Automata

Marketing teams lose reach when customer data has to leave their infrastructure to reach a SaaS tool. Automata removes that constraint: it is our AI-first marketing automation platform, fully self-hosted, so segmentation, orchestration and behavioral tracking all run on hardware you control.

Why teams choose Automata

SaaS marketing tools charge per seat, hold your customer data, and lock you into their model of what a good campaign looks like. Automata inverts that. Your engagement data never leaves your infrastructure, your costs stay flat as the team grows, and the platform learns from your audience rather than from an aggregated third-party dataset. For regulated industries, and for teams that treat data as a core asset, that is the difference between a tool and a platform they own.

Capabilities

• AI-driven campaigns — the platform plans and adapts campaigns from your own engagement data, not a third-party model.
• Multi-tenant by design — built in Go with customer workspaces isolated end to end, so agencies and platforms can run many clients on one deployment.
• Low-overhead tracking — reverse-proxy logic enriches traffic on the way to your application and captures engagement signals without extra hops or client-side bloat.
• Simple operations — a single Docker container or a Helm chart, with no external dependencies and no per-seat licensing.

How it works

Engagement tracking sits in front of your application as a reverse proxy: visitor behavior is enriched as traffic passes through and stored in the same deployment that runs your campaigns. The automation engine reads those signals to segment audiences, select the right message for the right moment, and adjust campaigns as results come in — a continuous plan, measure, adapt loop that runs entirely inside your infrastructure.

Deployment and operations

Automata ships as a single Go binary: run it as one Docker container, or deploy the Helm chart to a Kubernetes cluster. There is no external database, queue, or SaaS dependency, and no per-seat pricing to model. Operations teams get one service to monitor, upgrade, and back up — the same standard they already apply to the rest of their stack.

Teams that want AI-driven marketing without giving up control of their data are welcome to talk to us about a deployment on their own infrastructure.