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batoon.ai

Set the goal. batoon runs it everywhere.

batoon is the vendor-neutral operating system for agentic marketing. You set one measurable goal. A team of AI agents works across your whole stack, and every action stays within your brand, your budget and your approvals.

This is what a goal looks like
500 trial signups in four weeks, €25k cap.

The problem

Agentic marketing fails on control, not on AI.

Every system in your stack is getting its own AI agents. But each one works inside its own silo. The agent in your email tool knows neither your ads budget nor your call centre. Nobody owns the whole picture.

21 %

of companies have a mature governance model. 74 % still plan to deploy agents by 2027.

Deloitte

> 40 %

of agentic AI projects will be abandoned by the end of 2027.

Gartner

15,384

MarTech tools on the market, two thirds of them unused. Of roughly 50 Fortune 500 CMOs surveyed, not one could quantify the ROI of their stack.

chiefmartec 2025, McKinsey

The layer in between

Set a goal. batoon runs it across your stack.

batoon sits between the AI models and your MarTech stack. It stays independent of both sides. You can swap either end without losing control.

AI models replaceable

Anthropic · OpenAI · Google · Mistral · open weights

batoon.ai

  • Policy gate
  • Approvals
  • Audit trail
  • Conflict resolution
  • Impact measurement
Your MarTech stack replaceable

CRM · CDP · email · ads · CMS · analytics · creative · call centre

Everything connects through the open MCP standard. Your company knowledge and configuration stay with you as version-controlled YAML and Markdown. Company as code, no data lock-in.

Four promises

Control you can verify.

01 in code, not in the prompt

Check every action before it runs

The policy gate checks budget caps, frequency caps, forbidden claims, consent, suppression lists and risk classes. Each agent may only touch what belongs to its own task. Every verdict comes with a reason: allow, flag, escalate or deny. A brand judge also checks against your brand guide, and it can only tighten a verdict.

02 enforced server-side

Route approvals by role

Four situations pause a run. Plan approval, an escalation, a conflict and variant sign-off. Who may decide follows from role, risk and budget size. Who actually decided is read from the session, not from the browser.

03 why this decision

Back every decision with evidence

The audit trail is append-only per run. It records every action, every verdict, every human decision and every model call with its cost. Anything that changes something carries a checked rationale with numbered evidence. An argument without evidence halts the run.

04 customer boundary

Measure impact across every channel

Your control group stays clean in email, in ads and in the call centre. No single vendor can promise you that, because none of them sees the other channels. And it is calculated without a single contact ID ever reaching batoon.

Why now

Four curves cross in 2026.

  1. 01

    Agents reach scale

    Gartner expects a third of all enterprise applications to include agentic AI by 2028.

  2. 02

    Every system opens up

    The open MCP standard sees roughly 97 million SDK downloads per month. HubSpot, Adobe and Salesforce ship their own servers.

  3. 03

    Governance decides the purchase

    Only 21 % of companies have a mature governance model. 74 % still plan to deploy by 2027 (Deloitte).

  4. 04

    Traceability becomes mandatory

    Since August 2026 the EU AI Act requires AI decisions to be evidenced. In regulated industries that decides whether a project starts at all.

The bottleneck is moving from integration to orchestration and governance.

Where batoon stands

We show you the instrument, not a top grade.

batoon measures itself repeatably against a catalogue of 94 enterprise capabilities, eight layers and 13 industry scenarios. This is where it stands in August 2026.

51.2 %

Capability coverage. 471 of 920 points, 2 of 13 scenarios feasible today

By layer

  • Human–agent interaction 65 %
  • Orchestration & governance 64 %
  • Measurement 41 %
  • Distribution 39 %
  • Data layer 33 %

The strengths sit where the product promise sits. The 18 critical gaps are named and prioritised.

What is built

3
scenarios end to end in a curated simulated world
5
real MarTech systems connected, read-and-draft only
~45,000
lines of code in Python and TypeScript
~2,900
test functions
59
documented iterations in under 8 weeks
1
founder, built solo

What batoon cannot do

  • No live execution. The five connected systems run read-and-draft. Nothing is sent, no campaign launches.
  • No paying customers. We are looking for our first design partners.
  • The three scenarios run in a curated simulated world, not on real customer data.
  • We set the assessment ourselves. External review is still open.
The full status

What we are looking for

Two things.

Two to three design partners

Mid-size and large enterprises with a real marketing stack, ideally in a regulated industry. Paid pilots where you help shape the product.

Pre-seed, around €400,000

As a convertible loan, funding the validation phase and the first hires. The founder holds more than 75 % after the first round.

For investors

Contact

Write to me.

Straight to the founder. No form, no layer in between.

What belongs in the first email

Your industry, which systems sit in your stack, and when you want to introduce agentic marketing. That is all a first conversation needs.