Data Analyst (Punjabi Speaker)

Peroptyx's journey began in 2018, co-founded by Paul McBride and Maeve Bleahene, with a vision to enhance the way artificial intelligence systems understand and interact with the real world. Headquartered in Castlebar, Co. Mayo, Ireland, the company set out to address a critical need in the rapidly evolving AI landscape: the necessity for high-quality, locally relevant data to train and evaluate machine learning models. The company recognized that for AI to be truly effective and unbiased, it needed to be calibrated with human insight and an understanding of nuanced, location-specific contexts. Dr. Dennis Jennings, a renowned figure who played a pivotal role in the development of the internet, serves as the company's chairman, bringing invaluable experience to the team.

From its inception, Peroptyx focused on building a global network of data evaluators and scientists. This network became the cornerstone of their platform, connecting customers – primarily global technology brands – with skilled individuals capable of providing the ground truth data essential for refining AI applications. The company's platform was designed with unique data security, geo-location, and identity innovations to minimize bias and errors in training data used for maps, search, music, voice, and generative AI services. This commitment to quality and security, including ISO/IEC 27001:2013 compliance, quickly established Peroptyx as a trusted partner for businesses aiming to deploy more locally relevant and reliable AI models. Early seed funding, including a significant €1.7 million round in 2021 led by Delta Partners, Enterprise Ireland, and the Western Development Commission, fueled Peroptyx's expansion across Europe and the establishment of a presence in Houston, Texas. This financial backing enabled the company to invest in its team, hiring for roles in data science, data quality, software engineering, and global recruitment, further solidifying its capacity to serve a growing international clientele and pursue its mission to deliver the most relevant data quality and model evaluation solutions for machine learning.