MetaCloud is the first persistent AI workspace step: 1 GB private space, a bridge token, Base Core access and structured continuity. Your model keeps its own weights; MetaCore gives it a working method, state and a path to AI Persona, Domain specialization, simulation and execution. Business deployment remains a separate START / TEAM / Enterprise path.
Not just storage. It is the first room where your AI work can continue across authorized sessions: private state, files, outputs and handoffs, with Base Core as the shared read-only method/reference layer.
When the need is no longer one person or one workspace, deploy an AI working system: operators, company context, expert roles, integrations, Scoped Authority and measured DELTA.
Start with your MetaCore identity and context, then activate MetaCloud when you need persistent state, files and supported AI/MCP continuity. Service credits remain a payment/usage layer under the product, not the product itself.
The same MetaCore OS architecture at three deployment levels. We start from real company processes, integrate the context layer, train internal operators and measure the change over six months.
The AI model is the intelligence engine. MetaCore OS provides the operational and contextual matrix — roles, rules, process logic and decision structure. MetaCloud preserves the working state — memory, documents, validated context and continuity across sessions.
Best fit for companies that already use AI tools or agents but still lack one controlled context, process and agent-orchestration layer.
A controlled first deployment for a company that wants one trained internal AI operator and the same MetaCore architecture at a smaller scope.
A broader company transformation: persistent shared context, trained internal operators and a coordinated AI expert team working across company functions.
For manufacturing, robotics, engineering and multi-department organizations that need one AI working and control layer above the existing technology stack, with deeper API/MCP and infrastructure integrations.
Indicative value of the current TEAM scope if its layers were delivered separately. In the deployment, these layers are connected into one working system; this is a scope/value comparison, not a historical sale price.
START and TEAM retain the company data, documents, process structures, instructions and company-specific knowledge layer created during deployment. MetaCloud serves as the persistent state layer that keeps this working context available across sessions. MetaCore platform core and generic modules remain MetaCore IP. After the transformation period, the required continuity plan follows the deployment path: START → Codex 50 GB at 5,200 KR/month (€520/month); TEAM → Quantum 150 GB from 9,999 KR/month (€999/month). Additional support, new modules and deeper integrations are optional.
Before deployment we agree 3–5 DELTA KPIs: time saved, repeated work, decision-cycle time, context loss, adoption or workflow outcome. Baseline → MetaCore → DELTA. We do not promise generic percentage gains without measured evidence.
For START, TEAM and Enterprise / Industrial deployment. The selected package and source stay attached so we can assess scope, operators, integrations and DELTA.
START / TEAM / Enterprise
Describe 2–3 workflows worth improving
Agree baseline, operators and integration depth
You can change the package below if needed. Private MetaCloud users do not need this form.