super.AI

Where It Excels:

• Processing high-volume invoice batches for accounts payable teams in financial services, where manual keying creates bottlenecks and OCR tools break on diverse vendor formats.
• Automating bills of lading, shipping manifests, and customs documents for logistics companies where document variety and turnaround speed are both critical, as demonstrated by Chi Cargo increasing processing from 50% to 100% of documents.
• KYC and AML document verification for fintech and payment companies like Nexi Group, where onboarding accuracy and processing speed directly affect compliance risk and customer conversion.
• Nameplate and certification data extraction for Testing, Inspection, and Certification (TIC) companies like Bureau Veritas, who reported a 75% time reduction per project after adopting super.AI.

Accuracy and Reliability Architecture:

• super.AI's Accuracy Advantage framework splits each document processing task into discrete subtasks, routes each to the best available AI model or human reviewer, and then combines outputs into a verified unified result.
• New AI models are continuously deployed into the platform, meaning accuracy on specific document types improves over time without any manual retraining required from enterprise users.
• The platform supports over 500 document layouts and languages, with documented case study results across English, German, Spanish, French, Portuguese, and Japanese among others.
• Visa reported a 99% accuracy rate in enrichment of global merchant records after deploying super.AI, while Chi Cargo achieved a 92% reduction in human review hours across its logistics document workflows.
• The self-service free tier uses the same underlying AI models as enterprise deployments, meaning teams can validate accuracy on their own documents before committing to a paid plan or enterprise contract.