---
title: "Line Balancing from Video: Balancing Your Line with Kaizen Copilot"
description: See how Kaizen Copilot turns a smartphone video into a balanced line in minutes, not days, in this 30-minute live demo with Q&A.
---

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# UPCOMING PRODUCT WEBINAR:

# **Line Balancing from Video: Balancing Your Line**  with Kaizen Copilot

TUESDAY NOVEMBER 10, 2026 | 1PM EST | 30 MIN

Balancing a line by hand means timing every task, rebuilding spreadsheets, and starting over whenever takt time, product mix, or staffing changes. By the time the analysis is done, the line has often already moved on.

In this product webinar, we’ll show how **Kaizen Copilot** turns a **simple smartphone video of a process into a balanced line in minutes, not days.** You’ll see the full workflow on one real process, from task times captured on video to work distributed across stations, so you can find bottlenecks and rebalance without starting from scratch.

 **What you’ll see:**

- **Kaizen Copilot overview:** A quick look at how one process video becomes time studies, line balancing, work instructions, ergonomics, and PMTS.
- **Line balancing demo:** One process taken from video to a balanced line, start to finish.
- **Live Q&A:** 20-minute demo is followed by 10 minutes for your questions with the presenter.

If you work in industrial engineering, continuous improvement, or operations, this is a practical look at balancing your line from video instead of stopwatch studies and spreadsheets.

 

 

**Date:** Tuesday, November 10, 2026  
**Time:** 1:00 pm EST  
**Duration:** 20min demo followed by 10min Q&A

#### Webinar Speaker:

![Aprameya Manjunath-edit](https://info.retrocausal.ai/hs-fs/hubfs/Aprameya%20Manjunath-edit.jpg?width=274&height=300&name=Aprameya%20Manjunath-edit.jpg "Aprameya Manjunath-edit")

#### Aprameya Manjunath, Director of Solutions Architecture, Retrocausal

#### Aprameya Manjunath is the Director of Solutions Architecture at Retrocausal, where he leads the development of Kaizen Copilot, an AI-powered Industrial engineering analysis tool. Over the past few years, he has worked with top U.S. manufacturers to transform manual Industrial engineering assessments into automated, AI-driven solutions. Earlier in his career, he served as a manufacturing engineer at a leading automotive company, collaborating with shopfloor teams to improve efficiency and quality. With a unique blend of expertise in industrial engineering and computer vision technology, Aprameya brings both practitioner-level insight and product innovation experience, bridging the gap between traditional IE practices and next-generation AI solutions.

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