Averroes.ai

Averroes AI is a company revolutionizing high-precision manufacturing through advanced AI-driven visual inspection and virtual metrology software. Their platform offers no-code, customizable AI models for defect classification, detection, segmentation, and monitoring, achieving over 99% accuracy and seamless integration with existing inspection equipment without additional hardware. Serving diverse industries such as semiconductors, electronics, oil and gas, pharma, food and beverage, and solar, Averroes enhances manufacturing quality control by automating inspections, reducing labor hours by 300+ hours monthly per application, and boosting product quality by 30%. Their solutions support flexible deployment options including on-premise and cloud, continuous learning AI, and real-time defect monitoring, positioning them as a leader in AI-powered manufacturing quality assurance.

AIAutomationDeep LearningDefect DetectionManufacturingQuality ControlVirtual MetrologyVisual Inspectionaverroes.ai

Averroes.ai

AIAutomationDeep LearningDefect DetectionManufacturingQuality ControlVirtual MetrologyVisual Inspectionaverroes.ai

HQSan Mateo, US

Team Size12

Open Jobs5

Total Funding-

Latest Fundraise4 years ago

TL;DR

Product: No-code AI visual inspection and virtual metrology platform for manufacturing

Accuracy: Claims 99%+ defect detection and ~98.5% object detection

Founders: Tareq Aljaber and Omar Altamimi

Headquarters: San Mateo, California

Investors: Shorooq Partners (disclosed round)

Company Overview

Problem Domain

Manufacturing quality control and automated visual inspection (notably semiconductors and related industries).

Founded

2021

Industry

Semiconductor Manufacturing

Tech Stack

WordPress

Google Tag Manager

Content Delivery Network

DNSSEC

HSTS

Google Maps

Funding Track Record

Pre-seed / Seed- 2022-01-01

Disclosed round listed in public profiles; amount not published

Investor Signal

“Shorooq Partners lead investor”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Averroes.ai

AIAutomationDeep LearningDefect DetectionManufacturingQuality ControlVirtual MetrologyVisual Inspectionaverroes.ai

Averroes.ai

AIAutomationDeep LearningDefect DetectionManufacturingQuality ControlVirtual MetrologyVisual Inspectionaverroes.ai

HQSan Mateo, US

Team Size12

Open Jobs5

Total Funding-

Latest Fundraise4 years ago

TL;DR

Product: No-code AI visual inspection and virtual metrology platform for manufacturing

Accuracy: Claims 99%+ defect detection and ~98.5% object detection

Founders: Tareq Aljaber and Omar Altamimi

Headquarters: San Mateo, California

Investors: Shorooq Partners (disclosed round)

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Company Overview

Problem Domain

Manufacturing quality control and automated visual inspection (notably semiconductors and related industries).

Founded

2021

Industry

Semiconductor Manufacturing

Tech Stack

WordPress

Google Tag Manager

Content Delivery Network

DNSSEC

HSTS

Google Maps

Funding Track Record

Pre-seed / Seed- 2022-01-01

Disclosed round listed in public profiles; amount not published

Investor Signal

“Shorooq Partners lead investor”

Founders

What we do

Join the Team

Full Stack Engineer

RemoteBengaluru, Karnataka, IN

Remote • Bengaluru, Karnataka, IN

Company Description

Averroes.ai is revolutionizing high-precision manufacturing through Deep Learning, redefining visual inspection processes to enhance quality and efficiency. By transitioning from Software 1.0 to 2.0, we seamlessly integrate AI into inspection tools, enabling real-time defect detection and improved process control. Our solutions drive error reduction, yield improvement, and optimized production across industries. With a versatile AI engine that adapts to existing tools, we empower manufacturers without the need for overhauls. Together, we are building the future of AI-driven quality control in manufacturing.

Role Description

This is a full-time, on-site role for a Full Stack Engineer, located in India. The Full Stack Engineer will work on designing, developing, and maintaining scalable software solutions. Responsibilities include collaborating on front-end and back-end development, integrating AI solutions into software frameworks, and optimizing application performance. The role involves problem-solving in a fast-paced environment to support high-precision manufacturing processes with innovative technology.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

Full-timeNovi Sad, RS

Full-time • Novi Sad, RS

Machine Learning Engineer

Part-timeNew York, US

Part-time • New York, US

Frontend Developer

Full-timeManchester, GB

Full-time • Manchester, GB

Software Engineer

ContractTel Aviv

Contract • Tel Aviv

AI Researcher

ContractTel Aviv

Contract • Tel Aviv

Frontend Developer

Part-timeNiš, RS

Part-time • Niš, RS

Minimum 6 years of professional experience in full-stack development with strong backend expertise.
Proven track record with .NET (C#), microservices, and API-first design.
Advanced frontend development skills with React and Next.js.
Strong expertise in MongoDB (schema design, indexing, optimization, aggregation pipelines).
Proficiency in Full-Stack Development, including both Front-End and Back-End Web Development
Experience with Front-End technologies such as HTML, CSS, and JavaScript
Strong foundation in Software Development, including coding, testing, and debugging
Hands-on experience with Back-End technologies and server-side development
Ability to work collaboratively in multidisciplinary teams and solve complex technical challenges
Familiarity with integrating AI/ML solutions is a plus
Bachelor's degree in Computer Science, Software Engineering, or a related field
Strong communication skills and a passion for innovation

Lead the design, development, and optimization of high-performance backend services using .NET (C#), including RESTful API design and microservices architecture.
Architect and build scalable, responsive web applications using React and Next.js.
Define and implement MongoDB schemas, optimize performance, and leverage aggregation pipelines for large-scale data processing.
Drive cloud deployment and management across Azure, AWS, or GCP environments.
Champion containerization and orchestration practices using Docker and Kubernetes (K8s).
Establish and maintain CI/CD pipelines for automated, reliable deployments.
Apply and advocate for modern architecture patterns such as event-driven systems, domain-driven design (DDD), and microservices.
Ensure security best practices across backend and frontend applications.
Collaborate with product managers, DevOps, and data science teams in an agile environment to deliver end-to-end solutions.
Mentor junior developers and contribute to setting engineering best practices.