Industrial AI
Built for Real
Manufacturing
Problems

AI-innovate is a Canada-based industrial AI company helping
manufacturers use machine vision, edge AI, and production data
to detect defects earlier, improve quality, reduce waste, and make
better operational decisions.

Why AI-innovate
Exists

Manufacturing has become faster, more complex, and more
data-driven. But many quality systems have not kept up.

Across industrial production lines, most SME manufacturers still rely
on manual inspection, sample-based quality checks, disconnected
systems, and reactive decision-making. Defects are often found too
late, after waste has already been created, rework has increased, or
customer quality has been affected.

 

AI-innovate was created to close that gap.

We build practical industrial AI inspection solutions that help
manufacturers detect defects in real time, understand quality patterns,
and connect inspection results with better production decisions. We
focus on deployable systems, not abstract AI experiments.

OUR PURPOSE:

To help manufacturers move from late, manual,
and fragmented quality control to earlier
detection, clearer visibility, and smarter process
improvement.

CEO - MEHDI SANJARI

From Defect Detection to Quality Intelligence

AI-innovate began with AI-based visual inspection and defect detection. Early work focused on proving that computer vision and deep learning could identify defects on industrial surfaces and production lines more reliably than manual inspection. But real manufacturing projects showed us something important:

"detection alone is not enough."

Manufacturers need inspection systems that work inside real production environments. They need systems that can fit existing lines, connect with industrial equipment, support operators, generate useful reports, and help teams understand recurring quality issues. That insight shaped the evolution of AI-innovate.

Today, our direction goes beyond finding defects. We help manufacturers build inspection workflows that connect detection, traceability, reporting, and root-cause investigation.

The goal is not only to know that a defect happened. The goal is to also understand where it happened, how often it happens, what patterns are emerging, and what decisions should follow.

Who We Help

AI-innovate creates the most value for SME manufacturers with real, recurring, and costly production or quality challenges.

Our solutions are especially relevant for industries such as metals and aluminum, polymers, textiles, packaging, food processing, paper and board, sheet production, and conveyor-based manufacturing environments.

Our People

Our team combines technical depth with practical production awareness. That matters because industrial AI inspection is not only a software challenge. It requires understanding how factories operate, how quality decisions are made, how operators interact with systems, and how production teams evaluate risk, cost, and reliability.

Our Team

Mehdi Sanjari, PhD, PEng

CEO

Hamid Reza Pourreza, PhD

CTO

Maryam Sabet

Chief Business Development Officer

Kate Withers Hess

Business and Development Strategist

Negin Kamran

Marketing

Mary Gallerneault

Manufacturing Specialist

Randy Hendriks

Sales and Marketing Specialist

Amin Chalabi

Financial Manager

Maryam Emami

Manufacturing Intelligence Strategist

Advisory Board

Roger Hallett

Roy Pietila

Mark Gallerneault

Let's Talk About Your
Production Challenge

Whether you need to automate inspection, upgrade an existing system, reduce waste, or understand recurring quality issues, AI-innovate can help identify the right inspection path for your operation.

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