TensorFlow at Production Scale
Build neural networks that generalize. From experimentation to production inference serving, we architect TensorFlow systems that are reliable, performant, and maintainable.
What we deliver with TensorFlow
Keras Model Design
Clean, composable layers. CNNs, RNNs, Transformers—built with clarity and best practices.
Data Pipelines
tf.data for efficient loading, augmentation, and batching. Non-blocking, scalable data handling.
Training & Optimization
Custom training loops, mixed precision, distributed training on multi-GPU systems.
Model Evaluation
Rigorous validation, cross-validation, and hyperparameter tuning. Metrics that matter.
Production Export
SavedModel format, TensorFlow Lite, quantization for mobile and edge deployment.
Inference Serving
TensorFlow Serving for low-latency predictions. Containerized, scalable, monitoring built-in.
Why choose Straitworks for TensorFlow
ML Expertise
We understand both the math and production reality. Models that work, not just papers.
Performance Optimized
Inference latency, GPU utilization, throughput. Every millisecond and dollar counts.
Production Ready
Monitoring, versioning, rollback. ML models served with reliability and confidence.