Turn footage into structured training programs
AI Video Training Intelligence
AI agents that analyze hundreds of hours of video footage, extract teachable moments, and build structured training curricula automatically.
The problem
Training content is buried in raw footage
You have thousands of hours of bodycam footage, field recordings, or operational video. The best training moments are in there. Nobody has time to find them.
Curriculum design is manual and slow
Subject matter experts spend months watching footage, tagging moments, and organizing them into programs. It is expensive, inconsistent, and does not scale.
New scenarios emerge faster than training adapts
The real world produces new situations daily. Your training program reflects what happened two years ago because updating it requires starting the manual process over.
When you deploy strategy agents for training
Hundreds of hours of unwatched footage become a structured training library. The agent does the watching. Your subject matter experts do the teaching.
The shift is from manual curation (one person watches everything) to intelligent extraction (agents surface the moments, humans validate and teach).
What changes for your team
Training coordinators stop being video reviewers and start being curriculum designers. The raw material — categorized, timestamped, organized — is already waiting for them.
New incidents or techniques are incorporated into training within days, not quarters. Your curriculum reflects the world your people actually operate in.
How our agents solve it
Automated moment extraction
Agents watch footage and identify teachable moments -- techniques used, outcomes achieved, critical decision points. Tagged and timestamped.
Technique categorization
Moments are organized by technique type, difficulty level, and outcome. A structured taxonomy emerges from unstructured footage.
Curriculum generation
From categorized moments, agents build progressive training paths. Beginner to advanced. Theory to application. All backed by real footage.
Continuous library updates
As new footage enters the system, agents identify new moments and slot them into existing curricula. Training stays current without manual intervention.
Working proof
NYPD De-Escalation Training Hub
Extracted and categorized 10 distinct de-escalation techniques from hundreds of hours of bodycam footage. Each technique backed by real-world video evidence.
Explore demo →Frequently asked questions
What types of video footage can your agents process? +
Any video with observable behaviors or techniques: bodycam footage, surgical procedures, field operations, customer interactions, manufacturing processes, sports performance.
How do agents identify 'teachable moments'? +
Our agents analyze visual context, audio cues, and behavioral patterns to identify moments where specific techniques are demonstrated, decisions are made, or outcomes are achieved.
Can we define our own technique categories? +
Yes. You provide the framework -- your existing curriculum, your technique taxonomy, your training objectives. The agents learn to identify moments that match your categories.
How accurate is the automated extraction? +
Accuracy depends on the clarity of the footage and the specificity of the technique. In our NYPD pilot, subject matter experts validated the agent's categorizations at a high rate. Human review remains part of the workflow.
Get Your Video Audit
One conversation. Your library analyzed. A strategy you can act on.
Get Your Video Audit