Scry AI — IDP Platform for Regulated Industries

Scry AI is a mid-market intelligent document processing (IDP) vendor with estimated $63.8M annual revenue and 187 employees, positioning its Collatio platform against larger competitors like ABBYY and UiPath in banking, insurance, and trade finance. Founded in 2014 and self-funded, the company claims 99% accuracy for line-item recognition through its proprietary Auriga large language model (LLM), with template-free extraction across structured, semi-structured, and unstructured documents.

How Scry AI processes documents

Collatio's core pipeline captures, classifies, extracts, and validates information from complex documents without requiring template configuration. The Auriga LLM powers semantic understanding across varying document formats, accounting software outputs, and languages, enabling the platform to adapt to new document types without manual rule updates. As Scry AI describes it: "Collatio IDP is a self-sufficient, modular Intelligent Document Processing system that captures, classifies, extracts, and validates information from complex documents. It uses Auriga to provide accurate, context-aware responses and natural language interaction, enabling users to query and collect information seamlessly."

Unlike cloud-only competitors such as Rossum, Scry AI supports SaaS, private cloud, and on-premises deployment. That flexibility matters in regulated industries where data residency requirements rule out pure SaaS platforms. The platform handles PDFs, scans, tables, charts, and multi-language documents, with built-in reconciliation covering 3-way and 6-way matching, anomaly detection through its Anomalia module, and human-in-the-loop review workflows for audit compliance.

Prebuilt document packs for invoices and statements shorten initial onboarding. The platform also learns from human corrections over time, raising first-pass yield without manual retraining. This feedback loop distinguishes Collatio from static template-based approaches, though independent benchmarks validating this improvement rate are not publicly available.

Trade finance expansion

In January 2026, Scry AI published a detailed guide positioning Collatio for trade finance automation, a vertical where, as the company notes, "banks, trade service providers, and global exporters still rely heavily on paper-heavy, manual processes involving dozens of documents, signatures, and checks." The platform now supports parsing of SWIFT MT700 messages, commercial invoices, bills of lading, and shipping documents across multiple languages and formats.

Compliance automation is central to the trade finance use case. Collatio performs automated sanctions and embargo flagging, document mismatch detection, and KYC, AML, and ESG screening, with centralized audit dashboards for transaction tracking. This positions the platform directly against manual compliance workflows that remain common in correspondent banking and trade services.

Use cases in regulated industries

Banking financial spreading

Banks processing loan applications extract financial data from tax returns, bank statements, profit and loss statements, and balance sheets submitted by borrowers. Collatio identifies financial line items across diverse document formats and accounting software outputs, extracting revenue, expenses, assets, liabilities, and cash flow figures without template configuration. The financial spreading capability specifically bridges modern AI extraction with legacy core banking systems that cannot be replaced immediately, addressing a practical integration challenge that pure cloud IDP vendors often sidestep.

Extracted data populates loan underwriting systems for credit analysis and risk assessment. Reconciliation features validate consistency across multiple years of financial statements, flagging discrepancies before they reach underwriters.

Insurance KYC automation

Insurance carriers automate know-your-customer processes by extracting identity information, beneficial ownership structures, and regulatory compliance data from customer submissions. Collatio processes identity documents, corporate registration certificates, tax forms, and beneficial ownership declarations across formats and languages. The SchematicIQ module analyzes organizational charts and ownership diagrams to identify ultimate beneficial owners and control structures. Integration with compliance databases enables automated PEP and sanctions screening, while audit trails document each verification step for regulatory reporting.

Government document digitization

Government agencies digitizing historical records face degraded document quality, historical formats, and handwritten content that defeats template-based OCR. Collatio's multi-format processing handles these conditions, with the Digital Archive solution indexing extracted content for search and retrieval. The Anomalia fraud detection module identifies suspicious patterns in permit applications and benefit claims through anomaly detection, routing flagged submissions for human review rather than straight-through processing.

Competitive positioning

Scry AI's 26% employee growth and $63.8M revenue estimate indicate meaningful enterprise traction, particularly among regulated institutions where data privacy requirements favor on-premises deployment. The company hired Ajay Piwhal as SVP of Solutions and Growth and Srini Bharadwaj as Head of Digital Transformation, signaling a push to scale AI-based harmonization capabilities across new verticals.

The platform's vertical specialization in financial document processing and insurance workflows, with pre-built connectors for Guidewire and Duck Creek, contrasts with the horizontal market approach of larger competitors. Where ABBYY and UiPath compete across industries, Scry AI concentrates on finance-heavy documents, table extraction, and audit-friendly governance.

One limitation worth noting: Scry AI's own content acknowledges that third-party benchmarks for Auriga's generative AI performance are limited, and pricing is quote-based with no published tiers. Buyers evaluating Collatio against UiPath or ABBYY will need to run their own proof-of-concept to validate the 99% accuracy claim against their specific document types.

Technical architecture

Collatio combines OCR, NLP, and computer vision with the Auriga LLM for generative AI capabilities. The architecture supports explainability and auditability at the extraction layer, addressing regulatory requirements that pure black-box AI systems cannot satisfy. Security controls include SOC 2 and ISO 27001 certification, encryption at rest and in transit, role-based access control, and data isolation for on-premises deployments.

Company information

Scry AI was founded in 2014 and remains self-funded, a notable distinction in an IDP market where most competitors at this revenue scale have taken venture or private equity capital. The company is headquartered in San Jose, California, and won the 2022 Best of San Jose Business Awards in the Research category, providing third-party recognition of its AI research work.

Notable clients include Microsoft, Cisco, Wells Fargo, Kaiser Permanente, and Credit Suisse, spanning technology, financial services, and healthcare verticals.

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