Financial ServicesNorth America
99.2% extraction accuracy across 10,000+ financial documents a day
Fortune 500 financial services company · Forward-deployed build · managed operation
- 10,000+
- complex documents processed daily
- 99.2%
- field-level extraction accuracy
- $2.4M
- saved annually
How the business benefits
Before vs. after Allometrik
Payback window · 10 weeks
Before
- Daily throughputManual backlog
- AccuracyKeying errors
- AuditScattered
After Allometrik
- Daily throughput10,000+
- Field accuracy99.2%
- Annual save$2.4M
The challenge
- Analysts keyed statements, amendments and scans by hand across hundreds of layouts.
- Plan-year peaks created backlog and compliance exposure.
The approach
- Golden dataset from real history; layout-aware OCR plus schema-constrained extraction.
- Deterministic validation; low-confidence fields to a review queue.
Visual system blueprint
How it actually runs
Stack deployed
What it runs on
- Python services
- OCR & layout analysis
- Schema-constrained extraction
- PostgreSQL
- Review console
- Private cloud
More client stories
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InsuranceSouth & Central America · Mexico
100%of monthly inbound calls audited across 12 quality criteria
Auditing 100% of inbound calls, automating complaint taxonomy at 94% accuracy, and governing every production agent across South & Central America and Mexico
Global Fortune 500 Insurance Group
Banking & FintechSpain · European Union
85%cycle-time cut, scan to ERP
Spanish pagarés read, validated and posted to the ERP — 85% faster, 99.4% field accuracy
European fintech
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