One Login. Every AI Model.
ChatGPT, Claude, Gemini, and more — through a single secure gateway.
No single model is best at everything. One team wants Claude for long documents, another wants GPT for code, a third wants Gemini for anything in Google Workspace. Buy a seat for each and costs spiral. Standardize on one vendor and people quietly use the others anyway — on personal accounts, outside your control.
A multi-LLM gateway ends that tradeoff. Give everyone access to the models they actually want, through one interface you govern.
Why One Model Is Never Enough
Different Jobs, Different Models
Reasoning, coding, summarizing long files, working inside Office or Workspace — each has a model that does it best. Locking the whole company to one means everyone settles for second-best somewhere.
Per-Seat Licensing Punishes You
Single-vendor seats cost roughly $30/user/month whether people use them or not. Most licenses sit idle. Pay-per-use across many models costs a fraction and reaches everyone.
Lock-In Is a Risk
Models leapfrog each other every few months. Betting the company on one vendor means you can't move when a better — or cheaper — option ships.
Restrictions Create Shadow AI
When the approved tool can't do the job, people reach for the one that can. A gateway that offers every model removes the reason to go around you.
One Gateway, Every Model, Full Control
- Every major model, one interface. ChatGPT, Claude, Gemini, and more behind a single login. Users choose the right model per task — no separate accounts, no separate bills.
- Pay per use, not per seat. You're charged for actual usage instead of idle licenses. Give access to the whole organization without per-seat math.
- One set of guardrails. The same data protection, redaction, and policy apply no matter which model someone picks. Switch models, keep the controls.
- Central visibility. See which teams use which models for what — real usage data to guide your AI strategy instead of guesswork.
- Swap models freely. When a better model launches, route to it without retraining users or renegotiating contracts.
Adoption Without the Lock-In
The goal isn't to standardize on one AI vendor. It's to give people the best tool for the job while keeping your data, policy, and spend under one roof. A multi-LLM gateway does both — broad access for employees, central control for you.