Give your teams a ChatGPT grade AI platform that runs inside a cloud environment your organization can inspect, govern, and audit. Every frontier model. None of the black box.
No training on your data
Customer managed keys
We cannot decrypt. Only you can.
Pilot in 72 hours
Every enterprise has a mandate to adopt generative AI. Far fewer are willing to route source code, contracts, customer data, and strategy through an API they do not operate, on servers they cannot inspect, run by a company that could one day compete with them.
Where does our data actually go once it leaves the network, and who on the other side can see it?
What stops our model vendor from becoming our competitor, or simply changing the deal we built on?
We cannot secure, audit, or explain what we cannot inspect. That is not a governance policy.
The real question every enterprise is asking: what are we required to trust, and what can we independently control?
Your Cloud deploys a complete, managed AI platform inside a cloud environment you can inspect and govern, on AWS, Google Cloud, or another approved environment. We run it. You hold the visibility and the keys.
A dedicated, customer-visible environment with direct console visibility and inspectable network, compute, storage, identity, and logging.
Self-host frontier open-weight models and swap them as the field moves, without rebuilding your governance, integrations, or workflows.
A polished chat and coding workspace, or your own applications and agents connected directly to the platform API.
Every managed system requires some trust. The question is which responsibilities you delegate, which controls you retain, and how you verify the boundaries are respected. We map it across six control surfaces.
You determine which account and region hosts the system, what compute runs, what is public versus private, and whether resources are dedicated.
Our administrative access is identity-bound, time-limited, logged, and subject to your policy. You can review who can access the environment, and revoke it.
You define what data enters, where it is stored, and how long it is retained. Your data is processed only within the approved environment and is never used to train shared models.
Approve models, pin versions, choose self-hosted or externally accessed, and replace a model without disrupting the application layer.
We handle deployment, upgrades, monitoring, incident response, patching, backups, and capacity. You retain authority over the policies that govern it.
Export your data and configurations, revoke our access and keys, and know exactly what is portable and what remains after termination.
A growing roster of frontier open-weight models behind one consistent enterprise interface. As stronger models ship, you get access inside the same governed platform, with no re-architecture.
Because these models run self-hosted inside your boundary with no external inference traffic, you can put frontier open models to work that you would never be permitted to reach over their public APIs.
Open weights run inside your boundary, under your policy, on your schedule.
Adopt the best new model the week it lands, without renegotiating your stack.
Use the best model for coding, analysis, reasoning, documents, or agents.
Fully transparent, fully self-hosted, fully controlled by you.
Every approved model is available through a consistent API inside your environment, so your teams consume it however they work best. No lock-in to our interface either.
A polished chat and coding experience for employees who want a product that is ready to use on day one.
Point your existing applications, agent frameworks, and internal tools at the platform API.
Connect the agentic coding tools your engineers already use, including Claude Code, to models running inside your boundary.
Without the compromise either usually forces.
Engineering pulls it in. Security and the CIO bless it. Everyone gets what they need to say yes.
Give engineering access to advanced models through a consistent platform that evolves as the model ecosystem changes.
Define and inspect how models, data, identities, and networks interact, instead of relying solely on a provider's external controls.
Establish a durable enterprise AI platform without tying your organization to one model provider.
We stand up a working pilot instance inside a cloud environment you control, so your engineering and security teams can evaluate it on their own terms.