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Geospatial data science
Spatial analysis, data modelling, and machine learning turn fragmented information into a legible picture of place.
GISMachine learningData analysis
52.2297° N · 21.0122° E
From spatial data to informed decisions.
BERI combines geospatial data science, decision-support systems for the industrial real estate market, and experience in industrial architectural design.
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01 — Foundation
Three perspectives. One decision process.
Each pillar is a distinct area of expertise. Together, they form a framework for assessing location, risk, and investment potential.
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Decision-support systems for industrial real estate
Multi-criteria site assessment, stakeholder analysis, and permitting-risk studies support defensible investment decisions.
Location intelligenceRiskDue diligence
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Industrial architecture
Design experience makes it possible to interpret data and constraints through the realities of an investment process.
Capacity studiesPlanningDesign
02 — Knowledge
Research and articles
Instead of a portfolio, BERI publishes substantive studies explaining the methods, questions, and findings behind each pillar.
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From Business Need to an Operational Facility: The Extended Role of the Architect in Industrial Investment
From a business need to an operating plant: the architect as the investor's adviser across the whole industrial investment.
Read
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Poland Has the Data. Now We Need to Make It Intelligent
Using existing data resources for industrial location analysis
Read
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Spatial Decision Support Systems for Industrial Business
From data and criteria to a location recommendation: how a spatial decision support system for industry is built.
Read
03 — About BERI
Design experience meets data science.
A decade of experience in preparing and designing industrial investments is now extended through geospatial data science and machine learning. BERI was established to help investors, designers, and professionals make better-documented decisions.
04 — Contact