Document AI with human-in-the-loop QA
Extraction pipelines fail gracefully when confidence scores route work to review queues—and when auditors can replay decisions.
What we build
Document AI capabilities we deliver
Explore deliverables, tooling, and how we engage. Select any item for detail.
Technology stack
Behind every intelligent solution lies a powerful technology stack
We implement production-grade AI tooling across automation, models, data, and operations—aligned with your cloud standards and compliance requirements.
How we deliver
From messy scans to trusted structured data
We design document pipelines with accuracy targets, human review, and ERP-ready outputs—so extraction quality is measurable, not assumed.
Pilot on your highest-volume document types first
Confidence scoring and review queues for low-quality pages
Idempotent jobs into DMS, ERP, or data warehouse
Accuracy dashboards and continuous improvement loops
Industries
Where document AI returns time and accuracy
Finance, healthcare, logistics, and public sector teams process thousands of pages weekly—automation pays when extraction is auditable and integrated.
Healthcare & Life Sciences
Clinical forms, referrals, and lab results with PHI controls and reviewer workflows.
Financial Services
Invoices, statements, and KYC packets with reconciliation and exception handling.
Logistics & Operations
Bills of lading, customs docs, and POD capture tied to TMS and WMS.
SaaS & Tech
Contract and order PDFs routed into CRM and billing with validation rules.
Retail & E-commerce
Vendor invoices and returns documentation with three-way match support.
Education
Transcripts, applications, and compliance packets with retention policies.
Public Sector
Permits, applications, and correspondence with redaction and audit logs.
Manufacturing & Industrial
Work orders, QC sheets, and supplier certs linked to MES and ERP.
AI Solutions
Document intelligence programs we've delivered
Case studies across invoices, contracts, clinical forms, and ops packets—with accuracy targets and audit-friendly workflows.
Coin Keeper
Crypto App
CryptoWrex
Ecommerce Banking App
Nostradamus Tips
Smarter Crypto
Social Gold App
Coin Keeper
Nostradamus Tips
Crypto App
Smarter Crypto
CryptoWrex
Social Gold App
Ecommerce Banking App
Process we follow
A proven path from sample docs to production extraction
Labeling strategy, pilot accuracy, integration, and operate—with clear thresholds before anything hits your ledger.
Discover & align
Inventory doc types, fields, and downstream systems—agree accuracy targets and review rules up front.
Build & evaluate
Build extraction and classification with labeled samples and error analysis on real scans.
Harden for production
Wire review UI, APIs, and monitoring—validate edge cases before full-volume cutover.
Launch & handoff
Playbooks for model updates, vendor changes, and seasonal doc layouts your team can run.
Frequently asked questions
Frequently Asked Questions
Common questions about OCR, extraction, and document automation.
Still Have Questions?
We’re here to help you!
PDFs, scans, photos, email attachments, and mixed layouts. We pilot on your highest-volume doc types first and expand in phases.
Pre-processing, confidence scores, and human review queues for pages below threshold—so bad inputs don't silently pollute downstream systems.
Yes. We push structured JSON or files into SharePoint, NetSuite, SAP, Salesforce, or custom APIs with idempotent jobs and replay.
We design for least-privilege access, encryption, retention policies, and audit logs—common in healthcare, finance, and public sector deployments.
Targets depend on document type and scan quality—we agree field-level goals in the pilot and measure on your real samples, not vendor benchmarks alone.
Insights
From our engineering team
Practical notes on architecture, delivery, and shipping software your team can operate—not generic consulting filler.
Production RAG: run evals before you ship to customers
Retrieval quality, citation coverage, and regression suites matter more than model choice. Here is the eval ladder we use before any copilot touches production traffic.
Designing APIs that survive real-world load
Versioning, idempotency, pagination contracts, and error shapes that keep mobile, partner, and batch clients stable when traffic spikes.