Mashgin

AI computer-vision self-checkout. The Touchless Checkout System rings up multiple items in ~half a second at 99.9% accuracy, no barcodes needed. $1.5B unicorn, backed by NEA.

Services Computer Vision / Retail Technology / Self-Checkout
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Palo Alto, CA, USA HQ
150 employees
2013 founded

What is Mashgin?

Mashgin builds an AI-powered, computer-vision self-checkout system. Its Touchless Checkout System uses cameras and machine learning to identify items from virtually any angle and ring them all up in a single transaction, without barcodes, RFID tags, consistent packaging, or particular item orientation. The company claims it rings up multiple items in about half a second with a 99.9% identification accuracy rate, making it one of the fastest self-checkout systems in the world. Mashgin was founded in 2013 by Abhinai Srivastava (CEO) and Mukul Dhankhar (CTO), who first met living in the same dorm at the Indian Institute of Technology (IIT) Delhi. The company went through Y Combinator. Its kiosks are deployed across stadiums and arenas, airports, corporate and institutional cafeterias, and convenience retail, where checkout speed and reduced staffing pressure matter most. In May 2022 Mashgin raised a $62.5M Series B led by NEA at a $1.5B valuation, reaching unicorn status; Matrix Partners, an existing investor, also participated, bringing total funding to roughly $74.7M. The company is headquartered in Palo Alto, California.

Mission & values

Make checkout instant and effortless by using computer vision to identify anything a customer buys, so people spend less time in line and businesses run more smoothly.

Qualifications

Mashgin hires across engineering (computer vision, machine learning, deep learning, embedded and hardware, backend, distributed systems, mobile, firmware, QA), product, design, hardware and manufacturing operations, deployment and field engineering, sales, sales engineering, customer success, marketing, and G&A. The heaviest concentration is in computer-vision and ML engineering, since the product is fundamentally a real-time visual recognition system, plus hardware and embedded roles for the physical kiosks. Application flow lives at mashgin.com/careers. The company is anchored to its Palo Alto headquarters with on-site or hybrid expectations for hardware, lab, and many engineering roles, while some software and field-deployment roles are more location-flexible. Candidates with hands-on production experience in real-time computer vision, model deployment on edge hardware, or retail-systems integration are strongly prioritized.

Leadership

A

Abhinai Srivastava

Co-Founder & Chief Executive Officer

Co-founded Mashgin in 2013 and leads the company as CEO. Met co-founder Mukul Dhankhar in the same dorm at IIT Delhi. Background in computer vision and software engineering.

M

Mukul Dhankhar

Co-Founder & Chief Technology Officer

Co-founded Mashgin in 2013 and leads technology and the computer-vision architecture as CTO. Met co-founder Abhinai Srivastava at IIT Delhi.

Hiring process

  1. 1

    Apply at mashgin.com/careers

    Browse open roles and submit through the Mashgin careers portal.

  2. 2

    Recruiter screen

    Confirms role fit, target level, location and on-site expectations, and salary expectations.

    About 7 days

  3. 3

    Hiring manager interview

    Deep conversation with the manager who owns the position and the team context.

    About 7 days

  4. 4

    Technical loop

    Engineering: coding, ML or computer-vision system design, and often a take-home or lab exercise on real-time recognition or edge deployment. Hardware: design review and embedded problem-solving. GTM: case study.

    About 14 days

  5. 5

    Values interview and offer

    Cross-functional interview on collaboration and ownership, followed by an offer with base, bonus, and equity.

    About 7 days

Funding

StageSeries B
Total raised$74,700,000
Investors
New Enterprise Associates (NEA) Matrix Partners Y Combinator

Awards & recognition

  • Series B at $1.5B valuation led by NEA (unicorn status) · 2022

    Mashgin

  • Claimed 99.9% item-identification accuracy at half-second checkout · 2026

    Mashgin

Company information

Frequently asked questions

What does Mashgin do?
Mashgin makes an AI computer-vision self-checkout kiosk. Its Touchless Checkout System identifies items visually from any angle and rings them up in a single transaction in about half a second, with no barcodes or RFID required, at a claimed 99.9% accuracy.
Who founded Mashgin?
Abhinai Srivastava (CEO) and Mukul Dhankhar (CTO) in 2013. They met living in the same dorm at IIT Delhi. The company went through Y Combinator.
How much has Mashgin raised?
Roughly $74.7M total. The May 2022 Series B was $62.5M led by NEA at a $1.5B valuation, with Matrix Partners also participating, making Mashgin a unicorn.
Where is Mashgin used?
Stadiums and arenas, airports, corporate and institutional cafeterias, and convenience retail, where checkout speed and reduced staffing pressure matter most.
Is Mashgin remote-friendly?
Partly. It is anchored to its Palo Alto headquarters with on-site or hybrid expectations for hardware, lab, and many engineering roles. Some software and field-deployment roles are more location-flexible.
What engineers does Mashgin hire?
Mostly computer-vision and ML engineers, since the product is a real-time visual recognition system, plus hardware, embedded, and firmware engineers for the physical kiosks. Production experience with real-time vision or edge deployment is strongly prioritized.

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