How it works
Desktop app for the team. Local connector for existing tools. Server for the organisation. Intelligence builds at every layer, privacy preserved at every boundary.

Layer 1
Desktop application. Runs on every machine.
Spawn a team of specialised agents, each with its own model, tools, and permissions. A conductor agent organises tasks and keeps consistency during execution. Every agent provides specific capabilities: document ingestion, data analysis, compliance checks, content generation.
The Studio manages projects, conversations, plans, tickets, memos, and artifacts in one place. PII detection and data masking run on all outbound traffic before anything reaches an AI vendor.
Layer 2
Local connector. Bridges existing AI tools into one control point.
A lightweight process running on the local machine that connects third-party AI applications, code editors, document review tools, and anything that speaks MCP. Every connected tool routes through the Hive, sharing knowledge, tasks, and access to the same coordination tools.
PII detection and data masking apply to all traffic between connected tools and external AI providers. Tools with no built-in data protection get protection by default, because they route through the Hive.
Layer 3
Server. Runs in private infrastructure or Swarmix-hosted.
The Orchestrator keeps everything lined up across teams and locations. Projects, plans, knowledge, conversations, agent management, deployment policies, SSO, and SCIM. Every decision is recorded with full provenance. Every action has an audit trail.
Plugin system for extensibility. OpenTelemetry for observability. Self-hosted, cloud-hosted, or hybrid. Full infrastructure control.
Intelligence
Intelligence flows upward only when it adds value, and only after privacy transformations at each boundary. The individual never pushes raw data to the organisation. The organisation pulls statistical patterns from the pseudonymised layer.
Patterns, trends, strategic insights. No individual data.
Usage patterns, topic clusters. Identity removed, k-anonymity enforced.
All conversations, all data. Private to the individual, on the local machine.
Most enterprise AI platforms centralise everything first and try to add privacy later. Swarmix starts private and reveals only what is needed, at the granularity that is appropriate.
A walkthrough of unified visibility, governance, and intelligence across every AI vendor and team.