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FinOpslyAsk a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
What is RouteLLM?
Developed by LM-SYS, RouteLLM is an accessible toolkit that allows users to allocate tasks across multiple large language models, thereby improving both resource management and operational efficiency. The system incorporates strategy-based routing that aids developers in maximizing speed, accuracy, and cost-effectiveness by automatically selecting the optimal model tailored to each unique input. This cutting-edge method not only simplifies workflows but also significantly boosts the performance of applications utilizing language models. In addition, it empowers users to make more informed decisions regarding model deployment, ultimately leading to superior results in various applications.
What is RouteAI?
RouteAI is a unified AI infrastructure and API routing platform built to help teams reduce inference costs without sacrificing performance. The platform gives developers one API for accessing multiple mainstream AI models, making it easier to switch, route, and scale model usage. RouteAI is fully compatible with the OpenAI API protocol, so teams can keep existing OpenAI SDKs and requests while changing only the base URL and API key. Its global route acceleration uses edge node coverage, intelligent routing, and load balancing to deliver faster and more stable AI responses. The platform is designed for production AI applications that require low latency, high availability, and predictable infrastructure operations. RouteAI includes enterprise-grade security features such as fine-grained API key permissions, real-time usage monitoring, alerts, and data protection controls. It also highlights SOC 2 certification, a 99.9% uptime SLA, cross-border payment support, balances that never expire, and exchange subsidies. Developers can use RouteAI with Python, Node.js, Java, Go, C#, and other supported environments. The platform provides documentation, API examples, online debugging tools, and a simple three-step workflow for getting an API key, choosing a model, and sending a request. RouteAI’s model catalog and articles position it as a unified routing layer for modern AI development teams using global LLMs. By combining OpenAI compatibility, global acceleration, intelligent routing, model access, security, monitoring, and usage-based infrastructure, RouteAI helps enterprises and developers run AI inference more reliably and cost-effectively.
Media
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Integrations Supported
Amazon Bedrock
Anyscale
Chatbot Arena
Claude
GPT-4
Gemini
Gemini Enterprise
GitHub
Mixtral 8x7B
Ollama
API Availability
Has API
API Availability
Pricing Information
Pricing not provided
Free Version
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Customer Service / Support
Web-Based Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
Training Options
Not specified
Company Facts
Organization Name
LMSYS
Company Website
github.com/lm-sys/RouteLLM
Company Facts
Organization Name
RouteAI
Date Founded
2026
Company Website
www.fastrouteai.com
Categories and Features
AI Gateways
Not specified
LLM Routers
Not specified
Categories and Features
LLM Routers
Not specified