Discover the right
model for each workflow.task.

Teams that ship AI in production and pay for tokens, from YC-stage startups to mid-market companies and large enterprises. If you want one API across providers, real-time spend visibility, and controls that grow with usage, Concentrate fits.

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.

No. Use one Concentrate API key instead of creating and managing separate keys for OpenAI, Anthropic, Gemini, DeepSeek, and other providers.

Example: Issue one Universal API key for your support app and use it across OpenAI, Claude, Gemini, and DeepSeek.

Concentrate helps you compare models by cost, speed, and quality, then route work to lower-cost models when they are a better fit. You choose what runs where — Concentrate gives you the visibility and routing controls to move workloads, not an opaque automatic swap.

Example: Compare Claude Sonnet, GPT, and Qwen for support summaries, then send that workload to the lowest-cost model that passes your eval.

OpenRouter adds about 3% for payment processing plus a 3% platform fee on top of token cost. Concentrate charges no service fee on tokens. For meaningful usage, we focus on volume-based terms and preferred provider rates where available, with no platform markup on tokens.

Example: Pay token cost without a per-token platform fee on top of provider pricing.

Concentrate supports fallbacks across providers. If one provider slows down or has an outage, your team can route traffic to another provider through the same API.

Example: If Claude on Anthropic direct has an outage, route the same request to Claude on Azure.

You can see requests, spend, models, providers, teams, keys, logs, limits, and alerts in one place instead of piecing it together across provider dashboards.

Example: A Head of AI can see which teams, keys, models, and providers drove yesterday's spend.

Yes. Concentrate tracks spend by organization, team, project, key, model, and provider in real time, so finance and engineering can see what is driving the bill as usage happens — not only at the end of the month.

Example: Finance can spot that the support bot, not the coding assistant, drove this week's Anthropic spend before the invoice arrives.

Yes. Concentrate gives security teams request logs, audit logs, SSO, RBAC, ZDR options, and PII redaction so they can review who is using what and what data is being sent.

Example: Security can review requests that contained PII, confirm redaction, and see who made the call.

LiteLLM is gateway software you host and operate yourself. Concentrate is a managed service: we run model access, store request logs and spend data, and handle team controls — so you access all models through Concentrate instead of juggling separate providers across every environment. You can also point LiteLLM at Concentrate as the backend.

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.

OpenRouter is mainly model access. Concentrate is built for governance and enterprise needs from day one: team and organization workspaces, spend control and token allocation, SSO, RBAC, audit logs, and security review features as usage grows.

Example: Move from raw model access to org-level keys, spend limits, audit logs, and SSO without bolting on a second management layer.

Yes. Point your client at Concentrate's base URL and change the model name in the request. The same integration works across major providers — no separate provider API wiring per model.

Example: Switch a support workflow from GPT to Claude by changing the model name instead of wiring in separate provider APIs.