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About Us

About Us

As large language models (LLMs) shape the future of AI, Nucleosight emphasizes the critical need to support regional languages like Kashmiri, Urdu, and others. We address the underrepresentation of these languages by curating specialized datasets and developing advanced Generative AI models for Text Generation, Text-to-Speech, Speech Recognition, and Translation. Our voice-based solutions break linguistic barriers, empowering underserved communities with access to education, healthcare, and essential services in their native languages. By simplifying communication through intuitive voice interfaces, we ensure technology serves everyone, regardless of their language or technical expertise..

Why Choose Us

Part of Prestigious Startup Programs from Global Tech Leaders

Nucleosight is proud to be part of prestigious startup Programs from global tech leaders like Microsoft,Google and Nvidia. These partnerships empower us with world-class tools, cutting-edge infrastructure, and unparalleled expertise, enabling us to revolutionize AI for underrepresented languages.

Microsoft for Startups
Google Cloud for Startups
Nvidia Inception
Our Team

Meet Us

Aadil Rashid Bhat, PhD.
Founder & CEO

aadilbhat@nucleosight.com

With a PhD in AI specializing in unstructured data and a background in computer science, Aadil drives innovation in AI technologies.

Aadil also leads Nucleosight’s efforts in LLMOps and cloud resource management, ensuring seamless deployment and optimization of cutting-edge AI solutions.

Sajad Ahmad Kawa, PhD.
Founder & CTO

sajadkawa@nucleosight.com

With a PhD specializing in Neural Architecture Search, Sajad brings deep expertise in optimizing AI models.

He now focuses on developing innovative applications powered by large language models (LLMs), bridging advanced AI research with impactful real-world solutions.

Mohammad Munzir Ahanger, PhD.
Founder & COO

munzirahanger@nucleosight.com

With a PhD in AI specializing in Natural Language Processing (NLP), Mohammad Munzir is dedicated to advancing core research in large language models (LLMs).

His work focuses on pushing the boundaries of LLM capabilities, contributing to cutting-edge advancements in AI-driven language understanding and generation