All patent pending · 60 claims · Track One · U.S. App. Nos. 19/541,231 & 19/666,213

Two Filings · One Closed Loop

From event capture to AI oversight.

Patent 1 creates the deterministic financial evidence: every wire, every accrual, every reconciliation packaged with cryptographic proof. Patent 2 governs how the AI that reasons over that evidence is trained, monitored, and held to the same audit-grade discipline. Together they form a closed loop — not two parallel filings. This is governed domain AI, not a chatbot bolted onto accounting software.

PATENT 1 · DETERMINISTIC EVIDENCE CHAINSettlementVerificationFive-RoleAttestationFASB 91EIRThree-BookReconciliationPATENT 2 · AI GOVERNANCE LAYERCorpusClassificationCoverageReplayTrainingOversightCapabilityRetentionGOVERNED AIVALIDATESEVIDENCEEVIDENCEFEEDSTRAININGCLOSED-LOOP ARCHITECTURE

Patent 1 · Deterministic Evidence Chain

Three filed inventions, engineered as one statutory architecture.

Filed under Track One Prioritized Examination. The first two inventions establish settlement verification and FASB 91 EIR computation; the third unifies them under a single persistent identifier threading the Evidence Spine.

Patent 1 · Invention A

Automated settlement verification.

When a wire instruction arrives for a private credit transaction, the system verifies it against the loan’s current state — outstanding balance, accrued interest, fee schedules, reserves — and generates a deterministic verification token. Corroboration is scored across independent data sources. No back-and-forth email confirmations.

Verification
Deterministic, cryptographic
Corroboration
Multi-source, scored
Settlement
Wire + ledger attestation

Independent claim with supporting dependent claims

Patent 1 · Invention B

Precision interest-rate computation with audit trail.

Effective interest rates are computed using the Newton-Raphson iterative solver — the method required by FASB ASC 310-20 for loan origination fee amortization. Every intermediate step is recorded on a hash-chain provenance ledger. An auditor can reconstruct any number, on any historical date, to the cent.

Solver tolerance
≤10-10
Standard
FASB ASC 310-20
Provenance
Hash-chain across iterations

Independent claim with supporting dependent claims

Patent 1 · Invention C

Multi-layer Evidence Spine architecture.

All financial data is organized along the Evidence Spine — origination, components, lifecycle events, attestation, settlement, reconciliation, daily position — linked by a single persistent facility identifier. Audit evidence under PCAOB AS 1105 is a built-in property of the architecture, not an after-the-fact reconstruction. Five-role attestation per material event requires at least two of Operator, Agent, Administrator, Borrower, Fund Manager.

Architecture
Multi-layer Evidence Spine
Identifier
One persistent facility identifier
Attestation
Five-role, hash-chain gated

Independent claim with supporting dependent claims

Patent 2 · AI Governance Layer

Four filed inventions governing the AI layer above the platform.

Filed under Track One Prioritized Examination. The methodology Enveriti uses to train its own domain-specific AI is itself the patent — a closed-loop discipline that makes AI training auditable, capability-preserving, and reproducibly governed.

Patent 2 · Invention A

Multi-dimensional corpus classification.

Every training record is classified along multiple orthogonal dimensions, producing a coverage matrix that surfaces hidden gaps — such as thousands of records explaining one process but zero teaching the model to diagnose a failure in it. Targeted record generation fills those gaps under governance.

Classification
Multi-dimensional, orthogonal
Output
Coverage matrix with gap surfacing
Remediation
Governed targeted generation

Independent claim with supporting dependent claims

Patent 2 · Invention B

Deterministic coverage replay.

Modern training frameworks shuffle data and report only aggregates — it becomes impossible to know which records the model has seen. This invention deterministically replays training to produce a per-record coverage map, without modifying the underlying framework.

Mechanism
External, deterministic
Framework intrusion
Read-only
Output
Per-record coverage map

Independent claim with supporting dependent claims

Patent 2 · Invention C

Multi-signal training oversight.

Multiple training-quality signals are constructed at every checkpoint. Composite indicators — drawn from disciplines that institutional finance already uses for quantitative oversight — fire only when multiple signals agree, producing high-specificity stop decisions.

Signals
Multi-channel, composite
Decision rule
Multi-indicator agreement
Specificity
Calibrated to zero false-positive stops

Independent claim with supporting dependent claims

Patent 2 · Invention D

Intelligence and capability retention monitor.

During domain-specific training, the model is continuously tested against a held-out general-knowledge evaluation set across multiple categories. If performance degrades, the system flags it and intervenes. Domain expertise without losing general intelligence.

Evaluation
Held-out general-knowledge
Categories
Reasoning · Math · Code · Language · Common-sense
Action
Automated flag + intervention

Independent claim with supporting dependent claims

See the platform that runs on this architecture.

The demo environment spans 30 facilities, 4 funds, and nearly 120,000 events — running on 426 backend routes across 38 domains. Every number deterministically computed.