Our machine-learning and data-science specialists pull together the knowledge generated by the neuroscience and education teams to create a powerful algorithm that accurately measures attention.
The model quantifies and evaluates moment-to-moment fluctuations in attention, inferred from physiological signals — no wires, no labels, just observation.
A single, legible measure of human attention.
A productized layer built on top of Lifeverse's proprietary algorithm — so organizations can adopt attention intelligence without building it from scratch.
Real-time attention scoring from a simple RGB webcam — integrated fast, with clear documentation and drop-in SDKs.
A ready-to-use environment to monitor engagement, usage, and cost — with no custom development required.
Engagement score, attention drift, and cognitive-load trend — computed live.
Where attention settles over time, surfaced as heatmaps and time-series analytics.
Physiological signals that reveal fatigue, strain, and engagement.
Speech detection and acoustic mapping of the context around each moment of focus.
Validated for robust performance across demographics and environments.
Private, secure, accurate, and available — you stay in control of your data.
Go live on proven attention intelligence in weeks — not a multi-quarter build.
Cloud infrastructure that grows with usage, from first pilot to full production.
Access agents and automation that act on attention signals inside your workflows.
Drop insights into your product, your data ecosystem, and the tools you already run.
Performance, reliability, and governance suited to demanding, regulated environments.
Put AI capability to work without commissioning full bespoke development.
Unlike traditional gaze-tracking tools, our AI interprets physiological signals to give you more accurate insight into human attention and engagement — with no specialised hardware.