Record Intelligence

Fast Track | 12-16 Weeks

Record Intelligence

Process genealogy collections at scale with hybrid AI

Man working on a computer with AI interfaces for genealogy data.

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

Bottleneck icon

Standardization Bottleneck

  • 6 weeks per collection on standardization alone
  • Manual rule-building and testing
  • External consultant dependency
35-40% of total cost
Complexity icon

Matching Complexity

  • 60-70% of records are duplicates across sources
  • Same person with different spellings and variations
  • Manual genealogist review required
25-30% of total cost
Backlog icon

Backlog Crisis

  • 1B+ unindexed records globally
  • Growing 20+ years annually
  • Digitization 5x faster than indexing capacity
Unsustainable Approach
Our Solution

What We Do to Your Records

Five-step transformation from messy OCR output to live, searchable genealogy data

0

Hybrid OCR Foundation

The Routing Engine

Why we achieve 95%+ accuracy where single systems stop at 87-93%.

Azure Doc Intel
  • checkStructured forms
  • checkPrinted text
  • crossStruggles with handwriting
  • crossPoor on aged documents
Gemini 2.5 Pro
  • checkHandwritten text
  • checkHistorical context
  • crossSlower processing at scale
  • crossLess precise on forms
OptiSol Hybrid
  • checkRoutes each document optimally
  • checkCombines best results from all systems
  • checkValidates across systems
  • checkAchieves 95.2% accuracy

Key Insight: Genealogy records require document-type-aware routing. We intelligently combine results for maximum accuracy.

1

Standardize Names & Dates

Fix messy, inconsistent data using genealogy knowledge graphs.

Raw OCR Output
  • John Smythe
  • Mary Brown
  • Dec 1880
  • Philadelphia
Arrow
STANDARDIZED
Clean Data
  • groom: "Smith, John"
  • bride: "Brown, Mary"
  • date: "1880-12-15"
  • location: "US-PA-042"
Info icon Auto-fixes: "Jon Smythe" → "Smith, John" | "Dec 1880" → "1880-12-15"
2

Find & Merge Duplicates

Identify same person across multiple records with 99%+ confidence.

#1
#234
#567

MERGED

John Smith

married Mary Brown

Date icon1880-12-15 | Location iconPhiladelphia, PA
99.8%
3

Validate & Flag Issues

Run 20+ quality checks automatically

Validation Checks
  • Missing spouse name?
  • Birth date after marriage?
  • Location plausible for era?
  • Conflicting information?
Arrow
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

4

Deliver & Enable

Load into indexing system and go live

Production Ready
  • 3,500 deduplicated records
  • 100% standardized format
  • 95%+ quality validated
  • Complete audit trail
Arrow
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

  • bulletManages Hybrid OCR routing (Step 0)
  • bulletSelects optimal models per document type
  • bulletValidates quality across all record types
  • bulletOrchestrates entire processing pipeline
iBEAM Platform logo

iBEAM Platform

Real-time monitoring and workflow orchestration

  • bulletTracks processing pipeline status
  • bulletManages exceptions and errors
  • bulletMaintains complete audit trails
  • bulletHandles 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.

Direct Comparison

What Record Intelligence Delivers

Direct comparison with manual genealogy processing

Efficiency icon

Efficiency

1-2 weeks VS 6-8 weeks
80%+ savings VS Full cost
Quality icon

Quality

95.2% VS 85-90%
1 needed VS 3-4 needed
Output icon

Output

Live immediately VS Weeks later
Complete & automatic VS Manual
Implementation Roadmap

Your Implementation Timeline

A phased approach designed to remove risk and ensure success at every step.


Weeks 1-2

Discovery & Assessment

Understand your workflow, identify pain points, define success metrics, determine dataset size and scope.

Weeks 3-8

Proof of Concept

Process 50-100K records, validate accuracy with genealogists, confirm ROI & integration approach.

Weeks 9-14

Production Deployment

Scale to full volume, integrate systems, deploy monitoring, and conduct team training.

Week 15+

Optimization & Scale

Apply to additional collections, fine-tune performance, and enable self-service operations.

Enterprise Grade

Built on Enterprise Foundations

Proven capabilities at scale, applied to genealogy's specific challenges.

Global-Scale Data Operations

200M+
95%+

Why it matters for genealogy: You need to process 10M+ records at scale without degradation.

Record Reconciliation at Scale

1,900+
99.8%

Why it matters for genealogy: Finding the same person across records is your core challenge.

Adaptive Document Intelligence

All formats
1800s-present

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

Connect With Us!