born in Africa

developed and made in the UK and USA

initially conceived and created several years ago as a life-system to survive (in relative comfort) during wildlife photography safaris in the remote wilderness of the Namibian desert

way back, our initial system was build for a better 'van-life'

operating remotely in an unforgiving environment with limited resources in a mostly ‘off-grid’ environment s demanding, calling for robust self-reliance and highly-optimized management and controlled use of all those limited resources
sophisticated engineering needed to overcome the limiting factors

space, weight and other constraints of ‘van-life’ demanded maximized use of local renewable energy, prioritized load management and integrate with other on-board systems, with data and controls available to users
more green powered van was better for the local environment and user

the environment in the van and for the wildlife improved, reducing disturbance and pollution from combustion engines in such a sensitive environment
evolving from 'life-systems' to 'systems for life' and better living

after off-grid success in the wilderness, it was clear our technology could serve a more ambitious mission and we got to work responding to the call for change and better local green energy built with the local user as the priority
generation 2 - advancing into live real-world installations

the cost of living crisis, growing energy demand and more electrification, Covid-19, increasing numbers of adverse weather made it clear there is demand for local energy systems which are reliable and less dependent on the grid
generation 3 - the current hardware based version of product available today

a step-change is sophistication built around with industry standard DIN rail modules, benefiting for several rounds of improvements designed to enhance robustness and installer and user experiences
cloud-based plug in AI capabilities

designed and built to support rapid deployment and integration with existing OEM end-user applications, so that smart predictive management can be made available across existing installed base and for new installations