We design, train, and deploy custom AI systems — from prototype to production. Machine learning, computer vision, NLP, and intelligent automation that actually works.
From data preparation to deployment — we design and train models purpose-built for your problem. No off-the-shelf shortcuts.
Object detection, image classification, OCR, and video analysis. Deployed on cloud, edge, and embedded systems.
Text classification, entity extraction, summarization, and conversational AI. Fine-tuned on your domain vocabulary.
Model versioning, CI/CD pipelines, monitoring, and auto-scaling. Production-grade infrastructure from day one.
Pipeline design, feature stores, data quality frameworks, and real-time streaming. Your data, structured and reliable.
Model optimization for on-device inference — quantization, pruning, and ONNX conversion. Intelligence without latency.
We map your problem space, audit your data, and define measurable success criteria before writing a line of code.
2 weeksRapid experimentation — baseline models, feature engineering, and architecture exploration. We fail fast and iterate.
2-3 weeksHyperparameter tuning, cross-validation, and adversarial testing. Models must meet defined thresholds before proceeding.
3-4 weeksProduction infrastructure, API endpoints, monitoring dashboards, and drift detection. We don't disappear after launch.
1-2 weeks + ongoingContinuous evaluation, retraining pipelines, and performance optimization. Your models get better every quarter.
ongoing
The AI industry is full of buzzwords. We focus on what actually works — measurable outcomes, production reliability, and models that solve real problems.
Every project starts with a success metric. Every model is validated against real-world data. Every deployment includes monitoring and drift detection.
Read our approach →
Real-time defect detection for automotive parts. 99.2% accuracy, 4ms inference time on edge hardware.
Automated contract review and risk scoring. Reduced review time from 4 hours to 12 minutes per document.
Personalized product recommendations serving 2M+ daily users. 34% uplift in click-through rate.
| Model | Task | Metric | Score | Status |
|---|---|---|---|---|
| vision-v3.2 | Defect Detection | Accuracy | 97.4% | PASS |
| nlp-v2.1 | Document Classification | F1 Score | 0.94 | PASS |
| fraud-v4.0 | Transaction Screening | AUC-ROC | 0.987 | TRAINING |
| rec-engine | Product Recommendations | NDCG@10 | 0.89 | PASS |
| ocr-v2.0 | Handwriting Recognition | CER | 1.2% | PASS |
| anomaly-v1.3 | Network Intrusion | Precision | 96.1% | PASS |
"KORVA took our messy sensor data and turned it into a predictive maintenance system that pays for itself every quarter. No hype, just results."
— VP Engineering, Industrial Automation Co."Their computer vision system catches defects our human inspectors missed. 99.2% accuracy on the production line — and it runs on $200 edge hardware."
— Head of Quality, Automotive Manufacturer"From prototype to production in 6 weeks. They didn't just build a model — they built the infrastructure to keep it running and improving."
— CTO, FinTech StartupFrom prototype to production in 8 weeks. Measurable outcomes, not buzzwords.