Keep your AI running in production.Keep your AI running in production. The Futuralis LLMOps and GenAI Lifecycle Management on AWS service helps organizations maintain production GenAI systems with monitoring, evaluation pipelines, prompt and version management, model quality checks, token and cost tracking, drift review, and a recurring optimization cadence.
Futuralis implements a monitoring and evaluation pipeline, prompt registry and version management, model and response quality checks, token and cost tracking, drift and quality review, incident workflow, and a recurring optimisation cadence — giving your team full lifecycle visibility and control over production GenAI workloads on Amazon Bedrock and SageMaker.
Core deliverables include an LLMOps operating model, evaluation dashboard design, prompt registry, AI cost report, production monitoring checklist, incident workflow, and monthly AI health report.
