Veriff vs Hyperscience

Veriff verifies government IDs, selfies, and business records so companies can onboard users, run KYC and AML checks, and block fraud in about six seconds. Its decision engine analyzes behavioral data across each session and is trusted by more than 3,000 companies worldwide, including Instacart, Western Union, Wise, and Monzo. Automated identity checks report roughly 99.6% accuracy.

Many verification vendors license document forensics, liveness, and face-match models from third parties and rebrand the stack. Veriff builds its decision engine, liveness matching, and document forensics in-house, so one team owns accuracy when a case fails review. AML and database checks use named specialist partners listed in its sub-processor documentation rather than hidden behind the brand.

The platform combines document checks, biometric matching, passive liveness detection, and database cross-referencing into one workflow. It supports more than 12,500 government-issued identity documents across 230+ countries and territories, with end-user flows available in 50 languages. Beyond onboarding, Veriff covers proof of address, age validation, AML screening, business verification across 300+ jurisdictions, and ongoing biometric re-authentication.

Financial services, marketplaces, iGaming, mobility, and HR teams use Veriff for KYC, KYB, age assurance, and account reverification at scale. Fraud tools like CrossLinks, FaceBlock, and session video recording help teams spot synthetic identities and repeat offenders across the shared verification network.

Hyperscience reads, classifies, and extracts data from unstructured enterprise documents at scale through its Hypercell intelligent document processing platform. It handles invoices, mortgage files, benefits forms, and handwritten paperwork, then routes validated output into downstream systems with accuracy rates the company cites at 99.5% and automation rates near 98%.

Legacy OCR tools break on messy scans and need constant template retraining. Hyperscience uses a model-first architecture with specialized models plus ORCA, its zero-shot vision language model, to process new document types without prior training runs. The platform is FedRAMP High authorized and integrates with AWS, Azure, and Google Cloud for public sector and regulated workloads.

Operations teams in financial services, insurance, logistics, and government agencies use Hyperscience to replace manual data entry. Named a Leader in the first Gartner Magic Quadrant for Intelligent Document Processing (2025) and the Forrester Wave for Document Mining and Analytics (Q2 2026), with customers including American Express, MetLife, and the US Social Security Administration.