London, England
Synthetic Image
Clinical Image
It's simple. We sell data. Clean. Rare. Quiet. Annotated. Validated. Curated. And we sell lots of it. For a fraction of the price.
Build a Data PartnershipWhat we do
We generate and curate synthetic and mechanistic data to train Frontier AI. We form exclusive data partnerships with our customers in ML to meet their extensive data needs at a fraction of the regular cost.
Scientists, experts, experimentalists. These are the people we work with to scour the edge of what is known.
01
Hand-verified, domain-specific datasets built to your exact specification. Covering scientific, industrial, linguistic, and multimodal data at scale.
02
Expert-led annotation pipelines using domain specialists — not crowdsourced. Every label traceable, auditable, and validated to your quality bar.
03
Access to low-resource, hard-to-acquire datasets. We specialise in edge cases, underrepresented domains, and data types the major providers don't carry.
04
Physics-grounded and model-generated synthetic data paired with real-world validation sets. Expands your training distribution without compromising ground truth.
05
Independent validation of your existing training data. We surface bias, coverage gaps, and label noise before they compound in your model.
06
Exclusive, long-term data supply agreements for ML companies and research labs. Custom collection pipelines designed around your roadmap, not ours.
Our DaaS Platforms
Through our Synstro technology, we export a range of synthetic stroke data tailored to meet your training requirements.
Meet The team
We are a small UK-based team of experts that bring together a suite of knowledge and training to deliver something truly unique. Together we are playing our part in advancing the Frontier of AI.
Tamás Józsa
Co-Founder & Lead Engineer
Dr Tamás Józsa is a respected Lecturer at Cranfield University. Prior he was educated at the University of Edinburgh, before completing his postdocorate at the University of Oxford. He is one of the foremost researchers in stroke modelling and has published for the Royal Society. He also pioneered a flagship €10M Horizon Europe GEMINI programme to forward the development of a full virtual physiological human.
Muhammad Gillani
Co-Founder & Data Engineer
Muhammad Gillani attended Swansea University and later Cranfield University, specialising in ML for stroke imaging. He completed an award-winning thesis in ML for medical imaging.
Tianyu Ma
Co-Founder & Simulation Engineer
Tianyu (Derrick) Ma completed his degree in Mathematics at Imperial College London, before studying Computational Fluid Dynamics at Cranfield University. He is now completing a PhD in digital healthcare under the supervision of Dr Józsa. He brings a breadth of talent and mathematical knowledge to the team.
Adam Brierley
Co-Founder & Software Engineer
Adam Brierley has a background in experimental aerospace research. At Cranfield University, he switched his focus to computational approaches after learning the challenges of experimentation. His Master’s thesis at Cranfield University was under the supervision of Dr László Könözsy, and titled ‘Vorticity Formulations for the Flow of Incompressible Fluid’. He left Cranfield with a Distinction.
Kilyan Ocampo
CEO of Monolith Performance & Product Engineer
Kilyan Ocampo is Co-Founder and CEO of Monolith Performance and a mechanical engineer and CFD specialist. He has previously grown his expertise at Ford Motor Company and TM Racing. His experience running his company Monolith Performance brings business knowledge and commercial awareness to the team.
Paulina Agraz
Project Manager
Paulina Agraz brings her unique expertise to the enterprise helping us market and develop the product as we expand. She plays a crucial role in strategic communications, digital growth, high-impact email marketing, and developing our brand to make a commercially-viable product.
Contact
Location
167-169 Great Portland Street, London
W1W 5PF
Response time
We respond to all enquiries within one business day.