The business gets better without changing anything.
Every model release lands across the whole platform the week it ships: Studios, Sheets, agents, workflows. The labs do the model work; the platform turns it into finished work in your systems.
Trust · Athena Governance System · Models
Route across 60+ models with zero vendor lock-in
Enterprise model gateway that picks the best model for exploration, the cheapest for execution, and falls over when providers fail.
60+ models in production. Zero data retention agreements with every provider. Zero training on your data.
- 60+ models in production
- Worked with 100+
- zero data retention (ZDR) agreements with every provider
- No training on your data
- Cross-provider fallback
- BYO keys
- In-boundary open-source
The problem
Model agreements lock you in
Enterprises signed enterprise agreements with one lab and discovered the hard part was everything around the model: connecting to systems, respecting permissions, producing finished work, attributing changes, and swapping the model when a better or cheaper one shipped three weeks later.
Vendor lock-in at the model layer is the most expensive kind. Prices fall monthly; capabilities jump quarterly.
The model is a component. Buy the harness.
How it works
Route. Fall over. Swap. Pass through.
Route. For each task, the platform picks the model: best available for exploration and planning, the most economical that meets the fidelity threshold for known, repeated work.
Fall over. Provider outage? Configured fallbacks take the call. Your Monday packet does not care which lab had a bad morning.
Swap. New model ships; it is available the same day. Pin a model if you need to; change it in one place.
Pass through. Bring your own keys and existing credits. Or run open-source models inside your VPC or air-gapped environment so no call leaves the boundary.
What model-agnostic means in practice
Cheapest model that hits fidelity.
Repeated procedures do not need the most expensive model. Some do not need a model at all; a repeated workflow may run as a traditional pipeline once the pattern is codified.
Zero data retention, every provider.
ZDR agreements with every model provider. No training on customer data. The compliance packet lists each provider's terms.
Inside the boundary.
Open-source models running in your VPC or air-gapped environment. A global professional services firm runs the platform with no egress.
Bring your own keys.
Route existing OpenAI, Anthropic, or Google credits through the platform. Consolidate spend; keep the governance.
A partner, not just a provider.
We work closely with Anthropic, and the platform routes to other model providers when a task calls for it.
What customers say
“Everything in Athena, it basically is you choose which weapon you wanna use.”
“You want a Cadillac, do you want a Buick? Or do you want the Chevy?”
“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.”
“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.”
“It was PowerPoint... there was no kind of distinction between the two. So that was killer. And I literally had a meeting on it today, and people said how great it was.”
Verbatim from customer calls. Customers anonymized.
Governance
Governance, stated plainly
ZDR with every provider; no training on customer data.
Per-user, per-agent, per-project token cost; hard budgets per run.
Model choice pinned or routed; every output records which model produced it.
In-boundary options for zero-egress deployments.
What to plan for
"60+ models" is what is in production today. We have worked with more than a hundred; we publish the smaller number and update it when it changes.
FAQ
Which AI models does Athena use?
A wide range of leading models. You choose which providers are enabled.
Are we locked into one provider?
No. You can switch or mix models without rebuilding anything.
Is our data used for training?
No.
The rest of the platform