Vision AI for Automation
How Vision AI Drives
Improvement
Leela AI
Cyrus Shaoul, Co-Founder, CCO
Leela AI
Presented at the 2026 Automate Conference in Chicago, IL.
- Reasons for incomplete data:
- Manual work areas
- Critical legacy equipment
- Multiple processes to produce one output
- Incomplete machine data
- Identify objects, actions, activities
- Measure events, interactions, and duration
- Track many processes from one viewpoint
- All data is logged in a consistent and easy to access format
- Integrate with IoT, MES, BI, ERP
- Or bypass the middleware
- What is the productivity of the current process?
- Reality on the floor rarely matches the production plan
- Bottlenecks are easy to misidentify
- Measure before changing the process
Case Study
- Narrative before measurement
- Workers reported that waiting for pallet wrappers slowed down truck loading
- The data showed
- Little to no wait for pallet wrappers, low wrapper utilization
- Loaders not on the floor
25% of shift - The data showed
- Savings of $250k per quarter
maintain performance
- Workstations: AI model flexibility enables easy ramp up
- Use cases: Covering multiple uses cases at same station
- Time: Ability to scale from day to years
- Data: Consider storage windows. How much look back and meta data do you need?
- Integrations: MES, ERP, WMS, EHS, QMS, IoT and beyond
Requirements
Cyrus Shaoul
Co-Founder
Leela AI
1070 Broadway
Somerville, MA, 02144
USA
Telephone: +1-617-249-4974
Email: cyrus@leela.ai
www.leela.ai
Co-Founder, CCO, Leela AI
Cyrus is an entrepreneur with expertise in machine vision and computational cognitive modeling. Cyrus has spent the last 7 years learning about the world of manufacturing operations and logistics operations from customers.
In June 2026, Cyrus Shaoul from Leela AI gave a presentation at the Automate Show that is put on by the Association for Advancing Automation. This presentation explains how you can use Leela AI to enhance your automation projects with visual intelligence from Leela.
Leela AI’s customers use our vision AI platform to benchmark systems before automation, validate ROI after automation, and reduce downtime around automation.
Click on the slides above to advance the presentation, or download a DPF version by clicking here.