See · Govern · Own
Swarmix is the governance and insight layer that persists across vendors, models, and infrastructure changes. Your processes, knowledge, and audit trails stay with you.
Why Swarmix exists
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.
One platform · Two surfaces
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.
Multi-repo coordination with built-in accountability.
Structured conversations with governance. Plans with gates. Knowledge that persists across repos and sessions. Accountability built into every decision.
A local-first environment for developer-AI collaboration.
A safe environment between your people and the model. Local execution. Vendor independence. Behavioural data your company owns.
Interaction intelligence
Your Anthropic console shows Claude usage. OpenAI shows GPT. Google shows Gemini. Three dashboards, three partial views, zero cross-vendor intelligence about how your organisation actually uses AI.
Swarmix sits at the coordination layer — not the model layer. It captures interaction data across every vendor, every model, and every team. One unified view of cost, adoption, risk, and effectiveness.
Captured locally, owned by you. Not vendor telemetry — 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.
Interaction analytics
Each AI vendor only sees usage of their own model. Swarmix sits across all of them — capturing the full picture of how your organisation uses AI across every vendor, every model, and every team.
Aggregated from individual (private) to company-wide (strategic), with k-anonymity privacy guarantees at every level. Cost, adoption, governance, effectiveness, and model optimisation — all from data you already generate.
See the six pillars of value →Market reality
Current industry data on vendor lock-in, shadow AI, and governance gaps.
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