TerraEdge
Case Studies

Proof, not promises.
What enterprises actually get.

Every outcome below is a client metric, not a marketing claim. Accuracy gains, cost reductions, throughput multiples — from live deployments across BFSI, government, aviation, and more.

IonIdea
BFSI — Document Intelligence

US County Deed Parser

From 70–80% accuracy to 95%+ across 240 counties.

95%+
Extraction accuracy (from 70–80%)
20,000+
Deeds processed per day (from 7,000)
40–50%
Operational cost reduction
BDO
Tax Advisory — Document Intelligence

BDO Indian Customs Document Intelligence

99% extraction efficiency on complex customs forms.

99%
Extraction efficiency (from 85%)
60%
Reduction in back-office rework
20% → 5%
Rework as share of total volume
Global Aircraft Maintenance Services Company
Aviation — Custom LLM

Aircraft Maintenance Intelligence (Lightweight LLM)

50% faster technical issue detection on a private LLM.

50%
Reduction in technical issue detection time
Private
Infrastructure, no public model exposure
Light
Objective-specific LLM, cost-effective
US University Group
Education — Document Intelligence

University Examination Evaluation AI Compiler

Evaluation TAT down from 20+ days to 10 days — 98% accuracy, 100% ring-fenced.

10 days
Evaluation TAT (from 20+ days)
48–50%
Operational cost reduction
98%
Extraction accuracy
Leading UAE Bank
BFSI — Predictive Analytics

Reduction of False Positives in SAS AML Data

Rule-based AML alerts pruned with ML — fewer Maker reviews, sharper risk signal.

Lower
False-positive rate on rule-based alerts
Faster
Maker throughput on investigation queue
SAS-compatible
No rip-and-replace of existing AML stack
National Law Enforcement Agency, India
Government — Voice Intelligence

DHVANI Voice Recognition for Law Enforcement

Fraudster voice identification at investigation scale.

Live
Deployed with a national law-enforcement agency
Multi-lingual
Noise-tolerant recognition
Dual-mode
Offline historical + real-time streams
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Next step

Can we produce this kind of outcome on your data?

The only way to know is a scoped 4-week POC with signed KPIs. Fixed price. Conversion credit if you scale.