Stelo AI — IDP and Open Data Verification for Finance

Stelo AI is a Spanish intelligent document processing platform that combines government-sourced Open Data retrieval with AI-powered document verification for financial services, insurance, and lending workflows.

Overview

Stelo AI targets financial institutions, lenders, insurers, and sharing economy operators that need to verify customer documents as part of onboarding, underwriting, and claims workflows. The platform's most distinctive capability is its user-consented Open Data service: rather than relying solely on uploaded documents, Stelo retrieves original records directly from Spanish government sources including Agencia Tributaria, Seguridad Social, and Carpeta Ciudadana. This positions Stelo closer to a data-at-source verification layer than a conventional OCR-and-extract platform, and differentiates it from pure-play IDP vendors such as Docsumo or Parashift that work exclusively with submitted documents.

The platform covers the full document lifecycle from collection through verification. A low-code journey builder lets operators configure tailored collection flows for different customer profiles — employees, freelancers, pensioners — with automatic reminders for missing documentation. Verified data flows into an Intelligent Back Office portal where human reviewers handle exceptions; Stelo claims over 50% efficiency gain on transactions requiring human intervention. Document types supported include payslips, bank statements, tax declarations, notarial deeds, contracts, and proof of address, covering the core set required for KYC/KYB and credit underwriting.

No funding rounds, leadership changes, or analyst coverage were identified in available research. The company's geographic focus is currently Spain, with expansion to additional countries and government data sources described as forthcoming.

How Stelo AI Processes Documents

Stelo's pipeline operates across four stages. The first is omni-channel collection: a low-code platform generates document collection journeys that can be embedded into existing customer-facing interfaces. Customers either consent to direct retrieval from government registries or upload documents manually.

The second stage is Open Data retrieval. For consented customers, Stelo pulls authoritative records from Agencia Tributaria and Seguridad Social rather than relying on copies, reducing the opportunity for document substitution or forgery at the source. This is the layer that separates Stelo from standard OCR-based extraction workflows.

The third stage is AI-powered verification. The platform classifies document types, extracts key fields, and assesses authenticity through four mechanisms: cross-checking field consistency across documents in the same submission, validating physical and digital security features, analyzing document metadata, and checking extracted values against external data sources. This multi-layer approach targets the fraud vectors most common in financial onboarding, where altered payslips and fabricated bank statements are the primary risk.

The fourth stage is back-office orchestration. An Intelligent Back Office portal tracks every application, surfaces exceptions for human review with forensic tools, and integrates with existing enterprise systems. The claimed 50% efficiency gain applies specifically to the human-review stage, not to straight-through processing rates overall. No independent benchmark or third-party accuracy figure has been published to verify this claim.

Use Cases

Financial Services and Lending

Banks and lenders deploy Stelo for KYC/KYB identity verification, credit underwriting, and account holder change workflows. The Open Data connection to Agencia Tributaria is directly relevant for income verification in mortgage and personal loan origination, where tax return authenticity is a recurring fraud vector. The platform also supports employee screening, covering work history, academic credentials, and criminal record verification for HR-adjacent financial workflows.

Insurance

Insurers use Stelo across the policy lifecycle: onboarding and KYC/KYB at the front end, policy management changes in the middle, and claims processing at the back. The claims use case is notable because it extends document processing beyond structured identity documents to include invoices and health records attached to claims. Automated quoting based on existing customer policy data is also listed as a supported workflow, connecting document intelligence to pricing decisions. This breadth across the insurance lifecycle puts Stelo in similar territory to SortSpoke and Indico Data, though with a stronger emphasis on government data integration than on submission triage.

Technical Specifications

Feature	Specification
Document Types	Payslips, bank statements, tax declarations, notarial deeds, contracts, proof of address, invoices, health records, identity documents
Input Formats	Not disclosed
Output Formats	Not disclosed
Processing Pipeline	Omni-channel collection, Open Data retrieval, AI classification and extraction, multi-layer authenticity verification, back-office orchestration
API/Integration	Low-code plug-and-play integration; back-office portal integrates with existing enterprise systems
Deployment Options	Cloud
Certifications	Not disclosed
Claimed Accuracy	50%+ efficiency gain on human-review transactions (vendor-reported, unverified)
Open Data Sources	Agencia Tributaria, Seguridad Social, Carpeta Ciudadana (Spain); additional countries described as forthcoming)
Pricing	Available upon request; free demo offered