// Platform Features

Everything to Ship AI at Scale

From automated model training to production monitoring, NeuralFlow covers your entire ML lifecycle.

// AutoML Pipeline

Automated Model Training

Upload your data, define your target, and let NeuralFlow handle the rest. Our AutoML engine tests hundreds of model architectures, optimizes hyperparameters, and selects the best model automatically.

  • Automatic feature engineering & selection
  • Bayesian hyperparameter optimization
  • Ensemble model stacking
  • Support for tabular, image, text & time-series
  • GPU-accelerated training clusters
// Real-Time Inference

Sub-10ms Predictions at Scale

Deploy models to our global edge network and serve predictions in under 10 milliseconds. Auto-scaling handles traffic spikes without configuration.

  • Global CDN with 40+ edge locations
  • Automatic batching for throughput
  • Zero-downtime model updates
  • REST & gRPC endpoints
  • Custom scaling policies
// Model Monitoring

Never Let a Model Go Stale

Real-time dashboards track prediction quality, data drift, and model performance. Set alerts and trigger automatic retraining when metrics degrade.

  • Data drift detection (PSI, KS, Wasserstein)
  • Feature importance tracking over time
  • Custom alert channels (Slack, PagerDuty, email)
  • Automated retraining pipelines
  • A/B testing framework built-in
<10ms
Inference Latency
99.99%
Uptime SLA
50+
Integrations
40+
Edge Locations
// How We Compare

NeuralFlow vs Others

Feature NeuralFlow AI SageMaker Vertex AI MLflow
AutoML Pipeline
Sub-10ms Inference
No-Code UI
Git-Like Model Versioning
Auto-Retraining
Multi-Cloud Deploy
Free Tier
Setup Time5 min2-4 hrs1-2 hrs30 min
// Try It Live

Interactive Demo

See NeuralFlow in action -- right in your browser

neuralflow-cli

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