On-Demand Sales & Training Intelligence
Multimodal search over an archive of product demos and training video, so reps find the right clip mid-conversation and new hires can ask questions while they watch.
- Client
- Industrial manufacturing subsidiary
- Industry
- Manufacturing
- Services
- AI AgentsWeb Development
Results
- Years of footage searchable in natural language instead of by filename or memory.
- Timestamp-level retrieval fast enough to use during live customer conversations.
- Visually demonstrated actions found that transcript search missed.
- A reusable video layer ready for support, marketing, and product documentation.

Years of product demonstrations, machine walk-throughs, and training video held exactly the knowledge the company needed, locked inside footage nobody could search. Reps remembered that a video showed a capability but couldn’t find the moment during a customer conversation. New hires scrubbed through long recordings to learn a single feature.
Transcript search missed what was shown but never said: an operator changing a fixture or feeding a material without describing it. Answers had to come from the company’s own footage, not generic knowledge about industrial machinery, and the interface had to stay simple.
What we built
How the system works, step by step.
Index the archive
Videos are indexed ahead of time across both visual and audio content, so search stays fast in the field.
Search in plain language
Reps type what they need (“the press handling corrugated steel”) and get the exact moments, with timestamps, context, and previews.
Ask while you watch
New hires ask about the video in front of them (“What does the operator adjust before startup?”), and answers come from the relevant segments, transcripts, and visual context.
Reach across the archive
Broader questions pull related moments from other videos, not just the one playing.
Cache and reuse
Stored metadata and caching avoid re-analyzing video on every request.
- TwelveLabs
- Gemini 2.5 Flash
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