Put the project update in context.
Bring authorised project records together with dated observations of the site.
Deep-tech fintech for banks.
Construction finance · Real-estate collateral · Infrastructure
3BrainAI’s Construction Risk Intelligence brings dated satellite observations and project context into traceable evidence for construction finance and collateral review. Specialist analysis and AI are central to our technical approach.
Before the next drawdown, make clear what the evidence supports – and what still needs checking.
How Construction Risk Intelligence works
Bring authorised project records together with dated observations of the site.
Examine each source, its date and its relevance to the review question.
Record the findings, their supporting sources and the next review step in an Evidence Pack.
The responsible reviewer examines the evidence and records the next action under the institution’s own rules.
Case study · Real historical Copernicus data
See how this public example separates a visible change from the evidence still needed for a construction drawdown review.


Vienna Airport logistics park observation area · Human review required
Did large roofed structures become visible within the observation area between the two dated public optical scenes?
The full pack retains the dated sources, observation limits and next review question.
Which structures and project phase should the reviewer relate to these observations? Confirm the relevant asset boundary, milestone definition and dated technical records before assessing progress against a project plan.
The relevant project records must define the asset boundary and milestone before an institution-specific assessment.
20 Aug 2023 → 19 Aug 2025
Two large rectangular roofed structures became visible within the selected observation area, replacing predominantly bare or construction-affected surface.
The imagery shows surface-visible change. It does not establish building completion, quality, fit-out, occupancy, environmental compliance, contractual acceptance or payment eligibility. Documentary and engineering evidence remain necessary before any institution-specific conclusion.
Exact project boundary, engineering completion and payment eligibility remain unverified. WATCH refers to evidence sufficiency and the need for documentary review; it is not a negative project rating and does not indicate delay, breach or default.
Modified Copernicus Sentinel data 2023 and 2025 · same working retrieval envelope · public source review v0.3.
Independent case study based on public project information and dated Copernicus observations. No affiliation with or mandate from the owner, operator, tenants or financing institutions is implied.
No actual project drawdown request, lender decision, contractual milestone, delay, breach, environmental assessment or project-performance assessment is represented.
Full source identifiers, hashes, retrieval envelope and reason codes remain in the two-page Evidence Pack.
Dated optical observations provide surface-visible context. Engineering completion, water quality and geotechnical condition cannot be determined from imagery.


Repeat-pass SAR provides dated surface-visible context. Bright radar targets do not by themselves confirm individual asset identity, installation or condition.


SATELLITE ANALYSIS
Repeated satellite measurements, geodata and analytical methods put a location into context.
Time. Coverage. Complementary signals.
Why satellite data mattersOptical observations
ANOTHER PERSPECTIVE
A new district takes shape. Connect dated observations to a published milestone and the next review question.
Munich–Neufreimann
Governed boundary
Data needs analysis and review before it can support a conclusion.
Target design: institutional roles, evidence and review actions remain separate. Operational deployment is subject to institution-specific validation.
Historical programme
Completed by 3BrainAI Solutions company history
Founder contextDusan Prikryl
Dusan Prikryl founded 3BrainAI after working on both the physical and digital sides of accountability.
His experience spans owner-side responsibility for complex physical assets and later digital products, data operations, analytics and AI.
Historical experience context, not CRI deployments or product outputs.
Read the founder and company contextMeasurement before promises
In an agreed pilot, we will examine how CRI supports bank reviewers: preparing evidence, identifying the next action and explaining how a conclusion was reached.
No result is asserted here.Compare the time needed to assemble and review the relevant evidence.
Assess whether the record helps reviewers identify a clear, appropriate next action.
Check how easily another reviewer can follow a finding back to its sources.