Cloudidr LLM Ops is an AI FinOps gateway for controlling and attributing LLM API spend. It sits between applications and LLM providers, and the page says it gives engineering and finance teams request-level cost attribution, hard budget controls that block overspend, and intelligent model routing to cut LLM costs by 75–90%.
The service supports routing across AWS Bedrock, OpenAI, Anthropic, and Gemini. Its interface highlights an optimization flow with a complexity scorer that uses 36 factors on a 0–400 point scale and routes prompts across model tiers such as Claude Haiku, Claude Sonnet, and Claude Opus. The page also describes quality fallback behavior in which a low score escalates to the next tier automatically. Savings and spend reporting are shown in the interface, including monthly, last-month, and all-time savings figures.
Cloudidr says users can pay their LLM provider directly, without a middleman, and that there is no lock-in because setup or tear down can be done in 60 seconds. It is available as SaaS or can be deployed fully in an AWS VPC for data-sensitive workloads, with prompts never leaving the customer’s infrastructure. The page also advertises a free starter plan with no card needed and says cancellation is possible at any time. A separate enterprise callout refers to full VPC deployment and the data and control plane being deployed entirely in the customer’s AWS VPC. The page also mentions AWS Marketplace.
Cloudidr LLM Ops sits in PulseGate's LLM eval & observability category. Helping businesses reduce and control LLM API costs by routing requests across multiple AI providers with real-time analytics and budget controls. Cloudidr LLM Ops is a B2B product aimed at engineering and finance teams managing AI API usage. Cloudidr LLM Ops follows a freemium model. It ships for the web and API.
Among its 5 catalogued features are model routing, cost attribution, and budget controls. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do