Swarmix is the governance and insight layer that persists across vendors, models, and infrastructure changes. Your processes, knowledge, and audit trails stay with you.
Build governance around Google's orchestrator, and it stays with Google. Same for Microsoft, Amazon, or any managed platform. Switch the model:
When your developers use Claude Desktop or Copilot, the interaction flows to the vendor. Your company never sees it. That interaction data is the clearest picture of how your workforce actually uses AI.
Agents move fast. Without structure, that speed compounds bad decisions, and when something breaks there's no trail to trace it back.
The Orchestrator gives structure to how agents coordinate. The Studio gives developers a safe environment to work with them. Both share the same governance, identity, and knowledge.
Every time your team prompts an AI — what they ask, how they iterate, what they accept and reject — that interaction data flows to the vendor. GitHub announced in April 2026 that Copilot interaction data will train their models by default.
Your company never sees any of it. And that interaction data is the clearest signal available: how your people actually work, where they struggle, what they need, and where AI creates real value.
Swarmix captures this layer locally, owned by you. Not as vendor telemetry, but as operational intelligence for your organisation.
See how your teams actually interact with AI. Which tasks get delegated, which get rejected, where human judgement is still essential.
Identify bottlenecks, repeated queries, and abandoned attempts. Your AI interaction data reveals where workflows break down.
Know what sensitive data enters AI tools, which decisions are delegated to models, and where policy gaps exist before they become audit findings.
Understand which models perform best for which tasks. Make infrastructure and vendor decisions based on your own data, not vendor benchmarks.
Current industry data on vendor lock-in, shadow AI, and governance gaps.
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