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ArgosAI logo — Safe. Efficient. Built with AI.

ArgosAI

Safe. Efficient. Built with AI.

Founded 2015 Turkey Turkey 13 employees Venture round Total: $532.00K AI, Computer Vision +4

General Information

Company Name ArgosAI
Founded Year 2015
Location Turkey Turkey
Founders / Decision Makers
Team member
Employees 13
Industries AI, Computer Vision, Enterprise Software +3
Funding Stage Venture round
Business Model B2B, SaaS
Revenue Model Subscription, Usage Based, Service Fee
Social

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About ArgosAI

ArgosAI, founded in 2015 and headquartered in Turkey, is at the forefront of digital transformation in the airport industry. Its focus lies in automating ground operations through innovative technologies rooted in artificial intelligence and computer vision.

Living by their slogan, "Safe. Efficient. Built with AI.", the company has pioneered the world's first AI-driven automated Foreign Object Debris (FOD) detection system, A-FOD. This patented system enhances airport safety by providing continuous, accurate FOD detection without causing electromagnetic interference, potentially saving airlines up to €80M annually.

ArgosAI also offers real-time data and analytics to improve operational efficiency and customer satisfaction in the aviation sector. The last known investment came in the form of a Venture Round on 30 July 2021, led by MV Holding. Positioned within industries like AI and Machine Learning, ArgosAI represents a promising opportunity for investors seeking innovation in airport automation.

Business keywords: AI for Aviation, Computer Vision, FOD Detection, Airport Automation, Deep Learning, Runway Safety, Electro-Optical Sensors, Ground Operations Optimization, Real-Time Monitoring, Airside Operations, Pattern Recognition, Image Segmentation, Robot Vision, Aviation Analytics, Safety Critical Operations

Services & Products

Remote and automated airside inspections
AI-based anomaly detection
Continuous airside monitoring
Customizable AI safety tools

Target Customers

Airports Airside Operations Teams Airport Safety Managers

Funding Rounds & Investors (7)

View All
Funding Stage Amount Investors Lead Investors Date
Venture Round Undisclosed 1
MV Holding
MV Holding
30 Jul 2021
Grant $70.00K -
01 Nov 2018
Seed Round $160.00K -
01 Aug 2018
Grant $110.00K -
01 Mar 2018
Seed Round $150.00K 1
EASME
01 Sep 2017
Grant Undisclosed -
01 Jul 2017
Grant $42.00K -
01 Mar 2016

ArgosAI Alternatives & Competitors

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ArgosAI vs
AeroCloud
AeroCloud United Kingdom

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116 employees
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ArgosAI vs
Intenseye
Intenseye United States

Real-Time Safety Management & SIF Prevention, Powered by AI

Series B
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ArgosAI vs
Aurora-AI
Aurora-AI United Kingdom

Intelligence in Aviation

3 employees
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FAQ About ArgosAI

Safe. Efficient. Built with AI.
ArgosAI was founded in 2015.
ArgosAI is headquartered in Turkey.
ArgosAI operates in AI, Computer Vision, Enterprise Software, IT, Transportation and Machine Learning. Its work centres on AI for Aviation, Computer Vision, FOD Detection and Airport Automation. Its customers include Airports, Airside Operations Teams and Airport Safety Managers.
ArgosAI has a B2B and SaaS business model. Its revenue comes from Subscription, Usage Based and Service Fee.
ArgosAI has approximately 13 employees.
ArgosAI has completed 7 funding rounds, raising a total of $532.00K. The latest funding stage is Venture round.
ArgosAI offers: Remote and automated airside inspections, AI-based anomaly detection, Continuous airside monitoring, Customizable AI safety tools.
Top alternatives and competitors to ArgosAI include AeroCloud, Intenseye, Aurora-AI, ZeroEyes, peoly.com. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
ArgosAI and AeroCloud are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for ArgosAI, https://bouncewatch.com/company/argosai, updated 25 September 2026. When citing, please name BounceWatch and link this page.

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