Capabilities

Intelligence Built Into Every Wall

KenHome integrates with your existing building infrastructure to deliver continuous AI-driven optimisation without costly hardware replacement.

Occupancy Analytics

Real-time and historical occupancy mapping across every floor, zone, desk, and room. Understand how your space is actually used — peak times, underutilised areas, flow patterns — and make data-driven decisions on space allocation, cleaning schedules, and facility investment. Works with cameras, sensors, access cards, or WiFi signals.

Energy Optimisation AI

Dynamic adjustment of lighting, heating, cooling, and power systems based on real-time occupancy and predicted demand — delivering 45% average energy savings.

Smart Access Management

AI-assisted access control with anomaly detection — flag unusual entry patterns, manage visitor flows, and generate access audit logs automatically.

Predictive Maintenance

Monitor equipment health signals across HVAC, elevators, and utilities. Get failure predictions days before breakdowns, reducing emergency callouts by 60%.

HVAC Automation

Zone-level climate control driven by occupancy, outdoor conditions, and thermal models — maintaining comfort while eliminating heating and cooling waste.

Visitor Analytics

Track visitor journey through your space, measure dwell times in key areas, and understand how guests interact with your environment to improve experience design.

How It Works

From Dumb Building to Smart Space

Three steps to a continuously self-optimising building.

1

Integrate Your Building Sensors

Connect via BACnet, KNX, Modbus, or REST. KenHome ingests data from existing BMS, HVAC controllers, access systems, cameras, and IP sensors — no rip-and-replace required.

2

KenHome Builds Your Space Model

AI constructs a live digital model of your building — occupancy patterns, energy flows, equipment states, and environmental conditions — creating a foundation for intelligent automation.

3

Automated Optimisations Applied Continuously

KenHome acts on its intelligence — adjusting systems, scheduling maintenance, generating reports, and surfacing insights to your facilities team through daily and weekly dashboards.

Use Cases

Where KenHome Transforms Spaces

Commercial Real Estate

Demonstrate energy performance to tenants, reduce service charge costs, and meet EPC and BREEAM requirements with automated reporting and AI-driven optimisation.

Hotels & Hospitality

Automate room climate based on occupancy, predict maintenance needs before guest-facing failures, and optimise back-of-house energy consumption shift by shift.

Smart Campuses

Manage energy, occupancy, and access across multiple buildings on a unified platform — optimising for both sustainability targets and student or staff experience.

Business Impact

Buildings That Pay for Themselves

KenHome customers see measurable savings on energy, maintenance, and operational overhead within weeks of deployment.

28%

Energy Savings

Average reduction in HVAC and lighting energy consumption

40%

Fewer Breakdowns

Reduction in emergency maintenance callouts through predictive scheduling

95%

Space Utilisation

Accuracy of occupancy data used to right-size space and lease decisions

8mo

Payback Period

Average time to full ROI through energy and maintenance savings

Common Questions

KenHome FAQ

What building systems does KenHome integrate with?

KenHome integrates natively with BACnet/IP and Modbus HVAC controllers, KNX and DALI lighting systems, Honeywell and Johnson Controls BMS platforms, and Siemens Desigo CC. For access control, it connects to Lenel, Genetec, and CCURE 9000. All integrations are read-write — KenHome not only reads current state but can push setpoint changes and schedules back to building systems based on AI-driven optimisation recommendations.

How does KenHome measure occupancy without cameras in every room?

KenHome uses a fusion approach: passive infrared (PIR) sensors, CO₂ concentrations, badge-access data, Wi-Fi/Bluetooth device counts, and (optionally) overhead depth cameras in common areas. The AI model fuses these signals to estimate occupancy at room and floor level with 93%+ accuracy without requiring cameras in every space. This approach respects privacy while delivering actionable headcount and utilisation data for energy and facilities management decisions.

Can KenHome help us meet BREEAM, LEED, or EPC requirements?

Yes. KenHome generates automated energy consumption reports aligned to ISO 50001 and GHG Protocol Scope 2 requirements. For BREEAM, the platform's metering, sub-metering, and benchmarking data satisfies Man 01–05 and Ene 01–06 credits. For LEED v4, KenHome supports EA Credit: Advanced Energy Metering and provide evidence for IEQ credits related to thermal comfort and occupant controls. Our sustainability reporting module exports audit-ready documentation directly.

How does predictive maintenance work in KenHome?

KenHome monitors equipment health through run-hour tracking, temperature trending, vibration signatures (where sensors are fitted), and power draw anomalies. When a deviation from baseline is detected — for example a chiller drawing 12% more power for the same load — the system raises a predictive maintenance alert and can automatically create a work order in your CMMS (ServiceMax, Maximo, Archibus). The result is planned maintenance rather than emergency callout, which typically costs 3–5× less per repair event.

Is KenHome suitable for a single building or a multi-site portfolio?

Both. KenHome scales from a single 10,000 sq ft office to a 200-building commercial real estate portfolio. The portfolio view provides a normalised benchmark (energy use intensity, EUI, per building) so you can rank performance, identify outliers, and prioritise retrofit or operational improvements across your entire estate from one dashboard. Permissions are fully role-based, so regional facility managers can see their buildings while portfolio leads see the full picture.

How long does a KenHome deployment take?

A typical single-building deployment with existing BMS access takes 2–3 weeks: one week for protocol integration and data mapping, one week for baseline calibration and anomaly model training, and a final week for dashboard configuration and team onboarding. Buildings without existing BMS infrastructure take 4–6 weeks to accommodate sensor installation. KenHome has been deployed in buildings ranging from 2,000 sq ft residential properties to 1.2 million sq ft commercial towers.