Generic AI models don't understand your industry-specific terminology or context
Sending proprietary data to third-party AI APIs creates security and IP risks
Cloud AI costs spiral as usage grows, eating into margins
You're dependent on vendors who can change pricing, features, or shut down APIs
Fayora builds custom AI models fine-tuned on your proprietary data, deployed in your infrastructure. You own the weights, control the costs, and gain competitive advantages that generic models can't provide. From forecasting to NLP to computer vision, we handle the entire ML lifecycle.
Train foundation models (GPT, BERT, YOLO) on your data or build specialized models from scratch for maximum performance.
End-to-end ML pipelines with versioning, monitoring, A/B testing, and automated retraining as new data arrives.
Compress models for edge deployment, optimize inference speed, and reduce serving costs by 10x or more.
Deploy models in your cloud, on-premise servers, or edge devices with full air-gapped security if needed.
Our proven methodology ensures successful delivery and adoption
Define success metrics, gather training data, and establish baseline performance targets.
Clean, label, and augment training data; split into train/validation/test sets with quality checks.
Train multiple model architectures, tune hyperparameters, and select best-performing approach.
Rigorous testing on holdout data, bias/fairness analysis, and real-world scenario validation.
Deploy to production with versioning, monitoring dashboards, and automated retraining pipelines.
Applications
Outcome
Reduced unplanned downtime by 45%
Applications
Outcome
Improved diagnostic accuracy by 22%
Applications
Outcome
Detected 98% of fraud with 60% fewer false positives
Built on enterprise-grade technologies for reliability and scalability
We analyze your needs and define clear objectives
Create detailed solution architecture and roadmap
Develop and test in agile sprints with your feedback
Launch with training and ongoing optimization