Improve energy flexibility outcomes with human-response intelligence

Technical optimisation can identify valuable flexibility actions, but realised value also depends on how people respond.

EluxEvo is a UK deep-tech SME developing Human Acceptance Intelligence (HAI). Our AI/ML approach combines connected-device and environmental data with human interaction and behavioural signals, learning patterns of comfort, participation and response. HAI is being developed to make these human factors measurable alongside conventional technical and energy data.

We are interested in collaborating with energy suppliers, aggregators, flexibility providers, VPP and optimisation platforms, and other organisations deploying AI-enabled flexibility where uncertainty about human response affects the confidence with which interventions can be designed, optimised or relied upon.

A potential collaboration could explore whether adding human-response intelligence to existing technical optimisation helps organisations better understand the relationship between an intended flexibility intervention and outcomes such as participation, comfort, response and persistence over time.

What EluxEvo brings

EluxEvo has secured and led Innovate UK grant-funded R&D and participates in Digital Catapult’s Applied AI Growth Programme. Our HAI capability is at TRL 5, progressing towards TRL 6, with development and testing through smart-home environments and pilots.

We bring:

• AI/ML combining connected-device, environmental and human-response data.

• A developing human-response intelligence layer intended to complement rather than replace existing forecasting, asset and flexibility optimisation.

• Experience developing and testing through smart-home environments and pilots.

• Experience of collaborative, grant-funded innovation.

What we are looking for

We are particularly interested in energy suppliers, aggregators, flexibility providers, VPP and optimisation platforms with an existing capability and a defined real-world challenge where uncertainty about human response affects participation, persistence or confidence in realised flexibility outcomes.

Complementary consortium expertise

We also welcome conversations with specialist technology and research partners where complementary AI/ML, probabilistic modelling, optimisation, human-AI interaction or validation expertise can materially strengthen the deployment and evidence pathway. We are also open to partners able to provide relevant real-world validation environments, where these strengthen the end-to-end deployment proposition.

Potential BridgeAI pathway

We are seeking partners for the current BridgeAI Deployment Catalyst opportunity. We expect the most appropriate strand to follow the deployer's challenge and the role HAI plays within the proposed system:

• AI for Operational Systems: where human-response intelligence could inform or enhance an AI-enabled flexibility intervention or operational optimisation.

• AI for Decision Critical Systems: where human-response intelligence could provide additional evidence for consequential decisions about whether, when or how interventions are deployed.

• AI for Assurance and Compliance: potentially relevant where a deployer has a defined requirement against which intervention or human-response outcomes need to be monitored, validated or evidenced.

The project is at design stage:

We have defined the HAI capability and deployment hypothesis and are seeking partners to co-design the specific use case, integration and validation approach around a genuine operational challenge. The resulting challenge would determine the most appropriate BridgeAI Deployment Catalyst strand.