Runvo gives a firm its own private AI workspace at its own address, on single-tenant infrastructure in the region you choose, and then operates it. One firm per deployment, and no AI team of your own required.
No firm decided to put client work through personal AI accounts. Its people did it anyway, because the tools were good and nobody had given them anything else. By the time a policy exists, it has been going out for a year, and the question is no longer whether to allow AI.
Your clients have started asking, in writing, which AI you use.
An answer that covers the partners and nobody else is not an answer. The firm needs one place its people would rather use, and everyone in it.
This is built for firms of roughly 150 to 800 people whose staff handle confidential client work. Below that, a licence bought per person from one of the large providers is simpler, and we will say so. A private workspace also does not override a client contract that forbids AI on that client’s material. If that is your constraint, this does not solve it.
Every firm gets its own instance, its own database, its own storage and its own keys, in the region it names, shared with no other firm. That sentence is the whole of what the word private is doing here, and it is either true of a deployment or it is not. Where a firm’s own client contracts require it to sit inside that firm’s cloud tenancy instead, we do that, and it costs more.
The reason to do this is not the invoice. It is that a partner can answer, in writing, which AI the firm uses and where the material goes, and the answer describes your own deployment rather than quoting a paragraph from somebody’s terms of service. We name the models in use, and we tell you before that changes.
Depending less on personal AI accounts is no good if it only makes you depend on us instead. The models underneath are ones you could buy from directly, and your material and your history come out in a form you can read. If leaving is hard, we built it wrong.
We start with what the firm already does with AI, which is usually more than the partners think, and with what your own client contracts and procurement answers already commit you to. That settles which of the two deployments you take. This stage is paid, like every stage after it.
Your instance goes up at your own address, with its own database, its own storage and its own keys. It authenticates against your directory, so joiners and leavers are handled where you already handle them. Nothing is shared with another firm at any layer.
Everyone gets an account, not a pilot group of partners. Work only comes back inside the firm if the sanctioned tool is the easiest thing on the desk, and it is only the easiest thing if the whole firm has it.
Hosting it, keeping it fast, upgrading it, securing it, watching it and maintaining it are all ours. You do not hire an AI team to get any of it, which is most of the point.
Runvo is a small, experienced team of infrastructure and machine learning engineers. Most of us have kept something big and fast running in previous jobs, and have the scars to show for it.
Runvo is new. There are no client names, logos or case numbers anywhere on this site because there are no customers yet. A company at this stage has one asset, which is that everything it says can be checked. When there are customers, they will appear here with their permission and not before.
We hire for judgement over credentials, and we value a team built from different backgrounds because the alternative makes us worse at the job. We provide equal opportunities regardless of age, race, gender, sexual orientation, gender identity, disability, neurodiversity or any other protected status.
Tell us how many people the firm has and what your client contracts already say about AI. We will tell you whether this is the right thing for you, including when it is not.
Tell us the size of the firm and what your client contracts require.