TFLite Mobile Deployment
On-device ML for iOS and Android using TensorFlow Lite — fast inference without sending data to a server.
AI/ML
TensorFlow Development
🧠 Production ML at scale built with TensorFlow
We build TensorFlow models for production — mobile deployment with TFLite, serving with TF Serving, and large-scale training on GCP's Vertex AI.
TensorFlow 2.xKeras API
TFLiteMobile & edge
Vertex AIGCP training
What We Build
What we build with TensorFlow
TF Serving
Production model serving with TF Serving — versioned model management, A/B testing and low-latency inference endpoints.
Vertex AI Training
Large-scale distributed training on Google Cloud Vertex AI — custom training jobs with managed infrastructure.
TFX ML Pipelines
End-to-end ML pipelines with TFX — data validation, transformation, training, evaluation and serving in one managed system.
Recommender Systems
TensorFlow Recommenders (TFRS) for collaborative filtering, content-based and hybrid recommendation systems.
Model Optimisation
TFLite quantisation, pruning and clustering — smaller, faster models for edge and mobile deployment.
Deliverables
Every TensorFlow project includes
✓TensorFlow 2.x with Keras API
✓TF Data pipeline for efficient data loading
✓TFLite conversion and optimisation
✓TF Serving deployment with Docker
✓Vertex AI training jobs
✓TFX pipeline if required
✓Model evaluation and drift monitoring
✓MLflow or W&B experiment tracking
FAQ
Common questions
TensorFlow or PyTorch?
PyTorch for research and most new training projects. TensorFlow when TFLite mobile deployment, TF Serving ecosystem or Vertex AI integration is a priority.
Do you use Keras or the low-level TF API?
Keras API (tf.keras) for most work — more readable and faster to iterate. Low-level TF API only for custom training loops that Keras can't express cleanly.
Can TensorFlow models run on mobile devices?
Yes — TFLite is our recommendation for running ML models on iOS and Android without an internet connection.
Do you support TPU training?
Yes — Google Cloud TPUs via Vertex AI for large-scale TensorFlow training jobs where TPU cost efficiency beats GPU.
Ready to build with TensorFlow?
Production-first, mobile-ready and deeply integrated with GCP — TensorFlow for deployment-focused ML.
Build With Us
Ready to start your project?
Tell us what you want to build. We reply within 4 business hours.
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