The Enterprise PDF Processing Platform Built to Operate at Scale
Every component of Inkscribe AI Enterprise is architected for the demands of large organizations — high volume, distributed teams, strict compliance, and mission-critical SLAs.
Cloud-Native Architecture Designed for Enterprise Teams
Frontend
React + TypeScript
Real-time collaborative UI
Real-time Layer
WebSocket + OT
Conflict-free concurrent editing
AI Engine
Claude Sonnet + TensorFlow
PDF processing + ScribIQ
Infrastructure
Cloud-native, multi-region
Auto-scaling, 99.9% SLA
Process Any PDF, Any Size, Without Limits
Our hybrid OCR engine routes each document through the optimal processing path — Tesseract for speed, PaddleOCR for complex layouts, and Claude AI for maximum accuracy. The result: 99%+ accuracy across every document type, at any scale.
4.1 Indemnification. The Contractor shall indemnify and hold harmless the Client against any and all claims, damages, losses, and expenses...
4.2 Limitation of Liability. In no event shall either party be liable for any indirect, incidental, special, or consequential damages...
4.3 Insurance Requirements. The Contractor shall maintain general liability insurance with coverage of no less than...
Concurrent Editing, Zero Conflict
Inkscribe AI Enterprise uses operational transformation to enable true simultaneous editing — the same technology that powers Google Docs, applied to enterprise PDF document workflows.
AI That Thinks at the Scale of Your Organization
ScribIQ for Enterprise isn't limited to one document at a time. It maintains context across your entire document library, learns your organization's specific terminology, and delivers intelligence at a level no human team can match alone.
Analyzed 340 contracts in 8 minutes. Flagged 12 auto-renewal conflicts.
Extracted vendor, amount, and PO# from 4,200 invoices. 99.8% field accuracy.
Cross-referenced 600 patient intake forms against EHR standards. 24 discrepancies flagged.
The parties hereby agree to the terms and conditions set forth in this agreement, including all schedules and annexures attached hereto.
Die Parteien vereinbaren hiermit die in dieser Vereinbarung festgelegten Geschäftsbedingungen, einschließlich aller beigefügten Anhänge.
100+ Languages. Zero Formatting Loss.
Inkscribe AI Enterprise handles multinational document workflows with neural machine translation that preserves structure, tables, and formatting. For critical documents, our human translator network provides an additional layer of review.
Automate the Work Between the Work
Inkscribe's visual workflow engine connects document processing to your existing business systems — without custom code. Build approval chains, trigger downstream actions, and enforce SLAs automatically.
If confidence < 95% → Route to Manual Review
Dashboards That Drive Decisions, Not Just Data
Inkscribe AI Enterprise transforms document processing data into operational intelligence. Know exactly how your teams perform, where bottlenecks occur, and what your ROI looks like — in real time.
Processing Capabilities by Tier
| Starter | ProfessionalPopular | Supreme | |
|---|---|---|---|
| Pages per batch | 100 | 300+ | 1,000+ |
| Pages per month | 10,000 | 50,000 | Unlimited |
| Concurrent users | 5 | 25 | Unlimited |
| Processing speed | 50–100 ppm | 100–200 ppm | 200+ ppm |
| Priority queue | Standard | Priority | Dedicated |
| Processing ETAs | Real-time | Real-time+ | Real-time+ |
| Cancellation/Pause | |||
| On-premise option | |||
| SLA | 99.9% | 99.9%+ | Custom |
Integrations by Category
Connect Inkscribe AI Enterprise to the systems your teams rely on every day.
Document Storage
- Google Drive
- SharePoint
- OneDrive
- Dropbox Business
- Box
Communication
- Slack
- Microsoft Teams
- Google Workspace
Automation
- Zapier
- Make.com
- REST API
- Webhooks
- MCP Protocol
Enterprise Systems
- Salesforce
- SAP
- Custom ERP (via API)
- LDAP/Active Directory
- OKTA/Auth0 (SSO)
See the Full Platform in Action — Live
Book a 30-minute technical demo with one of our enterprise architects. We'll walk through your specific use case, volume requirements, and integration needs.
No commitment required · Dedicated onboarding · Implementation in as little as 3 weeks