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Your documents already know the answer. We make them talk.

Contracts, invoices, lab reports, claims — enterprises run on documents that software can't read. We build extraction, classification, and retrieval pipelines that turn document piles into queryable, auditable data.

quantpi · service/telemetry
$ service.describe()
extraction accuracy: eval-gated per field · formats: 40+
ip transfer: complete · lock-in: none
delivery: hyderabad · timezone overlap: US/EU
# every claim on this page is contractually testable
SYS/01The problem

Manual document processing is a tax on every workflow downstream.

Every PDF a human re-keys is latency, cost, and error injected into a process. Generic OCR alone doesn't fix it — production document AI needs layout understanding, field-level validation, confidence routing, and human-in-the-loop for the long tail. That's a pipeline, and pipelines are our trade.

SYS/02What we build

Capabilities

OCR & layout parsing

PaddleOCR, Tesseract, and layout models (LayoutLMv3, Donut) tuned per document family — scans, photos, tables, handwriting.

engines: benchmarked per doc type

Field extraction & validation

Schema-driven extraction with per-field confidence, business-rule validation, and automatic routing of low-confidence items to review.

routing: confidence-based

Classification & splitting

Multi-page packet splitting and document-type classification so the right pipeline processes the right pages.

accuracy: eval-gated

Semantic search & RAG

Hybrid search across the full corpus with citations back to page and region — ask your archive questions, get grounded answers.

citations: page + region

Human-in-the-loop review

Review UIs where corrections feed back into evals and training — the system gets better with use, measurably.

loop: corrections → evals

Systems integration

Output lands where work happens: ERP, DMS, claims systems, data warehouses — via API, queue, or batch.

integration: API/queue/batch
SYS/03How we work

The approach

A sequence, because the order is the point: each phase gates the next on evidence.

01 /

Document audit

We profile your corpus: types, volumes, quality, and the fields that matter. The golden test set is built here.

02 /

Pipeline proof

Extraction accuracy measured per field on your real documents. Targets set with evidence — not vendor brochure numbers.

03 /

Production build

Full pipeline with validation, confidence routing, review tooling, and integration into your systems of record.

04 /

Operate & improve

Monitoring on accuracy and throughput; review corrections flow into evals so quality climbs after launch instead of decaying.

SYS/04What you receive

Deliverables

  • Document processing pipeline (full IP)
  • Per-field accuracy report on golden set
  • Confidence-based review routing + UI
  • Classification and packet-splitting models
  • Semantic search layer with citations
  • Integration connectors to target systems
  • Throughput and cost dashboard
  • Operations runbook
Working stack
PaddleOCRTesseract v5LayoutLMv3DonutBGE-M3OpenSearchQdrantFastAPINATS JetStreamPostgreSQLMinIOPresidio
SYS/05Questions, answered straight

FAQ

What extraction accuracy is realistic?
Printed forms reach 98%+ on key fields with validation rules; degraded scans and handwriting run lower and rely on confidence routing so humans only touch the genuinely ambiguous slice. We commit to numbers after measuring your documents — per field, on a golden set you approve.
Can this run on-premises for sensitive documents?
Yes. The entire stack — OCR, layout models, embeddings, search, storage — ships as an air-gapped deployment. No document leaves your network. This is the default pattern for our healthcare and financial clients.
How does this relate to your AI-DMS product?
AI-DMS is our productized document intelligence platform — fastest path if your needs fit its shape. This service is for custom pipelines: unusual document types, deep integrations, or existing-stack constraints. We'll tell you honestly which fits.
What about documents in multiple languages?
The stack handles 100+ languages via PaddleOCR and multilingual embeddings (BGE-M3). Mixed-language corpora — common in trade and logistics — are a standard configuration, not a special case.

Ship AI that earns its place in production.

Tell us what you're building. We'll tell you, candidly, how we'd build it — architecture, timeline, and cost.

Average first response: under 24 hours · straight engineering answers, no pitch theatre