The Multi-LLM Router is live.
Not one model for everything — but the right model for each purpose. The router decouples your workspaces from individual providers: routing by use case, data class, role, cost limit, and quality, including fallback.
Model landscapes change on a quarterly basis. Anyone who ties their AI applications firmly to a single provider pays twice: with every price change and with every generation shift. The Multi-LLM Router solves exactly this dependency — as a central decision layer between your workspaces and the models.
What changes concretely
Model changes without rebuilding
New model generations become usable immediately — your workspaces, roles, and data spaces remain unchanged. No re-ingest, no migration.
More on the architecture →Private & Public LLMs side by side
Sensitive data spaces run via private models, open content via high-performance public LLMs — controlled through a single routing rule.
Trust by Design →Every routing decision is logged in a traceable way: which use case maps to which model can be audited at any time — a prerequisite for regulated industries and for reliable cost control.
Not everything at once.
But the right thing quickly.
1 plug-in → 1 workspace → 1 pilot group → 1 measurable proof of value.
90-day playbookWould you like to see the router in your own use case? We will set up your test environment within five working days.
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