For partners and funders

Prototypes & R&D

Working prototypes, field trials and joint research, ready for the next stage of development.

Co-develop, fund or license a prototype, or partner with us on research.

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SciFlair meter reader unit open, showing the sensor node board and battery pack Retrofit, no meter swap
Energy & Water

Smart Water Metering and Control

Battery-powered retrofit reader that turns existing water meters into smart meters, developed for a city-wide meter reading tender

2017–2018

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Street-light feeder cabinet beside the lights it controls 2,000 cabinets scoped
Smart City

Street-Light Feeder Management

GSM controller for remote monitoring and control of street-light feeder cabinets: it reports faults to the exact feeder and switches lights with sunrise and sunset, proven on site for a planned 2,000-cabinet rollout

2017

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SciFlair air-quality monitor in a sealed grey enclosure with a vented sensor head NOx, O3 and PM0.5–PM10
Smart City

Air-Quality Monitoring

Air-quality monitor measuring nitrogen oxides, ozone, five sizes of particulate matter, temperature and humidity, powered by mains, solar or vehicle battery and connected through Axino

2020

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Parking sensor opened, showing the Axino LoRa module and batteries 5+ year battery
Smart City

Parking Occupancy Sensor

Rapid prototyping of a battery-powered bay sensor with dual-sensor detection, co-developed with a university for a planned 1,000-bay campus rollout

2019–2020

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Insect habitat seen from above with each insect detected and boxed by the machine-vision model F1 0.98 beetle detection
AgriTech AI

Insecto: Edge AI and Computer Vision for Insect Farming

Insecto computer-vision and sensor units for insect farms in the UK and Africa, and the joint PhD whose edge AI detects, segments and health-checks mealworm beetles on a Raspberry Pi 5

UK and Africa · 2021–2026

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Inside the aquaponics research greenhouse, with vertical towers, grow beds and plants 12 months on a commercial farm
AgriTech AI

IoT and AI Control of Aquaponic Farms

Joint PhD with UWE: an IoT sensing platform ran for 12 months on a commercial aquaponics farm, and AI models used its data to detect anomalies and cut grid heating energy by up to 27%

UK · 2022–2025

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