# Averroes.ai

> Averroes.ai is a San Mateo-based startup building a no-code AI visual inspection platform that helps manufacturers automatically detect, classify, segment and monitor defects on their production lines. Founded in 2021 by Tareq Aljaber and Omar Altamimi, the company targets semiconductor, electronics, pharmaceutical, food and beverage, and oil and gas producers, promising 99%+ inspection accuracy, deployment in under five days, and models trained on as few as 20-40 images per defect class without writing code or buying new hardware.

- **Founded:** 2021
- **Headquarters:** San Mateo, California, United States
- **Founders:** Tareq Aljaber (Co-Founder & CEO), Omar Altamimi (Co-Founder)
- **Team size:** ~15 employees
- **Products:** AI Visual Inspection Platform, Defect Detection, Defect Classification, Defect Segmentation, Virtual Metrology
- **Notable:** Reports 99%+ classification, >98.5% detection and >97.7% segmentation accuracy on its platform., Claims models can be trained with as few as 20-40 images per defect class - far below typical deep-learning requirements., Reports customers catching 40-60% more submicron defects on existing inspection equipment and ~30% productivity gains.

## Products & services

- **AI Visual Inspection Platform** — End-to-end, no-code platform for automated defect detection, classification, segmentation, review and monitoring across manufacturing lines.
- **Defect Detection** — Submicron-level flaw identification using advanced image processing on existing inspection equipment; reported >98.5% object detection accuracy.
- **Defect Classification** — Automated identification of defect types with minimal false positives; reported >99% classification accuracy.
- **Defect Segmentation** — Precise pixel-level mapping of defect areas; reported >97.7% segmentation accuracy.
- **Virtual Metrology** — AI-driven measurement and process insight derived from inspection imagery, aimed at semiconductor process control.
- **Defect Review & Monitoring** — Human-in-the-loop validation and continuous monitoring with active learning so models improve over time.

## Achievements

- Reports 99%+ classification, >98.5% detection and >97.7% segmentation accuracy on its platform.
- Claims models can be trained with as few as 20-40 images per defect class - far below typical deep-learning requirements.
- Reports customers catching 40-60% more submicron defects on existing inspection equipment and ~30% productivity gains.
- Positions deployment to production in under five days versus multi-month industrial AI pilots.
- Presented at the Vision Spectra Inspection Summit 2025 on AI redefining the future of visual inspection.

## Latest updates

- **2025-11** — Published whitepapers on EUV defect detection and AI adoption in semiconductor manufacturing.
- **2025-06** — Presented at the Vision Spectra Inspection Summit 2025 on how AI redefines visual inspection.
- **2021-12** — Closed seed funding round backed by Shorooq Partners and Plug and Play Tech Center.

## Links

- Website: https://averroes.ai
- LinkedIn: https://www.linkedin.com/company/averroes-ai-inc
- Twitter/X: https://x.com/AverroesAi
- YouTube: https://www.youtube.com/@AverroesApp
- Facebook: https://www.facebook.com/profile.php?id=61553392749664

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Profile page: https://yespress.io/averroes-ai
Published by YesPress — https://yespress.io
Last updated: 2026-07-07