Real Estate · Capital · IntelligenceTrust Centre
Market intelligence is only useful when you can see where it came from.
Every material claim within Viacap is intended to be supported by identifiable evidence. Where the platform records a transaction, participant or relationship, you should be able to review the source it was drawn from. That allows intelligence to be assessed, rather than simply accepted.
Viacap does not seek to replace original reporting, company disclosures or regulatory information. It structures and connects those sources so their significance within the wider market becomes clear.
Viacap collects information from sources that lawfully describe activity across European real estate — company publications, regulatory materials, transaction announcements, industry reporting and software products among them.
That information is processed into structured factual records. Entities are resolved, participant roles are classified, and relationships are connected across transactions and sources. Where several sources describe the same event, they may be combined into a more complete record. Where evidence is incomplete or uncertain, the platform is designed to reflect that limitation rather than present an unsupported conclusion as fact.
The methodology rests on four principles.
Traceability. Material information should remain connected to its underlying source.
Consistency. Similar transactions and participants should be classified within the same structured framework.
Context. Individual records should be understood alongside the related transactions, organisations and relationships around them.
Correction. Records should be capable of review and amendment when better information becomes available.
Machine learning and artificial intelligence help Viacap process information at scale. They assist in identifying transactions, extracting facts, resolving entities, classifying participant roles and suggesting relationships between records.
These systems accelerate the organisation of information. They do not remove the need for methodology, evidence or judgement. Automated outputs can be incomplete or wrong — particularly where sources are ambiguous, names are similar, or transaction structures are complex. For that reason, AI-generated outputs remain connected to their source material and subject to validation appropriate to their significance.
AI supports the process. It is not itself the evidence.
No market intelligence platform is complete.
Public information may be delayed, inconsistent or unavailable. Transaction values may not be disclosed. Participant roles may be described differently across sources, and some relationships remain private.
Viacap is therefore designed to distinguish between verified facts, structured interpretations and inferred relationships. Where the available evidence does not support a definitive conclusion, the platform should not imply otherwise.
Trust is not created by claiming perfect coverage or absolute accuracy. It is created by showing the evidence, explaining the method, and being clear about the limits of what is known.
Viacap should become more accurate as the market evolves.
Where a user, participant or source identifies information that may be incomplete or incorrect, the relevant record should be reviewed against the available evidence and corrected where appropriate. Material amendments should preserve a clear connection to the sources supporting the updated record.
A credible intelligence platform should not treat corrections as a weakness. They are part of maintaining a reliable, continually improving evidence base.