Sphere wins 2026 Global Recognition Award
Sphere Partners
⚡ AI Accelerator · Production-ready in 4 weeks

Turn any document into structured, actionable data — automatically

Sphere's Document Intelligence extracts, classifies, and interprets contracts, invoices, claims, and forms with 99%+ accuracy — deployed inside your cloud, integrated with your systems, live in weeks, not quarters.

30-minute audit of your highest-volume document workflow. No commitment — you keep the ROI analysis.

🛡 SOC 2 Type II
☁️ Deploys in your AWS VPC
🤝 AWS Partner
🔒 Your data never trains models
invoice_2026-0142.pdf → extracted in 1.8s
VendorAcme Logistics LLC99.4%
Invoice #INV-2026-014299.8%
Amount$48,250.0099.6%
Due dateJul 15, 202698.9%
PO matchPO-88121 ✓97.2%
Routed toAP approval queueAuto

99%+

Extraction accuracy on production workloads

80%

Reduction in manual document review time

4 wks

From kickoff to production deployment

1M+

Documents processed across client deployments

The hidden cost

Manual document processing is your most expensive invisible workflow

Hours lost per document

Teams spend 8–15 minutes keying, checking, and routing each contract, invoice, or claim — multiplied across thousands of documents a month.

≈ 2.5 FTEs per 10k docs/month
⚠️

Errors that compound

Manual entry error rates of 1–4% turn into duplicate payments, missed contract obligations, compliance exposure, and rework downstream.

Each error costs 10× to fix downstream
📉

Decisions stuck in PDFs

Unstructured documents can't be searched, analyzed, or automated. The data your operation needs is trapped in formats your systems can't read.

80%+ of enterprise data is unstructured
ROI calculator

What is manual processing costing you?

Estimated annual savings with Document Intelligence$304,000
8,000hours freed / year
4.0FTE equivalent
Estimates based on 80% automation of manual processing time. Book a free audit for a breakdown tailored to your document types and volumes.Get my full ROI breakdown →
How it works

From document chaos to structured data in three steps

1

Ingest anything

PDFs, scans, emails, faxes, handwritten forms, photos. Connects to your inbox, SFTP, DMS, or API — no change to how documents arrive today.

Amazon Textract · OCR · multi-format pipeline
2

Understand & validate

LLM-powered extraction classifies each document, pulls every field with confidence scores, cross-checks against your systems, and flags only the exceptions for human review.

Amazon Bedrock · human-in-the-loop · audit trail
3

Act automatically

Structured data flows straight into your ERP, CRM, or workflow engine. Approvals route themselves. Everything becomes searchable and reportable.

NetSuite · SAP · Salesforce · custom APIs
Use cases

Built for the documents that run your business

Contract intelligence

Extract parties, terms, renewal dates, obligations, and non-standard clauses from any contract format — then make your entire repository searchable and monitorable.

  • Auto-extract key terms, dates, and obligations with clause-level citations
  • Flag non-standard language and missing clauses against your playbook
  • Renewal and obligation alerts pushed to the right owner
  • Natural-language search across your full contract repository
Audit my contract workflow →
92%faster contract review vs. manual paralegal pass

Don't take our word for it. Test it on your document.

Send us one redacted sample — a contract, invoice, claim, or form. Within 48 hours you'll get back the structured extraction, field-level confidence scores, and an accuracy assessment for your document type. Free, no commitment.

📄 Drop a sample documentor email it to docintel@sphereinc.com
PDF, image, or scan · redact anything sensitive · NDA available
Why Sphere

Your real alternatives, compared honestly

Manual processingGeneric OCR toolsBuild in-houseSphere Document Intelligence
Handles complex / messy documents✕ Error-prone✕ Templates break✓ If built well✓ LLM-powered, format-agnostic
Time to production2–4 months tuning9–18 months✓ 4 weeks
Understands context, not just text✓ Humans✕ Extraction only✓ Possible✓ Classification + interpretation + validation
Runs inside your cloud✕ Usually SaaS-only✓ Your AWS VPC, your data
Integrates with your ERP / systems✕ Re-keying✕ Limited connectors✓ Custom work✓ Included in deployment
Cost at 10k docs/month≈ $300k+/yr in labor$ + heavy exceptions labor$500k+ build + teamFixed-scope deployment + predictable run cost
Security & deployment

Enterprise-grade by default

☁️

Your cloud, your data

Deploys inside your AWS VPC. Documents never leave your environment.

🛡

SOC 2 · HIPAA-ready

Audit trails on every extraction and human-review decision.

🚫

No model training on your data

Your documents are never used to train foundation models.

👁

Human-in-the-loop

Confidence thresholds route low-certainty fields to your reviewers.

Client results

From 11 minutes per document to 40 seconds

“We were drowning in vendor invoices and freight documents. Sphere had extraction running against our real documents in the second week — by week six, 80% of volume needed no human touch at all.”
VP of Operations · National logistics provider
80%touchless processing rate
$410kannual labor cost avoided
17×faster document turnaround
5 wkskickoff to production
Engagements

Start free. Prove it in two weeks. Scale with confidence.

Free Document Audit

$0
30 minutes · this week
  • Map your highest-volume document workflow
  • ROI estimate for your volumes and labor costs
  • Accuracy expectations for your document types
  • You keep the analysis either way
Book my audit
MOST POPULAR

2-Week Proof Pilot

$9,500
fixed scope · fixed price · credited toward deployment
  • Extraction pipeline running on 500+ of your real documents
  • Measured accuracy report by field and document type
  • Exception-handling workflow design
  • Production deployment plan + business case deck
  • 100% credited if you proceed to deployment
Start my pilot

Production Deployment

Custom
typically 4–8 weeks · fixed-scope phases
  • Full pipeline in your AWS environment
  • ERP / CRM / workflow integrations
  • Human-review console + audit trails
  • Training, runbooks, and managed support options
Scope my deployment
FAQ

Questions buyers actually ask

OCR converts images of text into characters but doesn't understand them. Intelligent document processing — like Sphere's Document Intelligence — combines OCR with large language models to classify each document, extract specific fields with confidence scores, validate them against your business rules and systems, and route the results into your workflows. The practical difference: OCR gives you text you still have to process; IDP gives you decisions-ready data.

Get your free Document Audit this week

30 minutes with a document AI architect — not a salesperson. Walk away with an ROI model for your actual volumes, accuracy benchmarks for your document types, and no commitment. The analysis is yours to keep.