โšก

Low-Latency Inference

Deploy models into production with enterprise-grade infrastructure optimized for neural workloads. Get sub-100ms p95 latency with automatic scaling.

  • Multi-region deployment
  • Intelligent caching layer
  • Automatic load balancing
  • Batch & streaming support
๐Ÿง 

Model & Prompt Routing

Dynamically route requests between models, versions, and prompt templates with granular control and built-in experimentation capabilities.

  • A/B testing framework
  • Traffic splitting & fallbacks
  • Version management
  • Dynamic policy engine
๐Ÿ“ˆ

Full-Stack Observability

Trace every request from user to neuron with comprehensive metrics, logs, and distributed tracing for complete visibility into your AI stack.

  • Distributed tracing
  • Cost tracking & alerts
  • Quality metrics
  • Performance dashboards
๐Ÿ›ก๏ธ

Guardrails & Compliance

Built-in safety filters, PII redaction, and compliance workflows ensure your AI applications meet security and regulatory requirements.

  • Content safety filters
  • PII detection & redaction
  • Audit trail logging
  • Policy enforcement
๐Ÿ”„

CI/CD Integration

Seamlessly integrate AI deployments into your existing development workflows with GitOps-ready tools and automation.

  • Automated testing
  • Canary deployments
  • Rollback capabilities
  • Environment management
๐Ÿ’ฐ

Cost Optimization

Track, analyze, and optimize your AI infrastructure costs with detailed attribution, forecasting, and recommendation engines.

  • Cost attribution by feature
  • Usage forecasting
  • Optimization recommendations
  • Budget alerts