dispatchThe automation your operation actually runs on.
We embed with your team and build deterministic, agentic workflows wired into your real systems — on infrastructure you own. The platform handles the mechanics; the operational know-how is what we bring.
Engineers, deployed forward — building automation that ships and stays.
Off-the-shelf tools don't know your operation. We do the part that can't be bought off a shelf: designing the workflow, wiring the integrations, and getting deterministic automation into production where you can trust it.
Embed & map
We sit with your team, learn the operational reality, and pin down exactly which recurring work an agent should own — and where a human must stay in the loop.
Build deterministically
We assemble the workflow on an MCP-native engine: typed tools do the exact, repeatable work; agents handle judgment. Same inputs, same output — to the cent.
Deploy on your box
It runs on your own hardware, private to your network, with the outputs and data staying yours. We hand over something your team can run and extend.
A control plane built for operating real systems — not chatting about them.
Everything is an MCP tool, so agents and deterministic workflows call the same typed surface. The know-how is how we compose these into automation that holds up in production.
Deterministic DAG engine
Parallel branches, isolated failure, week-over-week state — a fixed path you can read top to bottom. The model is one node, never the driver.
Deterministic data ops
Transform, diff, merge, dedupe, dates, deltas, validation — the arithmetic and reshaping happen in code, so a weak local model never has to guess a number.
Human-gated action
Agents that operate real systems, with a hard approval gate on anything consequential — or run fully unattended when you decide the path is safe.
Typed MCP connectors
Your CRM, files, Slack, data utilities, and internal services — wired in as typed tools, not brittle scripts. New systems drop in the same way.
Recall & knowledge graph
Semantic recall plus a per-concept knowledge graph, so agents work from your accumulated context instead of starting cold every run.
Schedules & events
Cron and event triggers fire workflows on their own — the automation keeps running whether or not anyone's watching.
Deterministic, private, and yours — by construction.
Deterministic control
Correctness lives in tools, judgment in agents. Same inputs, same output — no runaway loops.
Zero marginal cost
Local models on your own box. No per-token bill — run a workflow weekly, daily, or hourly.
Private by network
Reachable only over your own tailnet — nothing exposed to the public internet, end-to-end encrypted.
Authored agentically
MCP-native, so workflows, agents and skills are built by describing them — in Claude Code, over the same surface they run on.
Human-gated
Every consequential action can wait for one tap of approval — or auto-run once you trust it.
Goes anywhere
GPU or none. Move to new hardware and your agents, history, and workflows come with you — no rebuild.
Real automation, running on a real box.
Weekly migration pipeline
Two deterministic reports posted to Slack every week — MCP tools compute every number, an agent writes the words, and it all runs unattended on the customer's own hardware.
› Use caseDormant pipeline revival
Every morning, one query per rep for their highest-value accounts with no logged activity — then a real browser checks each customer's site for whether the product is still installed.
› Use caseOutreach drafting
One pipeline starts because another finished — researching each account, grouping by contact so one person gets one email, and drafting the follow-ups. Each rep picks where it stops.
› Use caseOutreach logging from chat
One line in the channel reps already read, writing straight to the CRM — nine steps, zero model calls, 3.4 seconds. Identity from a signed request, scope from a keyed join, no screen to build.
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