Priya M. Nair, a female entrepreneur and former corporate leader, has shared insights into her transition from corporate roles to founding a deep-tech artificial intelligence startup, highlighting the challenges and breakthroughs experienced along the way. Drawing on her extensive background with the UAE Air Force & Air Defence and over a decade in strategic roles within the American engineering sector, Nair transitioned into entrepreneurship following a personal health scare in 2019 and the reflective period brought on by the COVID-19 pandemic.
Her startup, ZWAG AI, focuses on combating linguistic bias in artificial intelligence with its innovative Mātṛ model. According to Nair, the model addresses a critical shortcoming in existing large AI language models, which are predominantly trained on English and a limited set of widely represented languages. This imbalance often leads to inaccuracies when interpreting complex grammar, cultural nuances, and tone in less common languages. Mātṛ is designed to mathematically detect divergences within linguistic structures and adjust AI interpretations in real time, without requiring retraining of foundational models.
Nair provided examples of how Mātṛ preserves linguistic and cultural integrity: in Japanese, the model maintains polite honorifics that conventional AI tends to flatten or misinterpret under English-centric logic. In legal contexts involving languages such as Turkish and Malayalam, where case marking is complex, Mātṛ safeguards against reducing conditional or passive statements to definitive assertions, preserving the subtlety critical to accurate testimony.
ZWAG AI’s Linguistics Intelligence Platform currently supports over 2,300 languages, with plans for expansion beyond 5,000, underpinning Nair’s belief that linguistic diversity is integral to digital inclusion. She emphasized the importance of maintaining language as a representation of identity, knowledge, and access, especially as AI becomes embedded in healthcare, education, and public services.
Nair pointed to the United Arab Emirates’ unique linguistic diversity as a strategic asset for advancing responsible and inclusive AI development. She proposed the establishment of a Centre of Excellence for linguistic sovereignty based in the UAE. Such a center would bring together native speakers and translators to contribute essential language data and judgments, ensuring AI systems honor linguistic accuracy beyond English-centric biases. Nair argued this initiative could serve not only regional needs but also democratize AI globally, marking the UAE as a leader in this space.
Reflecting on her own entrepreneurial path, Nair spoke candidly about the difficulties female founders face, particularly around fundraising. She noted that her team’s success in closing a pre-seed round was largely due to long-term relationship-building and trust developed through referrals. She advised aspiring women entrepreneurs to cultivate deep expertise, challenge existing norms, and maintain a global outlook from the outset. Nair underlined that resilience and persistence are crucial, sharing that she encountered three failures before achieving traction with Mātṛ.
Nair advocates for balancing commercial ambition with social responsibility, encouraging the creation of businesses that are not only competitive but also culturally and ethically impactful. Her experience underscores the intersection of innovation, inclusion, and leadership in the evolving AI landscape.