super.AI turns unstructured business documents into structured, decision-ready data through Intelligent Document Processing (IDP) powered by Large Language Models. The platform combines AI models, software automation, and human expertise to extract, classify, and validate information from any document type1 without requiring training data, templates, or complex setup. Users can build enterprise-grade workflows using plain language, deploy on day one, and integrate results directly into databases and ERPs. The platform guarantees quality, cost, and speed thresholds through 150+ quality assurance mechanisms and human-in-the-loop review for low-confidence results.
No onboarding friction1 deploy and process documents on day one without training data or templates
Guaranteed accuracy over 94% with transparent quality thresholds and 150+ assurance mechanisms
Model-agnostic approach automatically selects best-performing AI model for each task
Human expertise built into platform through Data Processing Crowd for complex exceptions and edge cases
Real-time data validation and synchronization with existing databases and ERP systems
Requires defining quality, cost, and speed thresholds upfront1 users unfamiliar with these trade-offs may find initial setup unclear
Relies on external AI models (OpenAI, Google, Anthropic) which introduces dependency on third-party API availability and pricing
Platform complexity may be excessive for simple document extraction tasks that don't require human review or multi-step validation
Pricing structure not transparently detailed on public website requires demo request for cost estimation
