Transforming research into impact through startup incubation, venture acceleration, and tech transfer partnerships.
Supporting visionary founders to turn ideas into impactful, market-ready AI ventures.
Many of NAAMII’s startups have spun off directly from our research. Our incubation gives founders access to research expertise, mentorship in AI product development, and guidance to move from early-stage ideas to global ventures.
Originating from NAAMII’s research ecosystem, DIYO.AI develops text-to-speech, speech-to-text, and conversational AI systems, advancing linguistic equity and accessibility in Nepali and beyond.
Emerging from NAAMII’s work in computer vision and 3D reconstruction, NHU AI is building Captures Studio, a Gaussian Splatting-based platform for web-based virtual experiences in real estate and hospitality.
Growing out of NAAMII’s workforce ecosystem, Tangible is building an AI-powered workforce development platform that maps competencies to performance, streamlining hiring and enabling verified career growth.
From health tech to robotics, we provide the research backbone, technical development, and field validation that enable commercialization and adoption
Collaborating with industry and research partners to translate cutting-edge AI into solutions to high-impact challenges.
NAAMII provided expert supervision and technical R&D support to enhance Transcad’s robotics and transportation technology. Over six months, we optimized algorithms for 3D reconstruction and visual SLAM, advancing autonomous navigation capabilities and system perception.
NAAMII applied multimodal and federated learning to study how maternal diabetes affects fetal neurodevelopment. Our work combined AI with genome-wide methylation data to advance computational genomics, support early intervention research, and build local AI research capacity.
NAAMII developed AI tools for predictive analytics, segmentation, and surgical decision support. Our work included full-stack model development, backend integration, and performance optimization to enhance orthopedic care platforms.
NAAMII led research on federated and multimodal learning to analyze genomic data across distributed sources securely. Our contributions included novel algorithm development for privacy-preserving AI, enabling more accurate and ethical genomic research.
NAAMII created predictive AI models using clinical data from over 20,000 ICU patients. Our models support earlier intervention, enhancing patient outcomes and demonstrating the value of AI in critical care decision-making.
NAAMII developed and optimized deep learning models for image classification, detection, and active learning applications. We created pipelines to reduce data labeling needs while maintaining model performance, strengthening Redev’s product capabilities and research integration.
NAAMII provided expert supervision and technical R&D support to enhance Transcad’s robotics and transportation technology. Over six months, we optimized algorithms for 3D reconstruction and visual SLAM, advancing autonomous navigation capabilities and system perception.
NAAMII co-developed geometric deep learning models to convert 2D and 2.5D data into 3D reconstructions. Our work directly improved ZEG.ai’s 3D rendering technology and laid the foundation for potential joint publications and commercial products.