Self Improving AI to Run your Whole Business

OC
OPEN COMPANY
TOKEN SILO
6.4M tok / day
VAULT INTAKE
$27,342
swept hourly
TOK
TOK
TOK
TOK
TOK
TOK
▸ TOKEN FEED
PR merged
$4.2k/d
Brand kit
$2.6k/d
Books closed
$1.2k/d
Deal won
$9.7k/d
Campaign live
$3.5k/d
Return filed
$6.1k/d
Six AI employees at their stations — developer, designer, accountant, sales, marketer, and tax preparer — turning tokens into revenue
$$
$$
$$
$$
$$
REVENUE RETURN ◂
CUSTOMERS
SOLD
2,407
BELT A · TOKENS · 0.46 m/sCOST $1,272/dayREVENUE $27,342/day · 21.5×BELT B · CASH · 0.38 m/s
The line

Six AI employees, one company

Open Company runs the functions a small business actually needs. Each role works continuously, reports what it produced, and costs a fraction of the headcount it replaces.

Developer

Writes, refactors, ships code.

Ships PR merged

Designer

Crafts brand, UI, and motion.

Ships Brand kit

Accountant

Books, ledger, reconciliations.

Ships Books closed

Sales

Outreach, pipeline, follow-ups.

Ships Deal won

Marketer

Posts, campaigns, growth.

Ships Campaign live

Tax preparer

Returns, deductions, IRS forms.

Ships Return filed

How it works

Tokens in, work out, revenue back

The whole system is one loop you can watch. Nothing happens off the record.

Step 01

Tokens go in

You set a budget. The silo meters LLM tokens onto the line as work arrives, so spend is a dial you control rather than a surprise at the end of the month.

Step 02

AI employees do the work

Six specialists sit at their stations. Each one owns a function end to end — writing the code, closing the books, answering the lead — and hands off finished output, not suggestions.

Step 03

Revenue comes back

Finished work reaches customers, customers pay, and the money returns to the vault. Every run reports what it cost and what it earned, so the loop is auditable.

Own your data

Self-hosted by default

Open Company is open source and runs on your own infrastructure. Your documents, your customers and your books stay on machines you control — there is no vendor sitting between you and your own business data. Bring your own model keys, audit every action the agents take, and change anything you disagree with.

Alternatives

How Open Company compares

People weigh Open Company against workflow automation tools and against agent runtimes. It is neither: it is the organisation that sits on top of one.

ProductWhat it isUnit of workSelf-hostedBusiness rolesKey difference
Open CompanyAI organisationJob roles that own a functionYesSix, built in—
Zapier / MakeHosted workflow automationTriggers and actionsNo — hostedNoneYou design every step
n8nSelf-hostable workflow automationNodes in a graphYesNoneYou design the graph
OpenClawPersonal AI assistantSkillsYesNoneOne assistant, one person
Hermes AgentAgent runtimeAgents you buildYesNoneA runtime, not an organisation
PaperclipAgent governance layerTickets and budgetsYesNone — you bring themCoordinates agents you supply
FAQ

Common questions

Open Company is an open-source, self-hosted AI system that runs the operational functions of a small business. Instead of a single chatbot, it provides six role-specialised AI employees — developer, designer, accountant, sales, marketer and tax preparer — each owning a function end to end and reporting the work it produced.

Open Company is built and maintained by Zeenie AI. The source is public on GitHub under the zeenie-ai organisation, and the software is free to run on your own infrastructure.

You set a token budget. Work is dispatched to the AI employee that owns that function, which completes it and returns finished output rather than a suggestion. Each run reports what it cost in tokens and what it produced, so the loop from spend to result is auditable.

Yes. The source is public on GitHub and the software is free to run. Your only cost is the LLM tokens you consume through your own model provider keys, plus whatever infrastructure you run it on.

Self-hosting is the default and intended deployment. It runs on your own servers, so documents, customer data and financial records never leave infrastructure you control.

It is model-agnostic. You supply your own provider keys and can use over 200 models through OpenRouter, or point it at models you host yourself.

You need to be comfortable deploying self-hosted software. Once running, work is assigned in plain language — you do not build the workflows step by step, because each AI employee already owns its function.

Those are workflow automation tools: you design the sequence of triggers and actions, and the tool executes exactly what you specified. Open Company assigns an outcome to a role instead. You do not draw the workflow — the AI employee responsible for that function decides how to complete it and reports back.

Those are agent runtimes and coordination layers — OpenClaw is a personal assistant connecting models to your files and messaging apps, Hermes Agent is a long-running agent runtime with persistent memory, and Paperclip is a governance and org-chart layer that supervises other agents. Open Company ships the organisation itself: fixed business roles, a token budget going in, and revenue tracking coming out, as one self-hosted system.

On your own infrastructure. Open Company is self-hosted by design, so there is no vendor-side copy of your documents, customers or books.

The software is free. You pay your model provider for the tokens consumed and for the machine you run it on. Because spend is metered against a budget you set, cost is a dial you control rather than a monthly surprise.