Async Onboarding Video Library Built From Support Tickets and Recordings
Velo turns raw screen recordings into shareable AI-edited videos, solving the speed half of async video. The unsolved half: customer success teams still rebuild the same explainer video three times a quarter because there is no library that links a video to the support ticket, feature flag, or persona that triggered it. Existing tools (Loom, Tella, Velo) are recorder-first; what is missing is a CS-team-first knowledge base that turns one-off recordings into a deduplicated, searchable onboarding library tied to product analytics.
Problem Statement
Today CS reps record a Loom for a confused customer, paste the link in the ticket, and forget about it. The next rep records nearly the same video for a similar question because they cannot find the previous one, or the link 404s. Help-center articles are out of date because nobody re-records the screen capture after a UI change. There is no system mapping which feature change made which video stale, or which persona the video was actually useful for.
The Idea
An async video knowledge base for B2B customer success teams that automatically clusters Loom and screen recordings by feature, ticket, and persona, then surfaces the right clip inside Intercom, Zendesk, and the in-app help drawer.
Why Now
Loom-style screen recording adoption inside CS and support teams is now mainstream, and AI editors like Velo make production cheap enough that teams record more clips than they can organize. At the same time, support staffing is being cut and ticket volume is moving to async. CS leaders are being asked to deflect more tickets with reusable content but lack tooling that connects video assets to the ticketing system or to product analytics.
Target User
Customer success and support managers at 50-500-employee SaaS companies running Loom + Zendesk/Intercom and trying to deflect tier-1 tickets without growing headcount
Target Market
B2B SaaS customer success and support enablement
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