Integrity, transparency, risk intelligence.

1. Multi-Source Data Ingestion

We do not rely on a single database. We perform real-time cross-referencing of information from multiple official Polish government registries, including:

• KRS (National Court Register) — the foundation of identity verification for corporations.
• GUS / REGON (Statistics Poland) — verification of legal status and official business activities (PKD codes).
• Biała Lista (Tax Registry) — to ensure current VAT status and tax compliance.
• CRBR (Ultimate Beneficial Owners) — to identify real controllers behind corporate structures.

2. Financial Cross-Validation

We go beyond basic registration data. Our system autonomously retrieves and parses documents from the Financial Documents Repository (RDF / e-Sprawozdania). We don't just "show" documents; we normalize them, extracting:

• Revenue and profitability trends to assess financial health.
• BDO registration records to ensure environmental compliance.
• Auditor opinions to highlight potential red flags in financial reporting.

3. AI-Driven Anomaly Detection

Our proprietary analytical layer uses large language models to synthesize the collected data. We don't just output raw numbers; we analyze them for patterns that indicate risk, such as:

• Capital / Revenue mismatches — identifying potentially shell companies.
• Governance irregularities — detecting missing mandatory corporate resolutions or filing delays.
• Operational red flags — spotting incongruences between declared business activities and actual financial performance.

Important: the language model applies a methodology defined and maintained on our side — it does not invent assessment criteria and does not modify weights or thresholds. The catalogue of criteria, the domain weights and the classification thresholds are fixed, and the system has a fully deterministic fallback that produces a score without the model at all. Every finding names the source it came from.

4. The risk scale

The score is a risk scale, not a quality scale: 0 means no concerns, 100 means critical risk. A zero in the sanctions domain is the best possible outcome, not missing data.

Each of the five domains is scored separately from 0 to 100:

• Identification and registry status — KRS/CEIDG entry, VAT status, registered address.
• Ownership structure and UBO — transparency of the structure, beneficial owners, foreign links.
• Sanctions and warning lists — EU, OFAC, OpenSanctions, KNF public warnings, higher-risk jurisdictions.
• Financial profile — capital, filings, timeliness, anomalous ratios.
• Reputation and OSINT — press coverage, domain age, technical registries.

The overall score is a weighted average of the five. The sanctions domain carries the highest weight, followed by ownership structure and financial profile; reputation the lowest. Overriding rules apply: a confirmed sanctions hit always results in the highest risk level regardless of the other domains.

Classification bands:

| Range | Level | Meaning | |---|---|---| | 0–25 | LOW RISK | standard verification is sufficient | | 26–50 | MODERATE RISK | individual points to clarify | | 51–75 | HIGH RISK | enhanced due diligence advised | | 76–100 | CRITICAL RISK | engagement not advised |

Scoring is deterministic: the same inputs always produce the same result. The detailed methodology — the full catalogue of criteria with point values and weights — is a trade secret; we make it available for inspection on request as part of verification and audit processes.

Missing data is never read as absence of risk. Sources unavailable at the time of the check are named in the report together with a recommendation to verify them manually.

5. Transparency Statement

We operate under GPPL Sp. z o.o., ensuring that our data processing and analytics meet rigorous professional standards. Verifycator is an analytical decision-support tool. Our role is to provide the analytical lens that lets you see the reality behind a company profile.

Verifycator is an analytical tool for informational purposes. It does not constitute legal or financial advice. All data is retrieved from publicly available government registries. Users are responsible for verifying critical information before making binding legal decisions.