JanitorAI provides a managed middleware platform that optimizes large language model (LLM) API usage by routing requests to the lowest‑cost provider, caching frequent prompts, and batching similar queries. It offers real‑time performance monitoring, cost analytics, and budgeting alerts through easy‑to‑integrate SDKs, helping developers and enterprises reduce AI spend and latency.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that rely on large language model APIs often face high operational costs, unpredictable latency, and limited control over data handling, making it difficult to scale AI-powered applications efficiently.
Solution
JanitorAI offers a managed platform that optimizes the use of LLM APIs by routing requests through a cost‑aware, performance‑focused middleware layer. The service caches frequent queries, batches similar requests, and applies dynamic routing to select the most cost‑effective provider in real time. It also provides monitoring dashboards that track usage, latency, and spend, allowing teams to set budgets and alerts. By abstracting the underlying API complexities, JanitorAI enables developers to integrate AI capabilities while maintaining predictable costs and performance.
Target Audience
JanitorAI is aimed at product teams, developers, and enterprises that embed large language model capabilities into their software and need to control expenses and latency.
Features
- Intelligent request routing that selects the lowest‑cost LLM provider based on real‑time pricing and latency
- Automatic caching and deduplication of frequent prompts to reduce redundant API calls
- Batch processing of similar queries to improve throughput and lower per‑request fees
- Usage analytics and cost monitoring dashboard with customizable alerts and budgeting tools
- Simple SDKs and API wrappers for quick integration with existing applications