AI Model Matrix
Natural Language Processing Suite
- Financial smart customer service
- Multilingual translation
- Legal contract review
Financial smart customer service, legal contract review, and multilingual translation models are in production. The service bot achieves 98.5% intent accuracy with live Chinese-English-Japanese switching; the legal model reviews thousands of pages in minutes with 99% risk-clause recall; the translation model outperforms major clouds in BLEU and runs on-premise for regulatory compliance. Few-shot fine-tuning lets clients adapt models to their domains within one week using proprietary data.
Computer Vision Suite
- Industrial quality inspection: ms-level inference, 99.8% accuracy; three inspectors replaced per camera
- Medical imaging: 97.3% sensitivity for lesion detection
- Incremental learning: nonstop evolution and weekly accuracy gains
The portfolio spans classification, object detection, instance segmentation, and action recognition. Industrial quality-inspection models infer within milliseconds at 99.8% accuracy, replacing three human inspectors per camera; medical lesion models reach 97.3% sensitivity, boosting early screening. Incremental-learning pipelines allow non-stop absorption of new defect samples on the line, evolving accuracy weekly and lowering repurchase costs.
Forecast & Decision Suite
- Retail demand forecasting: MAPE < 8%, inventory turnover days -20%
- Equipment-failure early warning: 95% accuracy, alerts 7–30 days ahead
- Explainable reports: no coding required for business users
Combining deep and classical ML, the suite offers demand forecasting, risk assessment, and equipment-failure warnings for retail, manufacturing, and energy. Retail forecast MAPE stays below 8%, cutting inventory turnover by twenty percent; predictive-maintenance accuracy reaches 95%, issuing alerts seven to thirty days ahead and reducing unplanned downtime by forty percent. Auto feature-engineering and explainable reports let business users grasp model outputs without coding.