The Infrastructure Layer

Evidence-Led Thermal Performance Assurance Infrastructure.

A deterministic, edge-autonomous layer that continuously measures thermal behaviour, verifies performance, supports correction, and generates structured audit-ready evidence — without IT integration, user input, or cloud dependency.

No IT Integration Required
No User Input Required
No Personal or Organisational Data Captured
No Continuous Cloud Dependency
Edge-Autonomous Operation

System Architecture

Four Integrated Components. One Coherent Assurance Infrastructure.

Hardware Layer 01
TiPad Edge Controller
Edge computing · Deterministic logic · Data structuring · Autonomous operation
EDGE AUTONOMOUS
Core Controller
TiPad Edge Controller

The TiPad is FutureTherma's central edge computing and orchestration layer. Installed at building or zone level, it receives, structures, and analyses thermal data from the sensing layer — applying deterministic logic to identify performance patterns, inefficiencies, and drift.

Operating autonomously at the edge, the TiPad does not require continuous cloud connectivity. Assurance logic runs locally, ensuring continuous operation regardless of network availability or IT infrastructure constraints.

Edge-autonomous — no continuous cloud dependency
Deterministic logic for reliable, repeatable performance analysis
No IT integration or network reconfiguration required
Structures data for 5C framework evidence output
Hardware Layer 02
Zonal Thermal Correctors
Room-level · Thermal correction · Responsive · Non-disruptive
ROOM LEVEL
Correction Layer
Zonal Thermal Correctors

Deployed at room or zone level, Zonal Thermal Correctors support targeted thermal response where the TiPad identifies inefficiency, imbalance, or drift. Rather than managing heating at system level alone, FutureTherma intervenes where performance gaps actually occur — in the room.

This zonal approach enables precise correction without disrupting whole-system operation, reducing overcompensation, energy waste, and comfort inconsistency across the building.

Room and zone-level thermal correction capability
Responds to TiPad-identified inefficiency signals
Non-disruptive deployment — no major installation works
Supports portfolio-scale deployment
Sensing Layer
Sensor Intelligence
Air temperature · Mean Radiant Temperature (MRT) · System-state sensing
MULTI-PARAMETER
Data Acquisition
Multi-Parameter Sensing Layer

FutureTherma's sensing layer goes beyond standard air temperature measurement. By combining air temperature with Mean Radiant Temperature (MRT) sensing and system-state monitoring, the platform captures a more complete picture of real thermal comfort conditions.

MRT — the temperature felt from surrounding surfaces — is a critical determinant of occupant thermal comfort that air temperature alone does not capture.

Air temperature sensing — continuous, room-level
Mean Radiant Temperature (MRT) — surface thermal environment
System-state monitoring — operational performance signals
No personal or occupant data captured
Analytics Layer
Evidence & Reporting
Structured dashboards · Time-series data · 5C outcome evidence · Audit-ready outputs
AUDIT READY
Evidence Output
Analytics and Evidence Layer

The analytics layer transforms structured thermal data into decision-grade evidence across the 5C framework — Comfort, Consumption, Cost, Carbon, and Compliance. Dashboards provide operational visibility at building and portfolio level, while time-series data supports trend analysis and audit reporting.

Evidence outputs are structured for direct use in compliance reporting, board-level assurance, funder reporting, and regulatory audit — reducing the manual effort typically required to compile operational Net Zero evidence.

Structured 5C framework dashboards
Time-series visibility for trend and drift analysis
Audit-ready outputs for regulatory and funder reporting
Portfolio-level aggregation

The Assurance Chain

Five Stages. One Continuous Evidence Loop.

01
Stage One
Sense
The sensing layer continuously captures air temperature, Mean Radiant Temperature, and system-state data at room and zone level. Multi-parameter sensing provides a richer, more accurate thermal picture than standard temperature monitoring alone.
02
Stage Two
Interpret
The TiPad Edge Controller receives, structures, and analyses incoming thermal data. Deterministic logic interprets performance patterns, comparing observed behaviour against expected operational parameters and identifying deviations in real time.
03
Stage Three
Detect
Inefficiencies, thermal imbalance, and performance drift are identified and flagged. Early detection — before drift becomes a complaint, a cost spike, or a compliance issue — is a core operational value of the FutureTherma infrastructure layer.
04
Stage Four
Correct
Where intervention is required, Zonal Thermal Correctors support targeted thermal response at room level. Correction is precise and proportionate — addressing the specific zone of underperformance without disrupting wider system operation.
05
Stage Five
Evidence
Structured 5C outcome reporting is generated continuously — Comfort, Consumption, Cost, Carbon, Compliance. Evidence is audit-ready, time-stamped, and structured for direct use in compliance reporting, board assurance, and funder evidence requirements.

What Makes It Different

Not Monitoring. Not Management. Performance Assurance.

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Not Passive Monitoring
Monitoring tools provide visibility. FutureTherma provides interpretation, detection, correction support, and structured evidence — a complete assurance infrastructure, not a data feed.
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Not Cloud-Dependent Control
Edge-autonomous operation means the assurance logic continues running regardless of network availability. No performance gap during connectivity disruption.
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Not Tenant-Behaviour Dependent
FutureTherma does not require tenant input, tenant behaviour change, or occupant engagement to function. Performance assurance operates independently of how occupants use the building.
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Not Disruptive to Deploy
No IT infrastructure changes, no network reconfiguration, no organisational data processing. Designed for rapid, low-disruption deployment across existing housing and estate environments.
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Deterministic and Reliable
Logic is deterministic — producing consistent, repeatable, auditable outputs. Not probabilistic or AI-dependent, ensuring reliable evidence that withstands regulatory and audit scrutiny.
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Audit-Ready by Design
Evidence outputs are structured from the ground up for compliance use — SHNZS, PAS 2035, SHDF, and Awaab's Law reporting requirements embedded into the 5C evidence framework.

The Next Step

See FutureTherma Working in a Real Building.

Our structured demonstrator pathway validates thermal performance assurance outcomes in real residential and commercial environments across 8–12 weeks.

Explore the Demonstrator Start a Conversation