Frequently Asked Questions

We specialise in hazardous, specialist and difficult-to-recycle waste streams. This includes batteries (such as lead acid, lithium-ion and portable types), WEEE (electrical waste), IT assets, e-scooters, e-bikes, airbags, automotive components, fire extinguishers, catalytic converters, pyrotechnic waste, branded products, hazardous recalled components and other specialist materials.

huq combines multiple sources of real-world movement and behavioural intelligence to understand how people interact with locations over time. The platform processes anonymised and aggregated location signals to identify patterns in movement, activity, catchment behaviour, and area performance.

huq combines multiple sources of real-world movement and behavioural intelligence to understand how people interact with locations over time. The platform processes anonymised and aggregated location signals to identify patterns in movement, activity, catchment behaviour, and area performance.

huq combines multiple sources of real-world movement and behavioural intelligence to understand how people interact with locations over time. The platform processes anonymised and aggregated location signals to identify patterns in movement, activity, catchment behaviour, and area performance.

huq combines multiple sources of real-world movement and behavioural intelligence to understand how people interact with locations over time. The platform processes anonymised and aggregated location signals to identify patterns in movement, activity, catchment behaviour, and area performance.

huq combines multiple sources of real-world movement and behavioural intelligence to understand how people interact with locations over time. The platform processes anonymised and aggregated location signals to identify patterns in movement, activity, catchment behaviour, and area performance.

huq combines multiple sources of real-world movement and behavioural intelligence to understand how people interact with locations over time. The platform processes anonymised and aggregated location signals to identify patterns in movement, activity, catchment behaviour, and area performance.