/neuronio ›› services ›› 02 · document-pipelines

Document Pipelines
that turn paper into structure.

extract · classify · reason · validate

PDFs, faxes, scans, badly-typed forms. We build extraction pipelines with policy reasoning, schema validation, and human-loop redlines — output is structured data your downstream systems already accept.

// 01 intent

Most document AI projects ship the wrong artifact.

Extraction is the easy part. The hard part is producing data that survives a downstream system — typed schemas, normalized values, provenance per field, and a redline path when the model is unsure. Our pipelines optimize for the second half.

// 02 capabilities

What we actually build.

▣

Ingest anywhere

Email, S3, SFTP, scanner output, vendor portals. Watermark, dedupe, and route on arrival.

s3sftpmailgun
▤

Layout-aware OCR

OCR that understands tables, multi-column flows, handwriting, and stamps. Per-token confidence preserved into extraction.

textractgpt-4o-vtesseract
▦

Schema extraction

Typed extraction against your schema with a validator pass. The model proposes; the validator rejects; the orchestrator retries with focused context.

pydanticinstructor
▥

Policy reasoning

Rules a regex can't catch — eligibility, jurisdiction, exception language. Explained in plain English in the audit trail.

claudepolicy-prompts
▧

Redline & approve

Anything below confidence gets routed to a reviewer with the document open and the model's hypothesis pre-filled. Approval rates settle around 92%.

temporalreview-ui
▨

Hand off as data

Webhooks, SQL inserts, ERP API calls, S3 dumps. Whatever your downstream needs. Provenance per field travels with the row.

webhookssqlsap
// 03 artifact

A peek at real output.

schema · insurance-claim-v2.json (excerpt)↻ neuronio.ai
{ "$schema": "https://neuronio.ai/schemas/claim/v2", "claim_id": { "type": "string", "pattern": "^CLM-\\d{4}-\\d{6}$" }, "claimant": { "name": { "type": "string", "min_conf": 0.92 }, "dob": { "type": "date", "validate": "< today" }, "address": { "type": "address","normalize": "usps" } }, "incident": { "date": { "type": "date", "validate": "≤ filed_at" }, "jurisdiction":{ "type": "enum", "source": "address.state" }, "narrative": { "type": "text", "redact": "pii" } }, "line_items": { "type": "array", "item": "#/$defs/line" }, "_provenance": { "per_field": true, "include": [ "page", "bbox", "model", "prompt_id" ], "signed": true // for auditor replay } }
// 04 deliverables

What lands in your repo.

01
Schema & validators
A typed schema in your stack of choice (Pydantic, Zod, Avro), with normalizers and per-field validators.
02
Extraction agent
The pipeline itself: ingestion, OCR, extraction, validation, retries, escalation. Idempotent and replayable.
03
Reviewer console
A side-by-side document/data review UI tuned to your reviewers' actual workflow. Keyboard-first.
04
Eval set
A fixed corpus of golden documents covering normal, edge, and adversarial cases. Runs nightly.
05
Provenance & audit
Per-field source page, bounding box, model version, and prompt id. Signed for tamper-evident audit.
// 05 questions

Things people actually ask.

Q-01Will it handle handwriting?+
Modern handwritten OCR is good but uneven. We benchmark on your real samples in week one and report the floor honestly. If it's not above your acceptance threshold, we say so.
Q-02What's the realistic accuracy?+
First-pass schema validity in the 95–99% range on typed forms; 80–95% on scanned mixed-quality documents. The reviewer console catches the rest. We never claim 100%.
Q-03Can it integrate with our claims/ERP system?+
Yes — outputs land where the downstream wants them: SQL, REST, SOAP, file drops. We've connected to SAP, Salesforce, Guidewire, Epic, and a half-dozen homegrown systems.
Q-04Do you process PHI/PII?+
Yes, with redaction at ingest, encryption at rest, BAAs available, and on-prem or your-VPC deploys. We've cleared HITRUST and SOC2 reviews on prior engagements.
Q-05How do you price?+
Either per-document (predictable, includes review labor at a tier) or per-engineer-month (when volume is volatile). No platform fee, no per-seat.

Tell us the work. We'll tell you the agent.

Open a Channel → All Services ↘