Two Worlds. One Risk Engine.

Satellite + ground + operational data fused into ranked decisions.

Protect Infrastructure & Supply Chains from Climate Risk.

We unify satellite data, IoT, and operations into a single risk engine to predict failures and secure supply lines.

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Renewal priorities · Vulnerability scores · Suitability comparisons · Inspection targeting

Predict Outages Secure Sourcing Audit Compliance

Our approach

Two Worlds. One Risk Intelligence.

From city grids to sourcing regions-one platform for climate-physical risk.

Satellite Imagery

→

IoT & Ground Truth

→

Internal Ops Data

→

Fusion Core

→

Renewal Priorities Sourcing Risk

Asset Condition Index

Retrofit Priority

Suitability Analysis

The challenge

Three gaps between risk signals and action.

Most teams can see risk, but still struggle to act early, prioritize clearly, and prove decisions.

Satellite Early Warning

01 - The Timing Gap

You see the risk today. Action happens too late.

Satellites detect stress on your assets weeks before anything breaks. But by the time your annual maintenance budget gets approved, the damage is already done. You end up paying for emergency repairs instead of planned maintenance.

UrbanSens gives you the evidence to unlock funding before the failure.

Early signal see stress before failures become emergency work

Climate Vulnerability Forecast

02 - The Blind Spot

Your data is from a world that no longer exists.

Critical capital allocation relies on historical performance benchmarks that no longer apply. Temperature patterns, rainfall, and extreme weather have already shifted. The locations and infrastructure you're investing in today may not survive the conditions of 2035.

UrbanSens shows you which assets and locations are drifting toward failure - before you invest.

Future drift track how risk shifts across assets, sites, and regions

Compliance & Evidence Trail

03 - The Evidence Gap

When the auditor asks 'why?', you can't answer.

Your satellite data lives in one system. Your sensor readings in another. Your maintenance logs in a third. When regulators ask why you made a decision - or why you didn't act on a warning - there's no connected trail to show them.

UrbanSens connects every data source into one auditable evidence chain.

One trail satellite, ground truth & operational data - one decision trail

Hover or tap a card to explore

01 / 03 Lead Time

Blind spot: Lead time Example output: Early warning

Signals Timeline

Lead time arrives before budgets do

Lead time +21 days

Weak signals precede field confirmations
Escalation happens after thresholds are crossed

What teams miss

Lead time Asset context Confidence

02 / 03 Suitability Analysis

Blind spot: suitability drift Example output: Scenario shift

Suitability Trend

Static maps, moving realities

Suitability -18% by 2035

Year-on-year drift often goes unmeasured
Scenario differences surface too late for change

What teams miss

Trend view Scenario comparison Site ranking

03 / 03 Evidence

Blind spot: evidence Example output: Audit trail

Evidence Graph

Decisions without defensible evidence

Traceability 3 sources → 1 trail

No shared provenance across sources
Decisions can’t be defended in audits or budgets

What teams miss

Provenance Traceability Decision trail

How it works

Inputs aligned before decisions are made.

Each layer is standardized, synchronized, and quality-scored inside the fusion engine.

DATA INPUTS

Satellite

Optical, SAR & thermal imagery

Ground Sensors

IoT & weather stations

Operations

SCADA, logs & assets

RISK ENGINE

DECISION OUTPUTS

Risk Score

Real-time alerts

Dashboard

Visual analytics

Audit Trail

Full traceability

Decision Outputs

Outputs delivered in enterprise format.

Shared delivery layer, plus specialized outputs for each track.

Risk Signals & Alerts

Confidence-weighted signals with thresholds aligned to your operations.

Dashboards & APIs

Operational views plus integration into GIS, SCADA, and analytics stacks.

Evidence & Audit Trail

Traceable outputs for planning, budgeting, and reporting reviews.

Utilities & Energy (Intra-urban)

Asset-Level Vulnerability

Heat, drought, flood, and subsidence proxies across critical buildings and networks.

Renewal & Inspection Prioritization

Target maintenance and retrofit budgets to the highest-risk segments.

Producers & Supply Chain

Suitability & Exposure (Over Time)

Track viability shifts across sites and sourcing regions.

Suitability Analysiss

Decision support for sourcing, site selection, and adaptation planning.

Trusted by forward-thinking teams

From asset registers to sourcing decisions.

Structured outputs for renewal planning, site selection, and climate adaptation, grounded in validated data.

Building-level intelligence

Every building profiled-age, height, materials, roof geometry, and energy class.

Energy demand & potential

Heat demand, insulation status, and PV potential derived from building geometry and orientation.

Renewal prioritization

Actionable recommendations for insulation, heating systems, and renewable integration.

Building Profile ID: #BLD-2026-1847

Last updated: 2h ago

Residential Multi-Family Musterstraße 42, 80331 München

EPC: D

PV Potential: High

Building Attributes

Construction Year 1967

Height 18.4 m

Floors 6

Roof Area 420 m²

Facade Material Concrete

Insulation Partial

Heat Demand 142 kWh/m²

PV Yield Est. 38 MWh/yr

Optimal roof orientation (SW)

Renewal Priority

Facade insulation recommended. Combined with rooftop PV, estimated 65% reduction in primary energy demand.

Move from reactive to planned.

See how evidence-ready risk intelligence fits into your planning and budgeting cycle.

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Protect Infrastructure & Supply Chains from Climate Risk.

Two Worlds. One Risk Intelligence.

Every pipe, building, and substation-mapped, scored, and connected.

Know where to source-today and under future climate.

Three gaps between risk signals and action.

You see the risk today. Action happens too late.

Your data is from a world that no longer exists.