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Deployments with outcomes

Every project has a success metric. Every model has a production story. Here's the data.

Manufacturing QA vision system
Case Study 01

Manufacturing QA Vision

Client: Tier-1 Automotive Parts Manufacturer

Problem: Manual quality inspection was catching only 82% of surface defects — costing $2.3M/year in warranty claims.

Solution: Custom object detection model deployed on edge hardware at 6 inspection stations. Real-time inference with automated rejection.

99.2%
accuracy
4ms
inference
$1.8M
saved/year
Case Study 02

Legal Document Analysis

Client: Am Law 100 Firm

Problem: Contract review consumed 4 hours per document — lawyers were bottlenecked on repetitive clause analysis.

Solution: NLP pipeline for automated clause extraction, risk scoring, and anomaly detection. Integrated into existing document management system.

12 min
per document
94%
F1 score
95%
time reduction
Legal NLP system
E-commerce recommendation engine
Case Study 03

E-Commerce Recommendations

Client: Regional Fashion Retailer

Problem: Generic "customers also bought" recommendations were underperforming — low engagement, no personalization.

Solution: Hybrid collaborative filtering + content-based model serving 2M+ daily users. Real-time feature pipeline with A/B testing framework.

+34%
CTR uplift
0.89
NDCG@10
2M+
daily users
All Deployments

Performance log

ModelDomainKey MetricScoreStatus
vision-v3.2Manufacturing QAAccuracy97.4%PRODUCTION
nlp-v2.1Legal Document ReviewF1 Score0.94PRODUCTION
fraud-v4.0Financial ServicesAUC-ROC0.987BETA
rec-engineE-CommerceNDCG@100.89PRODUCTION
ocr-v2.0Healthcare RecordsCER1.2%PRODUCTION
anomaly-v1.3Network SecurityPrecision96.1%PRODUCTION
speech-v3.0Customer ServiceWER4.8%TRAINING
forecast-v1.2Supply ChainMAPE6.3%PRODUCTION
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