super.AI targets the documents that break traditional OCR: mixed-language invoices, multi-page contract bundles, hand-corrected forms, low-quality scans and tables with merged cells. Instead of drawing a flowchart node by node, users describe the job conversationally. The agent selects the appropriate models, structures the output fields, and wires up triggers, filters and integrations, leaving every decision — model choice, prompt, confidence, routing logic — visible and editable on a visual canvas.
Workflows in super.AI are deterministic graphs rather than a single opaque model call. Flows can branch with if/else logic and loops, are versioned, and can be rolled back. An optional Human Review step pauses a run so assigned reviewers correct the extracted values before the flow continues with the reviewed data. The full execution history, including screenshots and inputs for every step, is retained as an audit trail that teams can export for compliance reviews.
Integration is built around REST APIs, webhooks, email and storage triggers (S3, Drive) with direct database write-back and ERP connections. Credentials are held in a KMS-backed encrypted vault scoped per organisation and per workflow, and MFA is supported during runs. Self-service and Growth accounts sit under self-service terms; the SOC 2 Type II report, trust-center access and contractual security commitments are Enterprise-only. super.AI is headquartered in San Francisco with a Berlin office, and offers a free, no-credit-card start along with a book-a-demo path for larger deployments.
