Managed cloud, your VPC, on-prem, air-gapped, or GovCloud—same product everywhere, with data residency per workspace and zero egress if you want it.
A global professional services firm has run Athena air-gapped in its own tenant for over a year with thousands of users across multiple countries and regions.
Many AI tools run only in the vendor's cloud, which makes the security review hard, and they often stop at a chat window. Building in-house takes forever and has to be rebuilt every time the stack changes. So regulated organizations often end up with a narrow tool that could get approved, and a dozen point solutions around it.
Sprawl is the problem. In-environment is the answer.
Choose the deployment. Managed cloud for speed. Your VPC on GCP, Azure, or AWS for control. On-prem, air-gapped, or GovCloud where policy requires. Feature parity across all of them.
Set residency. Region-bound storage per workspace. EU data stays in the EU. US data stays in the US.
Choose the models. 60+ models with zero-data-retention agreements; bring your own keys; or run open-source models inside the boundary so no call leaves.
Keep the permissions you have. Source-system permissions inherited per user in real time. Files stay where they live; the cache is TTL-only. If the permission service cannot be reached, the action does not run.
The audit suite runs inside the firm's own cloud tenant: zero egress, red-team-hardened roles, a restrictive computer mode, multi-region data residency. Over 1,000 users across multiple countries and regions. Production for over a year.
The retailer required deployment inside its own environment, and Athena passed those requirements.
No standing vendor credentials. Access is requested per incident, approved by you, time-bounded, and logged twice: by the platform and by your cluster.
End-of-engagement purge. Discovery-aware retention controls. Usage export. Twice-yearly hard delete is a configured policy at one professional-services customer.
Studios, Sheets, the Lakehouse, Computers, and the model gateway all run inside the boundary. An Office suite and a BI layer that never touch Microsoft.
“The performance, say, the kind of speed and latency on those APIs for creating assets, was better in [our private cloud] than it was in managed cloud.”
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
“Gave Athena the spreadsheet, explained which column I was trying to figure out, and then ten secs it told me... exactly how the calculation was based on the other data.”
“He wrote the entire stuff. By itself. And I was there, and I was thinking, alright. If I had to write all this stuff, I mean, I would've spent days, days, days.”
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
“One workspace. All different, let's say, avatars of their output data. Right? Suddenly, it's dashboard. Excel is here. PowerPoint is when it's all together. It's very impressive.”
“Use the Athena platform probably closer to the concept and how it was designed, like, with the spaces architecture where you've got a set of primitives and capabilities, and you bring together the right set of capabilities to solve a task.”
“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”
“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”
Verbatim from customer calls. Customers anonymized.
Our posture is not "don't put your data on us." It is that we are partnered with you: the platform runs where you say, with your permissions, and what you build is yours. Worse comes to worst, you walk away with the stack.
Deployment options with feature parity: managed cloud, VPC (GCP, Azure, AWS), on-prem, air-gapped, GovCloud.
Data residency per workspace. Zero-egress observability available.
60+ models, zero data retention with every provider, no training on your data, BYO keys, in-boundary open-source models.
Fail-closed permissions. JIT audited support access. Hard delete on your schedule.
Air-gapped means updates ship on your change window, not ours. You will trail managed cloud by however long your change window is.
Our cloud, your cloud, on-premises, or air-gapped, with the same platform everywhere.
Not when you deploy in your own environment.
There is no standing access. Every request is approved by you, time-bounded, and logged.
We will answer it, then show you the platform running inside a boundary like yours.