Concentrate: LLM Gateway Concentrate launched an LLM Gateway that lets teams access 130+ models through a single API, with features for routing, security, spend management, and fallback redundancy. The platform provides universal API keys, team workspaces, data redaction, and audit controls, and is trusted by leading companies to power their AI applications. The LLM Gateway for Fast Growing Teams Discover the right model for each task. Securely access, use, and manage AI via one API. There's a smarter, faster, cheaper model for every request. Find it here. Find the Best Fit Model Access 130+ models, benchmark cost, speed, and quality, and route each task to the best fit. Protect Sensitive Data Keep customer data out of training, logs, and unauthorized models, with privacy and security you can review. Keep AI Apps Up & Running Stay online with built-in redundancy that reroutes traffic when providers slow down or fail. Manage AI Token Spend Track AI usage by team, project, or employee. Set budgets, catch spikes, and control spend. Trusted by leading companies to power their AI applications. How to use Concentrate - STEP 01 Sign up /auth/login Create your workspace and add teams. WorkspaceWorkspacePersonalTeamSupport - STEP 02 Purchase tokens Use credits on any model or provider. No service fees. Balance$99.00Used today$10.42 - STEP 03 Connect your app Create a key /auth/login , swap your baseURL, route to any model.API keybase url = "https://api.concentrate.ai/v1" - STEP 04 Monitor usage Check logs, spend, redaction, fallbacks, and alerts. UsageSpend$8.6kRequests2.3MPII redacted12% Enterprise ready Enterprise-grade features for teams of any size Start using AI instantly. As usage grows, Concentrate keeps model access, routing, guardrails, analytics, spend management, and team controls in one place. What's included: Universal API Keys Issue keys without sharing provider-console access. Team Workspaces Map teams, projects, and keys to the right owners. Spend Tracking See token spend by organization, team, key, model, and provider. Usage Analytics View usage by model, provider, team, project, or user. Request Logs Filter status, latency, tokens, cost, model, and provider. Fallbacks Reroute requests when a selected provider slows down or fails. Alerts Monitor balances, key limits, error spikes, and unusual spend. Data Redaction Redact sensitive PII, PCI, and PHI from prompts, responses, or both. ZDR Turn zero data retention on and enforce it by provider, team, or key. Audit Controls Track actor, time, action, entity, and resource changes. RBAC Control who can manage members, teams, keys, and settings. SSO / SAML Require SSO, verify domains, and connect your identity provider. Frequently asked questions FAQs What is Concentrate.ai? Example: Point your client at Concentrate's base URL, pick a model, and reach OpenAI, Anthropic, or Google through one key. Who is Concentrate for? Example: A seed-stage product team and a platform org at a global bank can both start with one key and add team budgets, SSO, and audit logs as usage scales. Do I need to create keys with every provider? Example: Issue one Universal API key for your support app and use it across OpenAI, Claude, Gemini, and DeepSeek. How does Concentrate lower LLM costs? Example: Compare Claude Sonnet, GPT, and Qwen for support summaries, then send that workload to the lowest-cost model that passes your eval. How is pricing different from OpenRouter? Example: Pay token cost without a per-token platform fee on top of provider pricing. How does Concentrate reduce downtime? Example: If Claude on Anthropic direct has an outage, route the same request to Claude on Azure. What management view does Concentrate give us? Example: A Head of AI can see which teams, keys, models, and providers drove yesterday's spend. Can finance see where AI spend is going? Example: Finance can spot that the support bot, not the coding assistant, drove this week's Anthropic spend before the invoice arrives. Can security teams review AI usage? Example: Security can review requests that contained PII, confirm redaction, and see who made the call. How is Concentrate different from LiteLLM? Example: Keep litellm.completion in your app, set api base to Concentrate, and use one Concentrate key to access all models instead of juggling separate providers. How is Concentrate different from OpenRouter? Example: Move from raw model access to org-level keys, spend limits, audit logs, and SSO without bolting on a second management layer. Can we switch models without rewriting our stack? Example: Switch a support workflow from GPT to Claude by changing the model name instead of wiring in separate provider APIs. Use any model in < 30 seconds. Sign in, create a key, and send your first request through Concentrate. Create a Key /auth/login