Climate Analyses + Building Physics

If you are out of standard, we are with you!

The UrClimate Suite

Comprehensive SaaS products for climate risk assessment, from screening
to financial quantification.

Physical Risk Scoring

UrClimate Score

Location-level hazard scores and financial loss metrics (AAL, PML) for underwriting, portfolio screening and lending decisions, delivered by API or as GeoTIFF rasters.

Weather and Climate Risk for Energy Assets

UrClimate Tailor

Site-specific forecasts, live lightning tracking, workability analysis, seasonal outlooks and climate-risk financialisation for wind, solar and hydro plants, in one interface.

Physical Climate Risk for Banks

UrClimate Next

Measures physical climate risk across a bank's credit portfolio and translates it into auditable financial impact through PD, LGD and DSCR, with regulation-ready outputs.

Municipal Climate Platform

UrClimate Kent

GHG inventory, physical climate risks and finance readiness — the climate platform built for municipalities.

How it works

Scope

We define the problem and the right scale

We clarify the asset or portfolio objective, geographic scope, hazard set (e.g., heatwaves, storm/wind, flooding, wildfire), and performance criteria. At this stage, we determine which decision will be supported (design, investment, insurance, or operations) and define the appropriate spatial/temporal resolution and output format. Step label (desc.): Objective + scope

Step 1

Physics + Data

We build a multi-scale modelling framework

We combine climate and meteorological data with topography, land use, urban geometry, and project-specific site inputs. By selecting the appropriate physical approach (e.g., WRF, CFD, hydrologic–hydraulic modelling), we establish a consistent solution chain from macro to micro scales and apply quality control, calibration, and technical verification to ensure reliability. Step label (desc.): Model + validation

Step 2

Decision-ready

We translate results into decision outputs

We turn results into decision-ready deliverables: risk indicators, scenario comparisons, sensitivity/exposure insights, and improvement/adaptation options. Where required, we link these outputs to financial impact metrics and deliver them in the format best suited to the use case—report, map, interactive dashboard, or API. Step label (desc.): Report / API / Dashboard

Step 3

LinkedIn Highlights

Selected posts by Güven Fidan and Alkazar; follow both profiles for the full feed.

Güven FidanCEO, Alkazar

PostIn Turkish

A number that is not on the table does not shape the decision either.

A note from the closing panel of a sustainable finance and investment forum: until the present value of future climate damage is put in front of every decision, investment decisions remain incomplete.

AlkazarCompany page

Video

A factory lives for thirty years. The climate it was designed for does not.

A plant's fate is decided at the drawing board and in the choice of site, so how flood, drought, heat, storm and wildfire risk will evolve over its lifetime belongs in that decision.

Güven FidanCEO, Alkazar

NewsletterIn Turkish

What happened to the world this summer, and why does it affect everyone's pocket?

His Turkish-language newsletter looks at the present-day effects of climate change and our growing vulnerability in paying energy bills and accessing healthy food.

AlkazarCompany page

Video

On the hottest day of the year, the fate of a data centre is often decided on its roof.

When exhaust air finds its way back into the intakes, redundancy offers little protection. External CFD shows this failure mode at the design stage, long before construction.

Güven FidanCEO, Alkazar

VideoIn Turkish

Climate-driven risks need to be assessed separately for every asset type.

Global climate scenario data works for portfolio screening but cannot represent an individual site; calibrated site data is what reveals a facility's real financial exposure.

AlkazarCompany page

Document

Act of nature, or design? Every solar PV snow damage claim comes down to that question.

For claims teams: independent cause attribution, a foreseeability backtest and damage pattern analysis, with a stated level of confidence for every finding.

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