Production-ready infrastructure for reliable, cost-optimized GenAI systems.
GenAI models in production face latency spikes, runaway costs, and reliability issues. Without proper observability and controls, teams struggle to diagnose performance problems, costs spiral out of control with inefficient API usage, and production incidents lack the tracing needed for rapid resolution. Models are deployed without proper versioning, making rollbacks difficult and A/B testing impossible.
Observable, cost-optimized, reliable LLM systems with complete visibility into every request, cost controls that reduce API spend by 40-70% through intelligent caching and routing, automated safety checks that prevent harmful outputs, and CI/CD pipelines that enable safe, rapid iteration on prompts and models. Your team gains confidence in production deployments with comprehensive monitoring and instant rollback capabilities.
All our solutions are deployed on our production-grade cloud-native platform, designed for enterprise AI workloads at scale.
Langfuse, OpenTelemetry, MLflow, custom tracing solutions
AWS Bedrock, Google Vertex AI, Azure OpenAI, OpenAI API
Git-based versioning, prompt registries, experimentation platforms
Semantic caching, intelligent routing, token optimization
2 weeks
Rapid proof-of-concept implementation with core tracing and monitoring capabilities.
6-8 weeks
Production-ready LLMOps platform with full observability, CI/CD, and safety controls.
Ongoing
Fully managed LLMOps platform with 24/7 monitoring, optimization, and support.
See how our LLMOps platform can reduce costs and improve reliability for your GenAI applications.