Case Studies
See how companies across industries use Beltic to automate trust decisions, reduce manual work, and move faster without increasing risk.
European Insurance Company
Automated financial document verification for commercial insurance underwriting—reducing manual review by 80%.
→FintechStablecoin Company
End-to-end business verification with registry data, UBO mapping, and sanctions screening—all in one flow.
→Global OnboardingGlobal User Verification
AI-native user verification across any country, any document format—with jurisdiction-specific compliance built in.
→LegalClaims Review Automation
Automated document intake and validation for legal claims—turning weeks of review into hours.
→Large European Insurance Company
Automated financial document verification for commercial insurance underwriting
Without Beltic
80% of document verification done manually. Only the questionnaire and document collection were automated. Underwriters spent hours opening, inspecting, and validating financial documents, checking for completeness, accounting standards, manipulation, and economic plausibility. Different analysts produced different outputs. High-risk cases got buried with routine ones.
With Beltic
Beltic automates the entire document verification pipeline: from intake to fraud detection to plausibility checks. Each case returns with clear pass/fail signals, flags, and explanations. Underwriters focus only on high-risk cases, with deterministic and standardized outputs across every analyst.
How it works
Automated document intake
Financial documents are ingested from any source—email, portal, API—and automatically routed into the verification pipeline.
Instant document validation
Each document is checked for completeness, format integrity, and basic quality—before any human touches it.
Structured financial extraction
Key financial data—revenue, assets, liabilities, ratios—is extracted and structured for downstream analysis.
Accounting standards verification
Documents are verified against relevant accounting standards (IFRS, GAAP, local) to ensure compliance and comparability.
Automated fraud detection
AI-powered checks identify signs of manipulation, inconsistency, or fabrication across all submitted documents.
Systematic plausibility checks
Financial figures are cross-referenced and validated for economic plausibility—flagging outliers and inconsistencies.
Actionable outputs
Each case returns a clear pass/fail signal with detailed flags, explanations, and confidence scores for underwriter review.
Stablecoin Company
End-to-end business verification for compliant stablecoin onboarding
The Challenge
Stablecoin companies face intense regulatory scrutiny. Every business customer needs verified ownership structures, beneficial owners identified, documents validated, and sanctions screening on all directors and UBOs. Doing this manually across multiple jurisdictions doesn't scale.
The Solution
Beltic provides a complete business verification flow: from registry data to UBO mapping to sanctions screening, all through a single integration. Clear risk recommendations based on configurable policies.
Verification flow
Business submits company name and jurisdiction
The onboarding flow starts with just a company name and jurisdiction—no manual data entry required.
Beltic pulls registry data
Official company registry data is retrieved automatically, including incorporation details, registered agents, and filing history.
Ownership structure mapped automatically
Complex ownership chains are traced through multiple layers to identify all ultimate beneficial owners (UBOs).
Document classification and validation
Submitted documents are classified by type and validated for authenticity, completeness, and consistency.
Sanctions and PEP screening
All directors, shareholders, and UBOs are screened against global sanctions lists, PEP databases, and adverse media.
Clear risks and recommendations
A comprehensive risk assessment is generated with clear recommendations based on configurable compliance policies.
Global User Verification
AI-native user verification across any country, any document format
The Challenge
Global companies need to verify users from anywhere, with documents in any language, any format, any quality. Traditional template-based systems break on unfamiliar documents. Manual review doesn't scale. Jurisdiction-specific compliance requirements add complexity.
The Solution
Beltic's AI-native extraction works without templates, understanding documents contextually. Combined with biometric verification, sanctions screening, and automatic jurisdiction-specific compliance, it handles global onboarding at scale.
Verification flow
User submits identity document
Users upload any government-issued ID—passport, national ID, driver’s license—in any language or format.
AI-native document extraction
Template-free AI extracts all relevant fields from the document, understanding context rather than relying on fixed layouts.
Biometric verification
Selfie-based liveness detection and face matching confirms the person matches the document.
Sanctions and watchlist screening
Extracted identity data is screened against global sanctions lists, PEP databases, and watchlists in real time.
Jurisdiction-specific compliance
Verification requirements are automatically adjusted based on the user’s jurisdiction and applicable regulations.
Verification decision
A clear accept/reject/review decision is returned with full audit trail and compliance documentation.
Claims Review Automation
Automated document intake and validation for legal claims processing
The Challenge
Legal claims involve mountains of documents: contracts, invoices, correspondence, evidence. Paralegals spend weeks reviewing, organizing, and validating documents. Missing or inconsistent documents delay cases. Manual review is expensive and error-prone.
The Solution
Beltic automates document intake, classification, and validation for legal claims. Documents are organized, key data extracted, inconsistencies flagged, and completeness verified, turning weeks of review into hours.
How it works
Automated document intake
Documents are ingested from any source—uploads, email, case management systems—and queued for processing.
Intelligent classification
Each document is automatically classified by type—contract, invoice, correspondence, evidence, exhibit—and tagged accordingly.
Key data extraction
Critical data points—dates, parties, amounts, terms, obligations—are extracted and structured for review.
Completeness verification
The document set is checked against required checklists to identify missing or incomplete submissions.
Inconsistency detection
Cross-document analysis flags contradictions, date mismatches, and other inconsistencies that require attention.
Review-ready output
Documents are organized, annotated, and presented in a structured format ready for paralegal and attorney review.
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