Turn documents into trusted business data with ease
Add AI-powered classification, extraction, and document understanding when traditional rules and templates reach their limits. IRISPulse AI Xtract processes complex layouts, handwriting, tables, and unstructured content, delivering accurate, structured data to the applications and workflows your organization already uses. With a fast, no-code setup and intuitive validation experience, teams can accelerate automation and achieve better extraction outcomes with less effort.

Broader automation
Handle document cases that are difficult for fixed templates.
Less manual effort
Reduce repetitive interpretation and data entry.
Protect existing investment
Extend supported IRIS environments without replacing them.
More controlled AI
Manage services through monitoring, lifecycle and governance.
Apply AI where document complexity creates work
IRISPulse AI Xtract is the AI core of IRISPulse. It supports IRISPulse applications, partner verticals and supported on-premises IRIS products with shared services for classification, extraction and document understanding.
From client application to structured result
Client application
An IRISPulse application, IRIS product or external application submits the document.
IRISPulse
A workflow triggers the selected IRISPulse AI Xtract service.
AI service
The selected extraction or classification service runs.
AI processing
AI extracts the required information from the document.
Structured result
The result is ready for validation, routing or integration.
Select the right model approach for each service
IRISPulse AI Xtract combines a service catalogue with a model layer designed for multiple AI model providers and deployments. IRIS is choosing the ones that best fit your needs; Having the right AI for the right Job. The portfolio includes open-source LLMs, IRIS-optimized models, customer-specific fine-tuned models and an AI Service Designer for partners and customers.
- Compose services
Create document extraction, classification, enrichment or entity-recognition services. - Configure models and prompts
Select and configure models, define prompts and publish services to the catalog. - Operate through a shared runtime
Use execution, orchestration, monitoring, telemetry, security and governance services.
IRISPulse AI Xtract Service Architecture
AI Service Catalog
Extraction · classification · enrichment · entity recognition
Vendor-agnostic model layer
Open source · IRIS models · customer-specific models
Platform and runtime
Execution · routing · load balancing · monitoring · telemetry
Security and governance
Access control · audit · quality oversight
Manage AI services as controlled business capabilities
The IRISPulse AI Xtract lifecycle includes service states, versioning, controlled rollout, compatibility management, deprecation warnings and platform-level management.
Start with the documents that create the most exceptions.
Show us the formats, layouts, handwriting, tables and extraction challenges that limit your current process.