Get software development services, built around your needs:
Get software development services, built around your needs:
Get software development services, built around your needs:
Build Scalable, End-to-End ML Systems
From data pipelines to real-time inference APIs, we design robust ML architectures with MLOps, model monitoring, and seamless integration for AI applications.
Discuss Your ML Project
Train PyTorch/TensorFlow models with GPU optimization, hyperparameter tuning (Optuna), and distributed training (Horovod).
Fine-tune/open-weight models (Llama 3, Mistral), build RAG pipelines with vector DBs (Pinecone, Weaviate), and optimize inference costs.
End-to-end workflows with MLflow/Kubeflow, CI/CD for models, and drift detection (Evidently).
Optimize models for mobile/IoT (TensorFlow Lite, ONNX Runtime) with hardware-aware quantization.
Real-time object detection (YOLOv8), medical imaging (MONAI), and video analytics pipelines.
Differential privacy, model explainability (SHAP), and HIPAA/GDPR-compliant deployments.
We handle the complete ML lifecycle from data preparation and feature engineering to model deployment and monitoring, ensuring seamless integration with your existing systems.
We adhere to research-backed practices for reliable, maintainable ML systems.
Architectures for scalability and reproducibility.
Feast/Hopsworks for consistent feature access across training/inference.
MLflow Model Registry with staging/production promotion workflows.
Istio traffic splitting to compare model versions in production.
Large-scale ML implementations for Fortune 500 clients
Specialized implementations for unique business needs
MLflow Model Registry + DVC for data/model lineage.
