Your models
Qwen 3.8 with a 320K context window on dedicated servers — your models, on your hardware.
ccsio.aiEnterprise AI control plane
One AI control layer. Your models. Your data. Your knowledge. Your region. Your control.
Your models, your data and your knowledge run in your region, under your control — prompts and outputs are not stored by default and never used to train shared models; your knowledge and memory persist, encrypted and isolated to your organization.
Building AI in the enterprise is a control problem
Public AI platforms take your context and trade it for access. When your models, data and 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 the enterprise AI control plane: managed open-weight models, persistent Brain knowledge and Memory, explicit verifiable controls — on dedicated, region-pinned infrastructure. Sovereignty becomes an architecture decision, not a promise.
The control plane, end to end
One path from your users and agents to the model that answers — routing, governance, knowledge and residency in a single plane, pinned to your region.
Users, applications and agents
People, products and AI agents call the platform over an OpenAI-compatible API — no new SDK required.
Region-pinned endpoint
Your market endpoint names the region it runs in; identity checks, routing and guardrails apply here:
https://api.eu.ccsio.ai/v1Governance, knowledge and memory
Model access, Brain, Memory and usage controls apply under your organization policy — by architecture, not by checkbox.
Tools and residency
MCP tools and connectors will run under the same control — and every layer above stays within your region.
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
Prompts and outputs are not stored by default and never used to train shared or third-party models.
Your knowledge
Brain and persistent Memory are coming to the platform (roadmap V2): organizational knowledge and contextual memory, encrypted and isolated to your organization.
Your region
Residency in EU, USA or LATAM. Your workloads run in the region you choose.
What ships with the control plane
AI Router
One API routes to LLM, vision, embedding and speech models — managed by ccsio.ai.
Brain
Your knowledge layer: ingest sources and get governed retrieval for models and agents.
Memory
Persistent memory, encrypted and isolated to your organization on every plan (roadmap V2).
Knowledge Index
Chunks and embeddings are built from your sources, indexed for fast, auditable retrieval.
Guardrails
Prompt and injection detection plus policy checks will run on every request.
MCP and Tools
Connect tools and data sources with Model Context Protocol connectors (coming soon).
Agents
Compose models, knowledge, memory and tools into governed, auditable agents (coming soon, roadmap V2).
Usage and FinOps
Token and cost usage, metered per model, plan and key — billed transparently (coming soon).
Observability and Audit
Logs and audit trails of what ran, where it ran and who allowed it (coming soon).
Your knowledge and memory, on the platform
Bring the sources your AI must know, and keep the context it should remember — both governed like the rest of the control plane.
Brain: your knowledge base
When you connect your data sources, Brain ingests them — documents, structured data and internal references — encrypted and isolated to your organization.
Knowledge Index: retrieval that scales
Every source is chunked and embedded into a knowledge index, so models and agents retrieve the exact context they need — fast and auditable.
Memory: context that persists
Persistent memory keeps context across requests under the retention and access policies of your organization (roadmap V2).
Knowledge Intelligence
Store less, understand more.
Classify, summarize, deduplicate, relate and detect contradictions across your organizational knowledge. Knowledge candidates remain subject to organizational policy and human review before becoming authoritative Brain knowledge.
- Classify
- Summarize
- Deduplicate
- Relate
- Detect contradictions
- Review
- Evolve knowledge
Candidates and suggestions only: a discovery never becomes official knowledge on its own. Brain and Memory stay separate capabilities.
Governance you can audit, tools you can control
The control plane is only as trustworthy as its controls — these are live, per request, and logged.
Identity and access
Every request authenticates against your organization: keys, roles and scopes decide what each caller can reach.
Guardrails on every call
Prompt and injection detection plus policy checks run on each request, before models or tools act.
Governed AI by design
Decisions combine policy, risk and intent, with the reasoning kept for review instead of hidden in a black box.
MCP tools, controlled
Connect external tools through the Model Context Protocol; each connector is authorized, scoped and revocable.
Agents that stay on leash
Agents compose models, knowledge and tools under the same policies, and every action stays traceable.
Costs you can predict, calls you can prove
Every request is metered and recorded, so usage stays a number you can explain — never a mystery invoice.
Usage and FinOps
Usage is metered per request and per model, allocated to your organization, plan and key, and reconciled against what you are billed.
Observability and Audit
Requests, model calls and tool actions are logged with the caller, scope and outcome, and kept within your region under your retention policy.
Custom models and training
V4 — PlannedBuild from an open model, specialize a domain model or design a model from scratch. ccsio.ai plans to support dataset preparation, training, evaluation, optimization and managed deployment through the same governed control plane.
Your model, your region
Custom models are planned to run on the dedicated infrastructure of your region, under the same identity, guardrails and routing controls as every plan.
Your training data stays yours
Customer data is never shared across customers and never used to train shared or third-party models — custom training follows those same rules, in your region.
Sovereign by region
Pick the region your data must stay in. Your models, data and knowledge follow it.
- EU (active region), operated from Germany. Regional endpoint https://api.eu.ccsio.ai/v1.
- USA, operated from USA. Regional endpoint https://api.us.ccsio.ai/v1.
- LATAM, operated from Colombia. Regional endpoint https://api.latam.ccsio.ai/v1.
CCSIO.AI regional layer (endpoints)Countries operating the service: Germany, USA and Colombia
Security, governance and sovereignty
- Prompts and outputs are not stored by default
- Data is never shared across customers or used to train shared or third-party models
- Region-pinned residency with per-region endpoints
- 99.999% uptime SLA on the inference plane
Models that ship now
Qwen 3.8 (320K context), Gemma 4 (256K) and Whisper in every plan today; GLM 5.3 and DeepSeek 4.1 come late Q4 2026.
Qwen 3.8
Available nowOpen-weight model available now, with a 320K context window.
Prompts and outputs are not stored by default. Knowledge or Memory data that your organization intentionally persists is encrypted, pinned to the selected region, isolated to authorized organizational scopes, and never used to train shared or third-party models.
- Context window: 320K
- Region-pinned, dedicated infrastructure
- EU
- USA
- LATAM
Gemma 4
Available nowOpen-weight model available now, with a 256K context window.
Prompts and outputs are not stored by default. Knowledge or Memory data that your organization intentionally persists is encrypted, pinned to the selected region, isolated to authorized organizational scopes, and never used to train shared or third-party models.
- Context window: 256K
- EU
- USA
- LATAM
DeepSeek 4.1
Coming soonAnnounced for late Q4 2026; access opens through the waitlist.
- EU
- USA
- LATAM
GLM 5.3
Coming soonAnnounced for late Q4 2026; access opens through the waitlist.
- EU
- USA
- LATAM
Frequently asked questions
What is an Enterprise AI Control Plane?
It is the organizational layer that governs identity, guardrails, knowledge, context, tools, models and regional AI in one API endpoint. You manage prompts, permissions and policies instead of wiring systems together by hand.
What is sovereign AI infrastructure?
It is AI infrastructure whose endpoints, data residency, encryption and governance are operated inside your market. ccsio.ai runs the EU market from Germany, the USA market from the United States and the LATAM market from Colombia.
Where does ccsio.ai store my data?
In the market where you operate. ccsio.ai runs three endpoints: EU from Germany, USA from the United States and LATAM from Colombia, each with regional data residency. Persistent storage is encrypted at rest and organizationally isolated.
Does ccsio.ai store prompts and responses?
Not by default. Inference inputs and outputs are transient and are not stored when you only run inference. If you use Brain or Memory, what you choose to store is written to your persistent, encrypted and organizationally isolated storage.
Does ccsio.ai use customer data to train AI models?
No. ccsio.ai does not train shared or third-party models with your prompts or knowledge. It uses your prompts, Brain knowledge and Memory only for inference and retrieval inside your organization.
How does ccsio.ai protect persistent company knowledge?
When Brain is live (roadmap V2), it stores your persistent knowledge encrypted at rest, isolated per organization. Knowledge Intelligence proposes candidates through the classify, summarize, deduplicate, relate and contradiction-detection cycle; human review and organizational policy decide what becomes authoritative.
What is the difference between Brain and Memory?
Brain is your persistent, versioned organizational knowledge index (10 to 50 GB per plan) and Memory is context attached to users, agents or tasks — persistent per user or agent, or session-scoped. They are separate capabilities with separate budgets, both arriving on roadmap V2.
What is enterprise RAG?
Retrieval over knowledge: the system retrieves the specific chunks from your authorized sources, respects access control, adds citations and applies guardrails on every query. It is not a pre-indexed, global knowledge base.
Can ccsio.ai connect to enterprise data sources?
Yes, by design: you connect your sources through MCP servers and your own tools, with retrieval over your knowledge, access control, citations and per-source guardrails (availability is coming soon).
Can ccsio.ai run AI models in Europe?
Yes. The EU market is served by the EU endpoint, operated from Germany, with EU data residency, EU isolation and the EU plan line.
Can ccsio.ai run AI models in Germany?
Yes. The EU market is operated from Germany, ccsio.ai's EU operating location, on dedicated infrastructure under the platform's governance. That is where EU inference runs, and where knowledge and Memory will run.
Can ccsio.ai run AI models in the United States?
Yes. The USA market is served by the USA endpoint, operated from the United States, with persistence resident in the United States and its own isolation boundary.
Can ccsio.ai run AI models in Latin America?
Yes. The LATAM market is served by the LATAM endpoint, operated from Colombia, ccsio.ai's LATAM operating location, with LATAM data residency.
What AI models does ccsio.ai support?
Today: gpt-5.6-terra (OpenAI), Llama 4.1 (Mistral), Qwen 3.8 and Gemma 4 in the open-weight tier, all up to 320K context, plus Gemma 4 at 256K. DeepSeek 4.1 and GLM 5.3 are planned for late Q4 2026.
Is ccsio.ai compatible with the OpenAI API?
Yes. The v1 API on EU, USA and LATAM endpoints speaks the same request and response schema as the OpenAI API, so existing OpenAI clients can point at your regional endpoint with the same key format.
Can I use multiple AI models through one API?
Yes. One endpoint serves the full model fleet. You select the model per call, while guardrails, knowledge, Memory and routing stay under one API key and one governance control plane.
What are AI Guardrails?
The policy layer that decides what each request may do: identity and access checks, content safety, data classification, regional rules and output controls applied before and after every model call.
Does ccsio.ai support MCP and enterprise tools?
Yes, by design: your own enterprise tools plug into the platform as tools with the same identity, guardrails and routing as native capabilities (availability is coming soon).
Can I build AI agents with ccsio.ai?
The agent runtime will compose models, knowledge, Memory and MCP tools into governed agents, and multi-agent orchestration will compose several of them under one policy. It is coming soon (roadmap V2).
Can ccsio.ai train a custom AI model?
Not today. Custom models and training are the planned V4 scope: build from an open model, specialize a domain model or design one from scratch. No date commitments for it.
Can ccsio.ai fine-tune an open model with my data?
Fine-tuning open models on customer data belongs to the planned V4 scope, which also covers dataset preparation, evaluation, optimization and managed deployment; V2 and V3 do not run customer training today.
Can ccsio.ai deploy models on dedicated infrastructure?
Yes. ccsio.ai runs on dedicated infrastructure in its operating locations and operates the EU market from Germany, the USA market from the United States and the LATAM market from Colombia on that infrastructure.
How does ccsio.ai isolate data between organizations?
Every organization is a separate isolation boundary across identity, guardrails, knowledge, memory and billing. No organization can read or reference another organization's prompts, Brain knowledge or Memory content.
Start with control
Create your account, pick your market, and make your first API call.