Advancing embodied technologies that bridge foundational models and physical systems
Our Services
Upgrade your business with an AI strategy overhaul that evaluates your use of large language models, computer vision, and generative as well as physical AI.
We identify opportunities, streamline integration, and design a roadmap to maximise impact and scalability.
Bring ideas to life with rapid prototyping that spans both AI development and hardware design.
End-to-end support includes training networks, integrating sensors, and building working prototypes ready for real-world testing.
Access executive-level scientific leadership with CSO as a Service, providing strategic guidance on research direction, innovation pipelines, and AI adoption.
From shaping R&D roadmaps to overseeing technical teams, we help organisations accelerate progress without the overhead of a full-time executive.
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Consultant
Dr. Ignas Budvytis is a researcher and former academic specialising in computer vision, machine learning, and artificial intelligence. He is dedicated to developing advanced technologies that enhance how machines perceive and interpret the world.
Ignas holds a Bachelor's degree in Computer Science and a PhD in Computer Vision from the University of Cambridge. He recently served as an Assistant Professor of Computer Vision and Robotics in the Department of Engineering at the University of Cambridge.
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Consultant
Dr. Roberto Mecca is an applied mathematician and AI specialist with a PhD and more than ten years of experience across research and industry. His work has spanned leading institutions and companies in Europe, including the University of Cambridge, Toshiba Research, and the Austrian Institute of Technology. He focuses on computer vision, robotics, and deep learning, with a track record of delivering innovative solutions that bridge cutting-edge research and real-world applications.
Roberto’s expertise covers areas such as photometric stereo, deep learning–based perception, robotics, and generative AI, including image and 3D generation as well as multi-modal AI systems. Their work centers on designing bespoke computer vision solutions and helping organisations harness the power of large language models through fine-tuning and integration, with the goal of turning advanced research into impactful tools for business.
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Niluka Satharasinghe is a serial Founder CTO of three venture backed startups, alumni of Entrepreneur First (EF) and YCombinator (YC), with a background in Machine Learning and AI. He has over a decade worth of experience in the startup space engineering scaleable systems that serve user needs and is comfortable reasoning about the design and architecture of systems in a business context.
He holds a Bachelor's Degree in Computer Science and a Masters in Computer Science with a focus in Machine Learning from the University of Oxford.
Case studies
About
At the forefront of technological innovation, we combine world-class research expertise with practical execution.
We specialise in helping companies design, develop, and deploy AI solutions across areas such as computer vision, robotics, and large language models.
With a strong track record of delivering impactful results, we bridge the gap between cutting-edge research and industry implementation, ensuring our clients gain reliable, scalable, and competitive AI capabilities.
Contact Us
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