Your models
Qwen 3.8 with a 320K context window on dedicated servers — the models you need, on hardware allocated to you.
ccsio.aiEnterprise AI control plane
One AI control layer. Your models. Your data. Your knowledge. Your region. Your control.
A private AI inference platform: your models, your data and your knowledge run in your region, under your control — nothing is stored, shared or used for training.
Building AI in the enterprise is a control problem
Public AI platforms take your context and trade it for access. When your models, your data and your knowledge are bound to a region, and your customers ask where their data lives, that trade does not hold.
A control layer that makes the answer yours
ccsio.ai is a private AI control layer for the enterprise: dedicated inference, region-pinned residency, and explicit, verifiable controls. Sovereignty becomes an architecture decision, not a promise.
How inference flows
One path, from your application to the model that runs it — and nothing leaves your region.
Your application
Your products call the platform over an OpenAI-compatible API — no new SDK required.
Region-pinned endpoint
The call enters your market endpoint, which names the region it runs in:
https://api.us.ccsio.ai/v1Governance
No storage, no sharing, no training on your data — written into the architecture, not into a checkbox.
Managed model fleet
Available nowOpen-weight Qwen 3.8 on dedicated, region-pinned infrastructure.
Future availabilityExternal frontier models may join later; until then they are not processed and are labeled as such.
Four controls you can verify
Your data
No storage, no sharing, no training on your data. The guarantee is the architecture, not a checkbox.
Your knowledge
Memory — the context your models work with, private and region-pinned — arrives with V2, which is in development. The first three are live and verifiable today.
Your region
Residency in EU, USA or LATAM. Your workloads run in the region you choose.
Sovereign by region
Pick the region your data must stay in. Your models, your data and your knowledge follow it.
Security, governance and sovereignty
- Your prompts and outputs are not stored
- Your data is never shared or used to train models
- Region-pinned residency with per-region endpoints
- 99.999% uptime SLA on the inference plane
Models that ship now
Qwen 3.8 with a 320K context window runs today on dedicated servers. Gemma 4 and GLM 5.3 are next on the roadmap.
Qwen 3.8
Available nowOpen-weight model available now, with a 320K context window.
- Context window: 320K
- Region-pinned, dedicated infrastructure
- EU
- USA
- LATAM
Gemma 4
Coming soonNext on the model roadmap. When its availability opens, access begins through the waitlist.
- EU
- USA
- LATAM
GLM 5.3
Coming soonA further model on the ccsio.ai roadmap; the waitlist is the path to early access.
- EU
- USA
- LATAM
Frequently asked questions
What is available today?
V1: region-pinned private inference with Qwen 3.8 (320K context) in the EU, USA and LATAM markets, on dedicated servers, under the Starter, Business, Advanced and Enterprise plans.
Where does my data run?
In the market you choose. The endpoint names the region, and your workloads are pinned to it.
What happens to my prompts and outputs?
Nothing is stored, shared or used for training. The guarantee is the architecture, verified per market.
What is coming next?
V2 — knowledge, memory and connection — is in development. V3 — your models and your agents — is planned. No date commitments.
How do I get started?
Join the waitlist for an account in your region. Your first private inference call is a POST away once you are in.
Start with control
Join the waitlist and be first in line for an account in your region.