ioNova provides an AI‑native platform that transforms unstructured payment address strings into ISO 20022‑compliant structured fields, preserving key financial identifiers such as LEI, IBAN, and BIC. The sidecar solution integrates with existing payment pipelines in 10–16 weeks, delivering >99% straight‑through processing across 195 countries while offering full audit‑ready explainability for regulatory compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions must convert unstructured payment address data into ISO 20022‑compliant formats to meet upcoming SWIFT CBPR+ and SEPA mandates, but legacy systems lack the ability to parse diverse global address formats, leading to high manual effort, low straight‑through processing rates, and risk of payment refusals.
Solution
ioNova offers an AI‑native enterprise platform that automatically resolves unstructured payment addresses into fully structured ISO 20022 formats. The system operates as a sidecar, integrating with existing payment pipelines in 10–16 weeks without replacing legacy infrastructure. By applying deep banking logic, the platform validates and preserves financial identifiers such as LEI, IBAN, and BIC before parsing, ensuring entity integrity. It disambiguates geographic locations, resolves historical place names, and de‑duplicates redundant data to produce clean, compliant address records. Full explainability provides field‑by‑field audit trails with rule citations, supporting regulatory compliance and audit requirements. The result is >99% straight‑through processing across 195 countries, helping banks and processors meet the November 2026 deadline for structured address compliance.
Target Audience
Primary customers are banks, payment processors, and other financial institutions that need to achieve ISO 20022 address compliance for cross‑border payments.
Features
- AI‑driven address resolution that converts free‑form payment address strings into ISO 20022‑compliant structured fields
- Sidecar deployment architecture enabling integration with existing systems in 10–16 weeks without legacy replacement
- Validation of 50+ financial identifiers (LEI, IBAN, BIC) prior to parsing to preserve entity data
- Geographic disambiguation that distinguishes locations with identical names using postal patterns and contextual cues
- Historical name resolution for legacy city and street names, automatically mapping to current equivalents
- Intelligent data de‑duplication that removes redundant address elements for clean output
- Full explainability with audit‑ready, rule‑cited field‑by‑field decision logs