Property data you can act on: what it's worth, how it sells, how it performs.

Lenders revaluing collateral, insurers checking sums insured and investors screening deals all need values for many properties, quickly and consistently. An automated valuation model (AVM) built on actual notarised sales gives a value, a confidence range and the comparables behind it in seconds.

For individual mortgages a certified EVS 875 valuation is still required. The AVM handles everything around it: pre-screening, portfolio monitoring and spotting properties that need a human valuer.

What we do

• Connect your systems to the Estiq valuation engine by API
• Run portfolio revaluations and loan-to-value reports
• Build custom models for property types or regions you need

Buyers judge a property by the first photos. Empty rooms look small and cluttered or dated ones hide the potential, but physical staging costs hundreds or thousands of euros per property and takes days to arrange.

AI virtual staging furnishes, clears or restyles each photo in seconds, at a small fraction of that cost. Staged images should always be clearly labelled as virtually staged in the listing.

What we do

• Give agents direct access through Estiq.eu
• Integrate staging into portals and CRMs by API
• Set up bulk processing and brand-specific styles

Water escape is one of the most frequent causes of property damage and insurance claims. The cost is driven by how long water runs before anyone notices, which in an empty flat or a ceiling void can be days.

Leak sensors placed at known failure points (under sinks, behind washing machines, at water heaters and risers), combined with automatic shut-off valves on the supply, reduce most incidents to a wet floor. The design work is choosing where to install first, who receives the alert out of hours, and whether your insurer will share the cost.

What we do

• Rank buildings and units by leak risk using claims and maintenance history
• Specify sensors, valves and alert routing
• Prepare the case for premium or deductible changes with your insurer

Building systems speak different protocols (BACnet and Modbus in plant rooms, M-Bus and wireless M-Bus in meters, LoRaWAN for battery sensors) and each vendor's portal shows only its own data. The answer is usually a thin, vendor-neutral data layer that collects from all of them, rather than replacing everything with one supplier's stack.

What we do

• Inventory existing systems, protocols and data access rights
• Design a common data model for buildings, spaces, meters and assets
• Specify the integration layer and the dashboards each team needs

Lenders, investors and tenants increasingly expect energy, carbon and water data that can be audited. Manual readings and annual utility bills leave gaps and cannot show where energy is wasted.

Automatic metering, with sub-meters where tenants or major plant need separating, gives monthly or hourly data for reporting and for finding savings. The recast EU Energy Performance of Buildings Directive also extends requirements for building automation and control systems in larger non-residential buildings.

What we do

• Define a metering strategy that matches your reporting obligations
• Close data gaps between landlord and tenant consumption
• Set up data quality checks so figures hold up to audit

Booking systems show intentions, not use. Occupancy sensing (people counters at entrances, presence sensors on desks and meeting rooms, or aggregated Wi-Fi data) shows real patterns by floor, day and hour. That supports decisions on consolidating floors, renegotiating leases and adjusting cleaning and HVAC schedules.

What we do

• Choose sensing methods that answer the business question with the least intrusion
• Prepare the privacy assessment and staff communication
• Turn the data into a space plan and an HVAC schedule

Start from the decisions you need to make, not the feature lists. A short written requirement, a scored tender and a paid pilot in one or two buildings will separate products that work from those that only demo well.

Contract terms matter as much as features: data ownership, export formats, API access and what happens to your data if you leave.

What we do

• Write requirements and scoring criteria
• Run the tender and pilot evaluation
• Review data and exit clauses before you sign