Foundations and Collaborations

A deepening collaboration with NVIDIA

TimeTrace Labs and NVIDIA have established a long-term research collaboration around AI for systems that change through time.

The collaboration forms part of a broader technical programme exploring how the structure already present in changing systems — their geometry, dynamics and relationships across time — can be used to learn more from limited observations. The aim is to make precise answers possible earlier, before conventional scale is available, then benefit from that scale as it arrives.

Sonata, a world model of human motion co-developed with NVIDIA researchers, is the first public output of the programme. It is one part of a wider body of work spanning temporal world models, structured representations and new approaches to learning from real-world data.

UK Government support

TimeTrace has been awarded two forms of non-dilutive UK Government support for this work: an Innovate UK Frontier AI grant, and an AIRR allocation providing compute on Isambard AI, the UK's national AI supercomputing infrastructure. Together they give us the funding and the compute headroom to push our world model work, and the TimeTrace platform, further and faster.

Academic and data partnerships

Talent

We run a structured internship programme with the University of Cambridge's Centre for Doctoral Training in Data Intensive Science, bringing mathematicians, physicists and machine learning engineers onto the measurement platform.

A separate pipeline runs into the University of Oxford, where the company began and where our decade of proprietary longitudinal data originates.

ETH Zurich

We are collaborating with ETH on efficient world models for complex physiological and multimodal time-series data, through co-funded postgraduate projects beginning in September 2026. The work targets low parameter footprint and edge-compliant deployment, so that models trained at national scale can run on the device holding the data.

Fondation FondaMental

FondaMental is a French scientific foundation created at the initiative of the Ministry of Higher Education and Research. It curates longitudinal mental health cohort data gathered across France at exceptional scale and duration.

We are applying the platform directly to that dataset, validating it against real clinical trajectories at national scale.