Unilogistix · The AI company

We don’t sell software to companies. We run them.

CorporateOS runs a business end to end — research, product, sales, support, finance — with a governed team of AI agents. People step in only where the law needs a signature or the work needs hands.

corporateos · live view
Illustrative activity, not live data.
Since 2017Founded in Chicago as a logistics R&D company
60 rolesOne library, from CEO to auditor. Started only when the work starts.
Zero self-approvalNo agent approves its own consequential work
Every action loggedAudit trail, hourly status recaps, independent watchdog
CorporateOS

A whole company, organized like one.

CorporateOS isn’t a chatbot bolted onto your tools. It’s an organization: eight departments, clear owners, reporting lines and limits. Each company runs in its own isolated instance with its own data, credentials and records.

Meet the agents

Names, jobs, and nobody grades their own homework.

Every CorporateOS company has a conductor, an auditor and an arbiter. Inside our products, Forest and Max work alongside customers. Each is an AI agent with distinct responsibilities, and the separation between them is the point.

The conductor

Maestro

Maestro turns goals into work. He plans it, staffs it with the right AI agents, keeps them in time, and retires them when the job is done. He answers for everything his teams deliver.

  • Plans and sequences work across every department
  • Deploys, scales and retires AI workers as needed
  • Keeps a register of every worker, task and permission
  • Never reports work as done without evidence
  • Posts an hourly recap: assigned, in progress, queued, blocked
  • Stays inside the budget and limits the owners set
The auditor

Sherlock

Sherlock checks the evidence behind what the teams report: payments, releases, claims, controls. The teams he audits can’t edit or suppress his findings.

  • Independent audits and findings
  • Performance reviews when work goes missing
  • Keeps company rules in step with owner decisions
The arbiter

Judy

When two sides go back and forth four times without agreeing, the question goes to Judy with both positions and the evidence. She rules on the packet, and the work moves on.

  • Settles ordinary disputes on evidence
  • Four rounds, then a ruling. No endless threads.
  • Reserved decisions still go to the owners
The office manager · at Truxon

Forest

Agents also work inside the products we run. At Truxon, Forest runs a trucking company’s office over WhatsApp, so drivers and dispatchers work where they already talk.

truxon.com →

The broker’s desk · at Freightex

Max

Max works the desk for freight brokers. He answers from live Freightex data (loads, margin, receivables, carriers, shippers) and turns next steps into actions a person confirms.

  • Explains a carrier’s FMCSA record in plain language
  • Drafts rate confirmations, tender notes and negotiation language
  • Proposes cover, tenders and invoices with a confirm step, never silent money moves

freightex.ai →

Checks and balances

Autonomy you can actually trust.

Speed comes from agents doing the work. Trust comes from agents that can’t overrule each other’s checks.

Execute

Maestro

Plans the work and assigns it to specialist agents inside set limits.

Verify

Sherlock

Checks the evidence independently and reports straight to the owners.

Resolve

Judy

Rules on disputes after four rounds, so nothing stalls.

Decide

The owners

Set budgets and approve reserved decisions. Their word overrides any agent.

Separate handsThe agent that writes code, pays an invoice or publishes a claim is never the one that approves it.
Least privilegeEach agent gets only the keys its task needs, held in an encrypted vault and revocable at any time.
No limit, no spendWhere the owners haven’t set a budget, agents can prepare and simulate, but they can’t commit money.
Companies on CorporateOS

We run our own companies on it first.

Each company is independent, with its own team of agents, its own Maestro, Sherlock and Judy, and its own data. What one company learns improves CorporateOS for the next.

How it works

From idea to an operating company.

Whether we’re launching something new or taking over operations of a business that already exists, every engagement follows the same four stages.

01

Research

Demand, competitors, pricing and regulations, from real marketplace data before any spending.

02

Build

Brand, product specs, store, listings, compliance, and an isolated CorporateOS instance.

03

Launch

Go live across channels, with independent checks on every release, claim and payment.

04

Operate

Agents run the daily business and report hourly. Owners decide what matters.

CorporateOS runs

  • Market research and product planning
  • Listings, content, ads and email
  • Customer support and returns
  • Inventory, orders and supplier follow-up
  • Bookkeeping, reconciliation and reporting
  • Software, integrations, testing and incidents

People still do

  • Sign contracts, filings and bank documents
  • Complete identity checks the law requires
  • Make, inspect and ship physical goods
  • Approve budgets and reserved decisions
About

Logistics taught us how companies really run.

Unilogistix started in Chicago in 2017, applying AI and machine learning to hard logistics problems. Building for freight showed us that the hard part of a company isn’t any single tool; it’s coordination. So we built the thing that coordinates.

2017Founded in Chicago: logistics R&D
LogisticsTruxon for carriers, Freightex for brokers
TodayAn AI company running businesses on CorporateOS
Contact

Have a company that should run itself?

Tell us what you make or what you run. We’ll come back with research on your market and a plan for how CorporateOS would operate it.

info@unilogistix.com Chicago, US