and interchangeable. Vivu is built to let the generation tools you already use query your library through the API and pull the exact real moments to build on, no hunting, no re-uploading.
Robotics & remote operations
Telemetry tells you an incident happened, not where it is.
Fleet and remote-operations teams record every run, then reconstruct an incident by first working out which unit, which run, and roughly when, and scrubbing from there. Vivu indexes the recordings you already keep, so a review starts from a description of what happened and comes back with the exact seconds, each carrying its timecode and source recording. It reads stored video only, and stays out of the live control path.
Customer support & CX
The customer filmed the problem. It gets watched once.
Support teams receive video because showing a fault is easier than describing it, and one agent watches the clip before it is filed against the case. The analysis that follows reads what customers said, not what they showed. Vivu indexes those clips, so the same visual failure turning up across hundreds of separate cases can be pulled up in a single query, each moment carrying its timecode and the case it came from.
The same problem, everywhere there is video.
The need to reach inside video by meaning is proven and paid for, far beyond marketing. We do not build for these worlds.
Search by what is in the frame.
Teams comb thousands of hours of footage for a person in a red shirt or a truck at the loading dock. The best tools cut incident discovery from half a day to seconds.
One shot in a sea of footage.
Editors lose hours hunting a single shot across terabytes of raw video, by filename and memory.
The archive is the product.
Archive teams pull footage by person, event, and scene every day to build what airs next.
We go deepest where we can be most useful first: the video a business markets with, the runs an operations team records, and the clips customers send support. The layer that works there works anywhere there is video to reach into.
Further reading
All pagesSee it on your own video, or talk to us about the library.
Try Vivu on one video, or bring us the workflow you are trying to fix.