Active optimisation. Measurable outcomes.

Neos uses live building data, live weather forecasts and live energy price data to autonomously optimise connected systems within agreed limits. It links recorded actions to measured outcomes, giving your team evidence for performance reporting.

Live operating data
Meters + BMS
Consumption and equipment status
Zone conditions
Temperature + RH
Sensor inputs across occupied zones
Heating requirement
Load + temperature
Demand sets the required output
Source efficiency
At this operating point
Required water temperature + load
Energy prices
Live market inputs
Inform the cost of delivered heat
Plant control
Output + setpoints
Modulation and cycling limits
Circuit control
Pump speed + valves
Match circulation to zone demand
Generation forecast
Expected PV output
Schedule demand around availability
Flexible demand
Heating + EV charging
Required heat + departure times
Stored heat
Temperature headroom
Within agreed comfort limits
Battery dispatch
Charge + power limits
Reserve capacity for site peaks
Control loopPredictive
Forecast inputs
Weather, demand and energy prices
Dispatch plan
Coordinate plant, loads and storage
Measured response
Update from actual conditions
Revised as conditions change
1/6

Read the operating conditions.

Combine live measurements with equipment status and operating requirements.

Keep scrolling

Control. Maintenance. Evidence.

Illustrative seven-day optimisation forecast for a Frankfurt office, shared with the Asset Manager page: daily energy cost in euros, carbon in kgCO2e, forecast reductions of €1,130 and 1,335 kgCO2e, and occupier comfort of 99 percent.
Illustrative Frankfurt office maintenance priorities, shared with Technical Partners: emerging pump condition, boiler cycling and sensor data-quality alerts with evidence and recommended investigation.
Illustrative 2025 emissions review, shared with Sustainability Leads: 1,665 optimising assets in a mixed German portfolio of 2,775 assets; reported emissions of 110.64 ktCO2e versus an adjusted baseline of 134.40 ktCO2e and an annual target of 115 ktCO2e.

Optimise as conditions change.

Neos autonomously coordinates connected systems around changing demand, energy prices and available capacity, helping you manage cost and carbon while maintaining comfort within agreed operating limits.

Catch performance issues earlier.

Smart alerts and predictive maintenance highlight abnormal operation and emerging problems, helping your teams prioritise investigation and intervention before issues worsen.

Track results. Support decisions.

Review measured performance against an agreed baseline and trace the operating actions behind it, giving your teams evidence for reporting, maintenance and investment decisions.

Illustrative interface views. Connected systems and reporting scope are agreed for each building.

Existing workflows

Bring Neos into the tools your teams already use.

Your team and partners can retrieve building data, operating findings and performance results through their own MCP-connected AI assistants, bringing Neos into technical investigations, programme reviews and reporting.

MCP connects your chosen AI assistant to Neos, so your teams can ask for the information they need within their existing workflows.

Discuss your workflow
Illustrative MCP connection: an existing Copilot assistant retrieves Neos portfolio data and performance findings.
Common questions

Can't find the right answer here? Visit our FAQ

Background

Still have a question?

Assess the opportunity in your buildings.