Enable AI FinOps with real-time token attribution
Gain full transparency into AI unit economics. Centralize control, eliminate Shadow AI, and secure LLM infrastructure with the OpenLM Enterprise AI Gateway.
Solving both sides of the AI cost equation
API consumption (AI Gateway)
Pay for what you use
Monitors granular API traffic, token volume, and latency for developers and DevOps.
Subscription management (SaaS Agent)
Pay for who you have
Reclaim unused seat-based licenses (e.g., Claude Pro, Cursor) for IT and Procurement.
Eliminate Shadow AI across the organization
Enterprise-grade AI infrastructure control
Precise token attribution and unit economics
Establish the ROI of AI by mapping costs per internal project, department, or customer query.
Model-agnostic AI gateway
A single, standardized entry point for Google Gemini, Anthropic Claude, and OpenAI—ensuring your governance remains intact regardless of which LLM you choose tomorrow.
Real-time guardrails
Move beyond simple throttling to active policy enforcement. Block PII leaks, toxic content, or high-cost queries before they reach the provider.
Privacy-first monitoring
Built-in PII redaction and security protocols ensure that while you monitor metadata (tokens/latency), your sensitive prompt data remains private.
Model-agnostic integration for professional workflows
OpenLM Enterprise AI Gateway fits into existing development environments without disrupting productivity.
Claude Code CLI & Developer Tooling
Developers can route traffic through the AI Gateway by updating endpoint configurations. This ensures “under-the-hood” terminal usage and automated scripts are captured in corporate token budgets.
Eliminate Shadow AI
Bring unmanaged AI usage into a governed environment. Our gateway provides visibility into unauthorized LLM access while maintaining a seamless developer experience.
Monitoring for seat-based licenses like Cursor AI and Claude Pro is handled via the OpenLM SaaS Agent integration, providing a 360-degree view of both usage-based and seat-based costs.
Standardized for enterprise FinOps
The OpenLM AI Gateway generates usage logs compliant with FOCUS (FinOps Open Cost and Usage Specification) versions 1.0 through 1.3. This allow teams to plug AI consumption data directly into existing FinOps dashboards like CloudHealth or Apptio without manual mapping.Â
Unified visibility across the AI open-source ecosystem
OpenLM is committed to an open-source first integration strategy. We aggregate telemetry from leading AI Gateways and Egress Proxies into a single, FOCUS-compliant dashboard, providing a unified view of your entire engineering and AI software estate.Â
Organizations already utilizing LiteLLM for model orchestration can now leverage OpenLM to bridge the gap between technical usage and financial accountability. By centralizing data from these open-source tools, OpenLM eliminates the need for fragmented reporting and brings AI into your broader software asset management strategy.
| Provider | Integration type | Status |
|---|---|---|
 |
Native telemetry ingestion | Live / Available |
 |
AI gateway observability | Coming soon |
 |
Egress proxy monitoring | Coming soon |
Measurable business outcomes
Drive operational efficiency and financial accountability across your AI infrastructure.
Eliminate Shadow AI
Detect and consolidate unauthorized, “under-the-radar” LLM usage across the organization into a single managed environment.
Departmental chargebacks
Automate the mapping of unpredictable LLM costs to specific cost centers based on factual token consumption.
Performance benchmarking
Identify high-latency models or providers to optimize the user experience for internal AI tools.
Frequently asked questions (FAQ)
Identify high-latency models or providers to optimize the user experience for internal AI tools.
The OpenLM AI Gateway is designed to generate usage telemetry compliant with the FinOps Open Cost and Usage Specification (FOCUS) versions 1.0 through 1.3. This allows organizations to stream “FOCUS-compliant” JSON events directly into existing FinOps dashboards (like CloudHealth or Apptio) for a unified view of cloud and AI spend without manual data mapping.
Does the AI Gateway impact the performance or latency of LLM requests?
The AI Gateway is deployed as a high-throughput, “Dockerized” edge node within your own infrastructure. By processing requests locally and using an event-driven Kafka pipeline for data streaming, it ensures minimal latency while maintaining compliance with internal security policies.
. How does the solution address "Shadow AI" and unauthorized usage?
By acting as a centralized AI Gateway (or Egress Proxy), the solution provides a single point of entry for all LLM traffic. This allows IT leaders to detect and consolidate “under-the-radar” API usage into a governed environment where every token is attributed to a specific user, department, or project.
Can OpenLM monitor both API-based usage and seat-based subscriptions?
Yes. OpenLM utilizes a “Two-Pillar” approach to solve the full AI cost equation:
- Pillar 1 (AI Gateway): Monitors usage-based API traffic (e.g., OpenAI, Gemini, Anthropic) for real-time token attribution.
- Pillar 2 (SaaS Agent): Tracks seat-based licenses (e.g., Claude Pro, Cursor AI) to identify and reclaim unused subscriptions.
Is the monitoring "Privacy-First" regarding sensitive prompt data?
The Gateway is designed for LLM Observability and metadata extraction, focusing on token counts, costs, and latency rather than content storage. It includes capabilities for PII Redaction and real-time Guardrails, ensuring that sensitive data is protected or blocked before it ever leaves your secure environment.Â
Future-proof your AI observability
Whether you are deploying our standalone AI Gateway or integrating with LiteLLM, Kong, and Envoy, OpenLM ensures your AI FinOps strategy is built on open standards and universal visibility.
