Intelligence + technology
Products, platforms and technologies emerging from our research and field experience.
BEFORE THE DASHBOARD, THE SENSOR
Hardware layerEvidence has to be collected before it can be verified. We design, certify and deploy the sensors, meters and controllers that survive dust, voltage spikes and unreliable networks, and secure them, because every device connected to a network is also a new way in.
Device design
Hardware taken from concept to field-ready.
Advisory
IoT experts embedded in your build.
Certification
Compliant devices, locally and globally.
Deployment
Rollout, connectivity and lifecycle management.
Deployed inHealthcareUtilitiesSupply chainSmart citiesTelemetry
Read the field notes→LUMINARY
In developmentA multi-tenant platform for identifying athletes and following their development for years, not only at the moment they are spotted. Built around verified identities, recorded consent for minors, and one athlete record that survives every handover.
Problem: Talent in sports development programmes is found by whoever happened to be watching, and recorded in paper registers, spreadsheets and personal networks. The sighting is rarely verified, and the record of what happened to that athlete afterwards is lost between institutions.
Solution: A configurable, multi-tenant platform that takes an athlete from first sighting through verification and consent, into trials, training and measured development over time.
Talent identification depends on someone outside the institution being able to put a name forward, and on the institution being able to trust that name. Luminary separates those two concerns. Anyone can submit a sighting, but every submission carries a verified identity and, for a minor, a recorded consent chain. Sightings go to a review queue restricted to that sport, and the person who filed one gets a reply either way, including when the answer is not yet. The same athlete record then carries forward into onboarding, training and periodic physical and performance measurement, so progress is a trend line rather than a memory. Access is role-based throughout, and health and injury records are isolated from general athlete data and excluded from any export unless separately consented. New tenants are configuration, not a fork: a sports body gets its own branded instance on shared infrastructure.
What it covers
- Athlete registration with identity verification and recorded consent for minors
- Sport-restricted review queues for submitted sightings
- Feedback to the person who filed a sighting, whatever the outcome
- Multi-sport athlete profiles, capturable independently by more than one sport
- Long-term development tracking from trial through training and periodic measurement
- Role-based access for coaches, reviewers, managers, sport scientists, medical staff and administrators
- Health and injury records isolated from general athlete data and gated by separate consent
- Multi-tenant by configuration, each sports body on its own branded instance
- Sports intelligence
- Talent development
- Athlete welfare
- Multi-tenant platforms
AGRICULTURAL TRACEABILITY
Problem: No reliable way to trace which seed merchants are conforming to quality and certification standards before seeds reach the market.
Solution: A proposed traceability and inspection platform combining seed-lot tracking with AI-assisted pest risk analysis and farm inspection support.
Seed quality assurance depends on knowing where a seed lot came from, who sold it and whether it was inspected. Where that record lives on paper or in separate systems, conformity checks are slow and hard to audit. The platform is designed to give regulators, inspectors and seed merchants one shared, lot-level record, and to help inspection teams decide where to look first.
What it covers
- Lot-level seed tracking with QR-coded identifiers
- Role-based access for regulators, inspectors and merchants
- Mobile inspection workflow for field officers
- AI-assisted pest risk analysis to prioritise inspections
- Agriculture
- Seed systems
- Regulatory compliance
- Traceability
ECOLOGICAL RESTORATION
Under developmentProblem: Disconnected environmental data hindering large-scale, cross-border restorative interventions.
Solution: A comprehensive institutional platform mapping sensor networks and policy efforts across the region.
Restoring a lake or river basin means coordinating water-quality data, treatment interventions and policy across several institutions, often across borders. This work is designed to pair nature-based wastewater treatment with continuous water-quality monitoring, so that results from one intervention can be compared, verified and shared across the whole basin.
What it covers
- Nature-based wastewater treatment sites
- IoT water-quality sensors and telemetry
- Shared basin-level data platform
- Evidence to support policy and funding decisions
- Environment
- Water quality
- Climate adaptation
- Restoration
RIVER BASIN MONITORING
Problem: Manual river gauging leaves basin-scale water monitoring reliant on monthly site visits, too infrequent to predict floods, enforce water-use permits, or catch pollution events between readings.
Solution: A proposed basin-scale IoT sensor network with continuous telemetry and automated alerting for flood risk, compliance, and water-quality anomalies.
Basin authorities are responsible for flood management, water-use permits and pollution control, yet gauging is often manual and monthly, so readings arrive after the event. The proposed network would sample continuously and give basin managers one trusted source of station data, with an optional open-data view for researchers and downstream users.
What it covers
- Multi-parameter sensors for flow, level, turbidity, pH, dissolved oxygen, temperature and conductivity
- Solar-powered stations with cellular and LoRaWAN telemetry
- Cloud platform with automated data quality checks
- Threshold alerts for flood stage, permit compliance and water quality
- Water resources
- Hydrology
- IoT
- Flood and pollution early warning
SMART PORT OPERATIONS
Problem: Legacy, siloed systems leave port operators with no unified, real-time view of berth utilization, cargo handling, or asset status, making efficiency gains hard to plan or prove.
Solution: A proposed modular platform combining IoT sensors, computer vision and predictive analytics into a single operational picture, from berth allocation to cargo tracking to security.
Port operators run berths, cargo handling, security and fuel across separate legacy systems, so nobody sees the whole operation at once. The proposed platform would sit alongside existing systems rather than replace them, giving operators a single real-time picture of berth status, cargo flow and assets.
What it covers
- Berth utilization and vessel arrival tracking
- IoT sensors on cranes, vehicles and berth infrastructure
- Computer vision for cargo tallying and damage inspection
- Predictive analytics for turnaround time and berth allocation
- Fuel-leak detection and a digital asset registry
- Integration with existing terminal and ERP systems
- Ports and maritime
- Logistics
- Computer vision
- Predictive analytics
TRADE EFFLUENT MONITORING
Problem: Utilities that manage sewer networks have no real-time visibility into what industrial and commercial connections are actually discharging, leaving non-compliant or unlicensed discharge undetected until it damages treatment infrastructure or the environment.
Solution: A proposed continuous monitoring platform pairing sensor-based screening at effluent connections with lab-confirmed testing, tied to each facility’s discharge license for a defensible compliance record.
A sewer utility licenses industrial discharge but usually cannot see what any single connection is sending into the network between inspections. Continuous screening at connection points would flag likely breaches early, and laboratory testing would confirm them, giving both operator and regulator a record that stands up in enforcement or billing disputes.
What it covers
- Multi-parameter probes for pH, conductivity, temperature, turbidity, ORP and flow
- Tamper and flow-diversion detection
- Cellular and LoRaWAN telemetry to a cloud platform
- Readings tied to each facility’s discharge license record
- Threshold breaches trigger lab sampling for confirmation
- Wastewater
- Environmental compliance
- Utilities
- IoT monitoring