PandaOS for Enterprise
Your teams work with AI in PandaOS every day. PandaOS for Enterprise comes with a governance layer: you decide which models, tools and permissions each team gets, and every rule applies the moment you publish it.
You cannot steer what you cannot see.
Each vendor sets its own retention and hosting.
None of them says what a team actually costs.
Nobody can enforce which AI may touch which data.
Personal accounts the company never sees.
Every employee gets one AI workspace. The company gets one place to shape it.
Publish skills, agents, rules and starters to the teams that need them. Mark a skill as required and it is in every chat from the next session on.
New projects begin with your conventions, your rules and your house style.
What your teams work out becomes shared knowledge, with every claim traced to its source.
Files, shell, browser, apps and MCP tools, each set to run automatically, read-only, ask first or blocked.
Every call goes through the PandaOS gateway. Each team sees the models you allowed and nothing else.
Monthly allowances per team and per member, enforced at the gateway. A member at the limit stops, rather than overspending and being invoiced later.
One place for your IT team. Every change is versioned and reaches every seat the moment you publish it.
One grid for the whole company. Lock a rule for everyone, or let a team go further where it needs to.
Bring your own keys for OpenAI, Anthropic, Azure OpenAI, Azure AI Foundry, Google Gemini, Google Vertex AI, Fireworks AI, Together AI or OpenRouter. Choose the models, pin them to tiers and decide which team may use which.
See spend by team, member and model. Set monthly allowances and raise them for one person where it makes sense.
Allow the servers you trust, block the rest, and decide tool by tool which actions need a human.
Invite people by email and assign seats and teams. Offboard someone in one step. Keys are revoked and the seat is freed.
Your IT team sets it up once. Your people keep working in the tool they already know.
Add your provider keys, invite your people and sort them into teams.
Choose models, permissions and limits per team, and publish the skills and agents everyone should have.
No extra installs and no new tool to learn. The rules are already in place, and every later change reaches everyone automatically.
The questions your IT, data protection officer and works council will ask, answered up front.
Mark every model by where it runs, and keep a team or the whole company on models hosted inside the EU.
Switch on per team: credentials are blocked and personal data is redacted before a prompt leaves the machine.
Every policy is versioned. Compare any two versions and roll back in one click.
When someone leaves, one step is enough. Keys are revoked and the seat is freed.
Bring the provider accounts you already have. PandaOS never uses your data to train models. With your own keys, your provider agreement applies.
An agent works with the permissions of the person who starts it. What that person may not do, the agent may not do either.
Other tools sell governance on its own: a dashboard watching tools it does not control. PandaOS is the workspace the work happens in, with governance built in.
Policies apply in the workspace your teams already use every day. Nobody has to remember them, and nobody can route around them.
A skill, an agent or a starter written for one team reaches everyone who needs it, and improves for all of them.
Bring your keys for OpenAI, Anthropic, Azure OpenAI, Azure AI Foundry, Google Gemini, Google Vertex AI, Fireworks AI, Together AI or OpenRouter. You stay their customer, and PandaOS decides who may use what.
Tell us how many people and teams you have. We set up your organization together with you.
Model traffic runs through our gateway in Frankfurt. You choose which models each team may use, including models hosted only in the EU.
Yes. Add your own keys for OpenAI, Anthropic, Azure OpenAI, Azure AI Foundry, Google Gemini, Google Vertex AI, Fireworks AI, Together AI or OpenRouter, and PandaOS uses them under your policy.
Usage and spend per member, and which policy applied. Prompts and responses are not stored, so there is nothing to read back.
The same PandaOS, with only the models, tools and skills you approved. Where an action needs approval, they are asked directly in the chat.
As soon as you publish it. Every seat picks up the new version automatically.
Per seat, and each seat carries a PandaOS plan. Talk to us and we will put together an offer for your teams.
No. PandaOS never uses your data to train models. With your own keys, your provider agreement applies.