01
Document ingestion
We ingest PDFs, Word docs, HTML pages, emails, scanned images (via OCR), and any document format your workflow produces — on demand or on a recurring schedule.
LLM Text Extraction
Turn unstructured documents into structured, queryable data.
PDFs, contracts, invoices, emails, and reports contain business-critical data locked in unstructured text. We build LLM-powered extraction pipelines that parse, validate, and deliver that data as structured fields — on a schedule, into your stack.
Document types
Any format
Extraction accuracy
95%+
Starting from
$500/mo
Delivery model
SLA-backed
How it works
Four steps from raw document to validated structured output.
Generic OCR gives you text. LLM extraction gives you fields. We build the full pipeline: ingestion, extraction, confidence validation, and delivery — maintained as a production workflow, not a fragile prototype.
02
LLM extraction
Custom LLM prompts are designed around your document types and target schema. The model extracts named fields, classifies content, resolves ambiguity, and maps to your output structure.
03
Validation & confidence scoring
Every extracted record is scored for confidence. Low-confidence fields are flagged for review, anomalies are surfaced, and schema contracts are enforced before output.
04
Structured delivery
Validated outputs are delivered as JSON, CSV, database inserts, webhooks, or REST API responses — directly into your warehouse, CRM, ERP, or internal tools.
Use cases
What teams extract from unstructured data.
Contract & legal document processing
Extract parties, dates, clauses, obligations, and key terms from contracts and legal filings at scale. Reduce manual review time and build searchable contract databases.
Discuss a projectInvoice & financial document extraction
Parse line items, totals, vendor details, tax fields, and payment terms from invoices, receipts, and financial statements into structured tables for AP workflows.
Discuss a projectResearch & market report mining
Extract data tables, statistics, forecasts, and key claims from industry reports, analyst PDFs, and research papers into structured, queryable datasets.
See AI Data PipelinesEmail & communication analysis
Process inbound emails, support tickets, and message threads to extract intent, entities, sentiment, and structured fields for routing, CRM enrichment, or analytics.
Discuss a projectWhy Justmetrically
Built for teams that need reliable extraction, not a demo.
LLM extraction demos look impressive. Production pipelines require schema contracts, confidence thresholds, failure handling, and delivery into real systems. We build and operate the full layer — not just the prototype.
Pipeline, not a script
We build maintained extraction workflows — not one-off Python scripts. Scheduled runs, failure alerts, retries, and output monitoring included.
Schema-aware LLM prompts
Prompts are designed around your target output schema, not generic. Field types, nullability rules, and business logic are encoded into the extraction layer.
Confidence scoring built in
Every output field carries an extraction confidence score. You decide the threshold — low-confidence records can be quarantined, flagged, or routed to human review.
NDA-friendly enterprise delivery
We work within your security and compliance requirements. Documents stay in your environment or in agreed-upon isolated processing — never shared infrastructure.
Ready to extract?
Send us a sample document and we will scope the extraction pipeline.
Projects start from $100 for a validation sprint on your document type. Recurring managed pipelines from $500/mo. We scope around your formats, field requirements, and delivery target.