Run on someone else’s cloud
Your AI tools live in a vendor’s account, and moving gets harder every year.
Run in your own cloud
Manelink runs in your AWS, Azure or Google Cloud account, or in your data center.
Everything your AI team needs runs where your data lives, set up by our experts alongside your team.
Your AI tools live in a vendor’s account, and moving gets harder every year.
Manelink runs in your AWS, Azure or Google Cloud account, or in your data center.
The vendor picks the model, the price and the terms for every request.
Use Claude, or any model with an OpenAI-compatible connection, including one you host.
Company data sits on a provider’s servers, under their rules.
Your workspaces, records and files stay in your own environment.
One AI team that knows each team’s tools, in an environment your company owns and runs.
Manelink’s experts join your team and stay through the first routines.
The same Manelink in every case. You decide where it sits.
We run it for you in Manelink’s AWS environment. The quickest way to begin.
See pricingWe install and manage it in your AWS, Azure or Google Cloud account.
Talk to us about your setupWe set it up on your own hardware and run it with your IT team.
Talk to us about your setupPlans can run on your own AI key, so model costs and terms stay between you and your provider.
Claude, or any model with an OpenAI-compatible connection, including one on your own servers.
Every AI worker logs each action it takes, in your own workspace.
Your AI workers, routines and records run in an environment you control: your own cloud account or your own data center, with the model you choose.
No. Customer Cloud runs in your AWS, Azure or Google Cloud account. Manelink Private is for teams that want it on their own hardware.
Claude, or any model with an OpenAI-compatible connection, including one you host yourself. You can change models later.
Manelink’s experts. They install it, connect your systems and data, and set up the first routines with your team.
Yes. Start with one team and its routines, then add more teams as your AI workers earn your trust.
Each AI worker has a role, a lead and set routines. Every action is logged, and the rules they learn from your reviews stay in your workspace.