Any document in, verified, structured data out.
Invoices arrive as PDFs, scans, emails, or docs, in every layout imaginable. Nothi extracts the data, cross-checks itself across multiple models, flags what it isn't sure about, and gives finance a clean, structured, queryable record.
Powering InvoiceAgent.ai in Production
INVOICE
INV-2026-9481
Acme Industrial Ltd
June 14, 2026
Invoice processing looks simple until you actually look at the invoices.
Every vendor formats theirs differently — PDFs, scanned images, HTML emails, Word docs, with line items, taxes, and totals laid out however that vendor happened to design their template. Manual entry is slow and error-prone.
The Template Chaos
Standard OCR templates break as soon as a vendor changes their invoice format. Adapting rules for 50+ different vendors manually is impossible. When rules break, documents get delayed or values are silently skipped.
The Liability of Silent Errors
Single-model OCR is fast but silently wrong often enough that finance teams can't fully trust it. A decimal point slip, or a misparsed number from a blurry scan is a direct liability to bookkeeping and corporate tax compliance, not a minor interface bug.
What Finance Actually Needs
What finance actually needs isn't just extraction, it's extraction they can trust, with a clear signal for when a human should double-check.
Consensus extraction
you can trust.
Rather than trusting a single model's output, Nothi compares the results across models. When they agree, the data is standardized and delivered with confidence. When they disagree meaningfully, the invoice is flagged for a human to make the final call, with both extractions shown side by side.
Multi-Format Parse
Nothi ingests an invoice in any format, from a connected email inbox or a direct upload, and runs it through OCR and extraction using multiple models in parallel.
Verified Standard Output
Approved data, whether resolved automatically by consensus or flagged for quick human selection, is converted into a standard structured format that feeds database querying and tracking systems.
InvoiceAgent.ai:
Built for Real-World Scale
InvoiceAgent.ai is where this engine runs in production, built for a Riverborn client's finance operations. Invoices come in through email or direct upload, in whatever format the vendor sends, and Nothi handles extraction, verification, and standardization automatically.
Natural Language Query Interface
Where Else This Fits
The same engine — document in, verified structured data out — applies anywhere a business processes documents at volume and needs to trust the result.
Expense reports & receipts
Employee receipts in any format become standardized, policy-checked expense records.
Purchase orders
PO documents are extracted and matched against invoices automatically, catching mismatches before payment.
Contracts
Key terms, dates, and obligations are extracted from contracts in any format for tracking and compliance.
Tax documents
Structured extraction from tax forms and filings, with the same multi-model verification for accuracy-critical data.
Redundant Extraction & Consensus Pipeline
Nothi AI replaces single-model vulnerabilities with consensus verification. Our core architecture processes every incoming document in parallel streams to cross-validate data fields dynamically.
Consensus over single-model trust
Accuracy comes from comparing multiple extractions against each other, not from trusting any one model.
Human review by exception
People only get pulled in when the system itself detects disagreement, not on every document.
Standardization as the foundation
Every downstream feature (duplicates, overdue tracking, queries) runs on the same clean, structured data layer.
Talk to your data
The structured output isn't just stored, it's queryable in plain language using semantic mapping.
Parallel Extraction & Consensus Visualizer
Watch Nothi ingest a document, compare independent extractions, and handle disagreement loops.
Available in Three Formats
Connect Nothi AI into your business workflow using white-label platforms, direct programmatic APIs, or custom extraction configurations.
White-label SaaS
Run Nothi under your own brand, on your own finance or operations platform. Enforce customer invoicing workflows, document pipelines, and customized dashboard rules natively.
API Access
Integrate the document intelligence engine directly into your existing finance stack, ERP, or accounting suite. Submit documents programmatically and ingest verified payload webhooks.
Custom Vertical Build
An extraction and verification layer tuned specifically for your custom document types — expenses, legal contracts, medical reports, tax filings, or otherwise, built on the same proven consensus pipeline.