Record Intelligence
Process genealogy collections at scale with hybrid AI
1-2 Days
vs. 6-8 weeks manual
80%+
Cost reduction
10M+
Records/day capacity
95.2%
Accuracy achieved
The Processing Reality
Why traditional manual genealogy processing is unsustainable
Standardization Bottleneck
- 6 weeks per collection on standardization alone
- Manual rule-building and testing
- External consultant dependency
Matching Complexity
- 60-70% of records are duplicates across sources
- Same person with different spellings and variations
- Manual genealogist review required
Backlog Crisis
- 1B+ unindexed records globally
- Growing 20+ years annually
- Digitization 5x faster than indexing capacity
What We Do to Your Records
Five-step transformation from messy OCR output to live, searchable genealogy data
Hybrid OCR Foundation
The Routing Engine
Why we achieve 95%+ accuracy where single systems stop at 87-93%.
Azure Doc Intel
Structured forms
Printed text
Struggles with handwriting
Poor on aged documents
Gemini 2.5 Pro
Handwritten text
Historical context
Slower processing at scale
Less precise on forms
OptiSol Hybrid
Routes each document optimally
Combines best results from all systems
Validates across systems
Achieves 95.2% accuracy
Key Insight: Genealogy records require document-type-aware routing. We intelligently combine results for maximum accuracy.
Standardize Names & Dates
Fix messy, inconsistent data using genealogy knowledge graphs.
Raw OCR Output
- John Smythe
- Mary Brown
- Dec 1880
- Philadelphia
Clean Data
- groom: "Smith, John"
- bride: "Brown, Mary"
- date: "1880-12-15"
- location: "US-PA-042"
Find & Merge Duplicates
Identify same person across multiple records with 99%+ confidence.
MERGED
John Smith
married Mary Brown
Validate & Flag Issues
Run 20+ quality checks automatically
Validation Checks
- Missing spouse name?
- Birth date after marriage?
- Location plausible for era?
- Conflicting information?
Quality Results
- 3,325 pass
- 175 flagged
- 100% auditable
From 3,500 deduplicated records: 3,325 pass all checks (95%) • 175 flagged for minor review (5%) • All documented with complete audit trail
Deliver & Enable
Load into indexing system and go live
Production Ready
- 3,500 deduplicated records
- 100% standardized format
- 95%+ quality validated
- Complete audit trail
Live & Searchable
- Searchable
- Filterable
- Browsable
- Ready for research
Timeline: Complete 5-step workflow: 1-2 weeks (vs. 9 weeks manual) • 10,300 records processed end-to-end • Collection moves from "processing" to "live"
Powered by elsAI Foundry & iBEAM
Enterprise infrastructure managing the complete workflow
elsAI Foundry
Enterprise-grade AI orchestration platform
Manages Hybrid OCR routing (Step 0)
Selects optimal models per document type
Validates quality across all record types
Orchestrates entire processing pipeline
iBEAM Platform
Real-time monitoring and workflow orchestration
Tracks processing pipeline status
Manages exceptions and errors
Maintains complete audit trails
Handles billions of records at scale
Fortune 500 foundation. Built specifically for genealogy's challenges: handwritten records, historical documents, complex deduplication at scale.
Processing Foundation
Built on enterprise-grade infrastructure proven to handle billions of records. Same technology foundation that powers global-scale data operations across Fortune 500 organizations.
What Record Intelligence Delivers
Direct comparison with manual genealogy processing

Efficiency

Quality

Output
Your Implementation Timeline
A phased approach designed to remove risk and ensure success at every step.
Discovery & Assessment
Understand your workflow, identify pain points, define success metrics, determine dataset size and scope.
Proof of Concept
Process 50-100K records, validate accuracy with genealogists, confirm ROI & integration approach.
Production Deployment
Scale to full volume, integrate systems, deploy monitoring, and conduct team training.
Optimization & Scale
Apply to additional collections, fine-tune performance, and enable self-service operations.
Built on Enterprise Foundations
Proven capabilities at scale, applied to genealogy's specific challenges.
Global-Scale Data Operations
Why it matters for genealogy: You need to process 10M+ records at scale without degradation.
Record Reconciliation at Scale
Why it matters for genealogy: Finding the same person across records is your core challenge.
Adaptive Document Intelligence
Why it matters for genealogy: Historical records come in every format imaginable—handwritten, printed, aged, degraded.
Ready to transform genealogy processing?
Start with a 30-minute discovery call to understand how Record Intelligence can work for you
Structured forms
Struggles with handwriting
Routes each document optimally

