Trade Rented Inference
for an Owned Token Factory

GDPR, DORA, and internal data governance policies prohibit KYC documents, credit files, and trading agreements from leaving your perimeter. The “Sovereignty Fracture” — the gap between what AI could do and what your compliance framework permits — leaves high-value workflows manually intensive.

Financial spreading — extracting key metrics from a corporate borrower’s financial statements and mapping them to your credit model — is performed manually by your most expensive analysts. Each commercial loan requires 4+ hours of work that is entirely automatable with the right document intelligence.

Global KYC onboarding requires verifying documents across 50+ jurisdictions, running PEP and sanctions checks, and maintaining an immutable audit trail. The manual process is slow, inconsistent, and expensive — and it’s the first experience your new client has with your institution.

Per-page SaaS AI processing fees appear as operating expenses that scale with your transaction volumes. Building a captive AI infrastructure converts this recurring cost into a depreciating asset — a structural improvement to your cost base that compounds as your document volumes grow.

KYC packets, bank statements, loan files, ISDA agreements, trade finance docs — any format from any jurisdiction.

Radon and Krypton models identify financial table structures, extract key metrics, and understand document relationships.

Agents cross-reference extracted data against regulatory databases, sanctions lists, and internal credit models.

Validated data feeds into your core banking, CRM, or risk platform via API or structured file exports.

Full chain-of-thought logging for every agentic decision. DORA-compliant audit evidence available on demand.

Verifies identity document authenticity across 190+ countries. Handles skewed mobile uploads from retail banking onboarding — the real-world quality of KYC documents your compliance team actually receives.

Identifies the spatial relationships in financial ledgers, balance sheets, and P&L statements. Maps extracted line items to your internal credit model automatically — reducing a 4-hour financial spread to 5 minutes.

Extracts obligations, covenants, termination events, and governing law clauses from ISDA agreements, loan contracts, and trade finance documents. Builds searchable structured databases from your contract archive.

Agentic loops verify document authenticity across 50+ languages, run instant PEP/sanction lookups, and produce an immutable audit trail — all within your perimeter. DORA and GDPR-compliant by architecture.

Krypton identifies table structures and financial line items from borrower statements, mapping them to your internal credit model. A 4-hour manual process reduced to 5 minutes with full analyst review capability.

Triple-match between Letter of Credit, Invoice, and Shipping documents in real time — validated against UCP 600 rules. Flags discrepancies before settlement and mitigates trade-based money laundering risk.

Agents classify and index entire loan files, verifying the presence of every required signature and disclosure. Zero-defect files for secondary market sale — eliminating the manual stacking and review process.

Vision-first models categorise damage and extract key data points — VIN, driver information, incident details — from FIRs, repair estimates, and surveyor reports to initiate claims automatically.

Extract margin call triggers, termination events, and governing law clauses from ISDA agreements into a structured, searchable database. Covenant monitoring alerts before breach — not after.

Extract line items, tax details, and payment terms from invoices. Three-way match against purchase orders and goods receipts — catching billing errors and duplicate invoices before payment.

Cross-reference document authenticity signals — metadata inconsistencies, template deviations, alteration markers — across KYC packets and claims files. Flags suspicious documents before they enter your system.

Intics agents are configured to your specific regulatory environment, credit models, and downstream systems. The first step is a Dark Matter Discovery session to map your document estate and quantify the opportunity.

Regulated data leaves your perimeter — regulatory exposure

Per-page fees scale with transaction volume — penalises growth

OpEx — no balance sheet benefit, no depreciation

Vendor model doesn’t learn your specific credit model or policies

Fully sovereign — DORA and GDPR compliant by architecture

Fixed infrastructure — near-zero marginal cost at scale

CapEx — capitalise as infrastructure, improve your cost structure

Continuous learning on your specific document estate and models

Intics provides the full audit trail and governance documentation required for Digital Operational Resilience Act compliance. Every agentic decision is logged with chain-of-thought reasoning, every extraction linked to source evidence, and every human override recorded. DORA audit evidence is available on demand — not assembled retrospectively.

Intics is deployed entirely within your designated environment — private cloud VPC or on-premise data centre. Customer data, transaction records, and financial documents are processed locally. There is no data transfer to external services, no model training on your data by third parties, and no cloud dependency for mission-critical processing.

Every KYC verification decision is logged with the document evidence, confidence score, and verification logic used — creating an immutable audit trail that satisfies examiner requirements across all major jurisdictions. PEP and sanctions checks are performed in real time against your preferred screening databases.

Intics agents provide the complete reasoning chain for every extraction and decision — which fields were extracted, from which document sections, with what confidence, and flagged for what reasons. When a regulator asks why a loan was approved or a claim was settled, the answer is already documented and linked to source evidence.