Invariant Engineering Group
Systems We Build
Production AI systems for document intelligence, data extraction, and workflow automation. Real systems solving real problems.
Document Intelligence Pipelines
End-to-end systems for processing, classifying, and extracting structured data from documents
Examples
- •OCR + classification + extraction workflows
- •Multi-document processing with validation
- •Structured output generation (JSON, databases)
- •Quality assurance and error handling
Common Constraints
- →High accuracy requirements
- →Volume processing
- →Complex document types
Schema-First Data Extraction
Hybrid AI + deterministic systems that produce predictable, validated outputs
Examples
- •Contract data extraction to structured schemas
- •Form processing with validation rules
- •Invoice and receipt parsing
- •Medical record data extraction
Common Constraints
- →Strict output schemas
- →Validation requirements
- →Audit trails needed
Agent-Orchestrated Workflows
Multi-step AI workflows with explicit state management and error handling
Examples
- •Document review and approval workflows
- •Research and analysis pipelines
- •Multi-step data processing
- •Automated decision support systems
Common Constraints
- →Complex business logic
- →Human-in-the-loop
- →Failure recovery
Production AI Integrations
AI capabilities embedded into existing systems with proper guardrails
Examples
- •API integrations with AI processing
- •Database-backed AI features
- •Real-time AI-powered endpoints
- •Batch processing systems
Common Constraints
- →Existing system integration
- →Performance requirements
- →Observability needs
Not Sure Which Applies?
Most projects combine multiple patterns. Talk to us about your specific requirements and constraints.
Discuss Your Project