AI That Works on Your Data, for Your Problem
Most AI failures happen because a generic model was applied to a domain-specific problem without enough problem framing. Quantova starts every AI engagement with a data audit and problem definition — ensuring the approach matches what your data can actually support.
Core Services
Predictive Analytics
Demand forecasting, churn prediction, risk scoring, and anomaly detection models built and validated on your historical data.
NLP and Document Processing
Text classification, entity extraction, document parsing, and intelligent search across your business documents and communications.
Computer Vision
Object detection, visual inspection, defect identification, and image classification for manufacturing and logistics applications.
LLM Integration
GPT-4, Claude, and Gemini API integration for intelligent document Q&A, content generation, and workflow automation.
What You Receive
- Trained and evaluated model with performance metrics
- Model inference API or integration package
- Training data pipeline and documentation
- Model card with accuracy, bias, and limitation disclosure
- Retraining guide for model maintenance
Technology Stack
Common Questions
It depends on the problem. For structured data prediction, a few thousand records can be sufficient. For image classification, tens of thousands are typical. We assess your data volume and quality before recommending an approach.
Yes. We can audit an existing model, diagnose performance issues, and recommend or implement improvements — feature engineering, retraining, or architecture changes.