Quality Outcomes Based Upon Industry-Leading Expertise. Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML) as well as Quality Assurance and Testing of hardware devices, software apps and experiences.

Software

Q Analysts

Q Analysts' headquarters in Santa Clara, CA, United States

Michael Bush

Aaron Eastburn

Stephen S.

Robb M.

Hans Schneider

Aleksandr Torbin

Glenn Alkinburgh

Arian Barvarz

Matthew Freeburn

Vikas Krishnan

Atishi Bali

Thuy Mach

Colleen Zahn, SHRM-CP

Jocelyn Viig

Andrew Horobin

Catalino S.

Colin McCarty

Dalius Grazinskis

Dejuan Wyatt

Dominick Toulouse

Eric Gable

🔑 Matthew Weber

Madhavi Kotha

Subha Sanjeevi

Kevin Komisarz

William Mempa

Marvin Harris-Goodrich

Daniel Pawlak

Robel Asfaha

Nataliya Kancheva

Rova raharinirina

Ninah RANDRIANANDRIANINA

Mohamed Alghafafi

Mihanta Rajaonah

Mahefa Mahenina RANDRIANALIMANANA

José RANDRIANARISON

Idris Rashad Barber

Hanitra RAJAONSON

Felana Rabe

David Rasamoelina

Diem Pham

Anjarasoa Estelle Rakotonirina

Annie Diana Malalatiana

Arpita Vyas

Anish Pamula

Thierry Andriamihaja

Nadezhda Shalobalo

Cassius Deutsch

Xiumei Lu

Nicole Tjoa

Monica Patricia G.

Manuella Myrhhe A. Rambelomaromanana

Liva Lionel ANDRIAMIHANTAMANITRA

Jeff Vuong

Hajatiana RANDIMBIARIMANANA

Fala H.

Dyna Raberanto

David Lathrop

Arivony Mbolatiana RANDRIANAMBININA

Nitin Trivedi

Sangeetha Ravi

Piper Berge

Munir Iqtish

The Quality Assurance and Testing Team at Q Analysts ensures high-quality outcomes by leveraging industry-leading expertise to rigorously test hardware devices, software applications, and user experiences. They provide ground truth data services for AI and ML projects, conduct meticulous testing, and validate functionality, performance, and reliability across various platforms and environments, including Meta and Google products.

Quality Assurance and Testing Team

The Data Collection and Analysis team at Q Analysts focuses on gathering, processing, and interpreting data critical to AI and ML projects. Their responsibilities include collecting ground truth data, ensuring data integrity, and analyzing datasets to support quality assurance and testing efforts for various hardware devices, software applications, and emerging technologies. The team plays a pivotal role in providing accurate and actionable insights to drive project outcomes and enhance overall quality.

Data Collection and Analysis

The Recruitment and Talent Acquisition team at Q Analysts is responsible for sourcing, attracting, and hiring top-tier talent to support the company’s industry-leading services in AI, ML, and Quality Assurance. This team identifies and engages qualified candidates across technical and non-technical roles, ensuring that the organization has the expertise needed to deliver high-quality outcomes for its cutting-edge projects. They focus on both local and international markets, managing the end-to-end recruitment process to build a robust and dynamic workforce.

Recruitment and Talent Acquisition

The Engineering team at Q Analysts focuses on developing, testing, and maintaining software and hardware solutions to ensure quality and performance. They work on creating and releasing secure and efficient builds, developing and testing both software applications and hardware devices, and providing specialized services in AI and ML. Team members include engineers and developers with expertise in Unity, validation testing, and system testing for high-profile clients like Google and Meta.

Engineering

The Project and Program Management team at Q Analysts orchestrates and oversees the planning, execution, and delivery of AI and ML data services, as well as QA and testing projects for hardware and software. They ensure projects are completed on time, within scope, and budget, while maintaining quality outcomes through their industry-leading expertise.

Project and Program Management

The Human Resources and Workforce Management team at Q Analysts is responsible for overseeing employee relations, managing workforce logistics, and ensuring smooth HR operations. They focus on optimizing staff deployment to support AI, ML, and quality assurance projects while fostering a positive work environment and efficient HR processes.

Human Resources and Workforce Management

Q Analysts

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