Put AI agents to workacross your business.

Software with a defined role, the knowledge it needs, the tools it may use, and rules for when it acts alone and when a person approves. It reads what arrives, does the job, and prepares or takes the action. A chatbot answers questions. An agent gets work done.

Roles across sales, support, marketing, operations, finance, research and management: triage, drafting, research, monitoring, reporting, and the workflows that join them. If the job has clear inputs, repeatable decisions, accessible tools or data and a defined outcome, we build an agent around it. The agent library shows the shapes we start from.

Yes. That is what the AI Operating System is: specialist agents sharing one body of company knowledge, one set of live data and one approval layer, with an orchestrator directing the work where the operation needs it. The demo runs exactly that.

No. A dashboard is the control layer, one part of the system, and only worth building when nothing you have does the job. Many builds are agents and workflows around what you already run.

Yes. If you have a strong interface or data layer, we build the agents, workflows and integrations to feed it and to take direction from it. If it needs an approvals view it does not have, we add that.

If the required access and endpoints are available, yes, with credentials scoped to what the agent needs. We verify that before scope is locked. The stack we have built against directly is on this page, and another 101 tools have documented public APIs. Where the access is not there, we tell you on the first call.

As autonomous as you decide, per action. Routine, low-risk work can run on standing approval. Anything that touches customers or money stops at a gate with your name on it: you see the draft and its context before it moves.

You own the delivered system outright: code, credentials, documentation, runbooks. It runs in your environment, on accounts that were yours from day one. We keep rights only to generic, reusable building blocks and the know-how, never to your data, your configuration or the system itself. If you want ongoing optimisation there is a monthly retainer; if not, it keeps running.

Every build is scoped and priced after the first call, because the agents, workflows and integrations involved differ from business to business. The number is anchored to what this work is already costing you: a hire you were about to make, a team's week going on repeating work, a stack of tools renewing for another year, or an agency retainer that never compounds. What moves it: how much of the operation is involved, how many systems, how strange the edge cases, and how much is genuinely new. The first call is free, and you get the verdict whether or not you build with us.

Thirty minutes on your real operation with the person who would build the system. We map where the work piles up, work out what shape fits, from one agent to a full operating system, and tell you straight if nothing does. No technical preparation needed. You leave with a verdict: build, wait, or not a fit.

Yes, and you do not have to ask. The demo is the platform Maarten built for his own stores, open to anyone at demo.vulc.ai on sample data: an orchestrator, six specialist agents, six integrations live, approval gates on every write, and an operating dashboard on top. Click any screen, run the profit audit, break whatever you like. It resets itself.

That is set on the first call along with the scope. You get a fixed timeline before the build starts, and you see progress in working software rather than status updates.

Vulc is founder-led by Maarten, and every build is led directly by him: around four years operating online businesses and a full AI operating platform built and run in production. You work with the founder from the first call to the handover.

Monitoring, tuning and extending your system: new edge cases, new integrations, model updates. Light by design, and optional. It exists to improve the system, not to rent it back to you.