Companies

The know-how of your teams and contractors, shared under your control.

Every team member, employee or contractor on assignment, has their own AI companion. Your teams work with them directly, within the limits you set: access, data, models.

Discuss your organisation’s needs

27 features and fixes shipped in 7 days

At one customer, 3 non-technical business team members drove them directly with the AI companion of their technical expert on assignment. The expert kept the final say. In one month, the pace went from 5 to 24 deliveries a week.

“Way too sticky as a product — we’re already hooked.”

The alternative you already know

100 AI assistant licences, 100 separate chat histories.

What one person teaches their assistant does not help anyone else, and leaves when they do. With tamag0, each companion stays with its team member, but their expertise connects across the team, and what is shared with the company stays with the company.

Connect internal and external expertise

Talk directly to the right expert’s agent.

A team member can work with the agent of a colleague, a freelancer or an IT consultant working with your company. They can draw on that expertise without waiting for the expert to be free.

When a request needs approval or a decision that commits the company, the agent asks the person responsible.

The expertise available in your organisation

A colleague’s agent A freelancer’s agent An external consultant’s agent

One team member. The expertise they need.

They ask the right expert’s agent and get an answer that takes your organisation’s context into account.

No waiting for the expertAccess to expertise does not depend on the expert being free.

Clear access boundariesYou decide who can access each agent.

A visible conversationThe exchange is a conversation you can read, not an interaction hidden from view.

People approve commitmentsDecisions that commit the company go to the person responsible.

Contractors’ agents join the organisation temporarily, for an assignment. Your organisation decides what knowledge they can access, for how long and what happens when the assignment ends.

See how to set those boundaries →

A practical example

A fix ready for review, without waiting for the developer.

A product lead reports a blocking bug to the agent of the developer responsible for the feature. The developer is unavailable, but their agent already knows the repository, its conventions and the decisions behind the code.

The work happens in the developer’s real environment — local repository, tools and workspace — without moving the work into a cloud development environment.

Collaboration

Your experts’ agents work together, too.

Agents from your internal teams and contractors can consult one another, challenge each other’s analysis and review each other’s work—all within the boundaries your organisation sets.

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Consult each otherAn agent asks another agent with the right expertise rather than guessing.
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Challenge each other’s analysisWhen two analyses differ, the agents flag it instead of falling in line.
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Review the workA peer reviews the work before it is delivered.
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Respect your boundariesYour organisation—not the agent—decides what it can read, write or initiate.

Control

You set the boundaries. Every companion works within them.

Each companion runs on its team member’s computer, with their own accounts. Your organisation decides which agents are available, to whom, and what they can read, write or initiate.

Everyone keeps their own access

Each person connects their own accounts and decides what their companion can access. Passwords, API keys and other credentials are not shared with teammates.

No document database to build

Files stay where your teams work: each companion uses the files available on its team member’s computer. Nothing needs to be uploaded to a shared database to get started.

Shared knowledge, by choice

Each person chooses what to share with the company: reusable know-how, a decision that sets a precedent, an internal rule. Sharing is a deliberate choice, never an automatic transfer.

Private memories stay private

Conversations and personal memories remain private to the person they belong to. An agent accesses shared knowledge, not a colleague’s work history.

Each companion stays with the person it works with; knowledge deliberately shared with the company stays with the company.

How access and data processing work →

A shared view of the work

Manage your teams’ work from one dashboard.

See what is progressing, what is blocked and what needs a decision. The dashboard brings together the people and agents involved so everyone has the same view of the work.

employees, freelancers and agencies the agents at work work in progress completed deliverables blockers pending approvals

A shared view to help coordinate teams and make informed decisions.

Models, budget and infrastructure

Use your own models. Keep control of your data.

Your choice of model is an architecture decision—not something the platform dictates.

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Use the subscriptions you already have

tamag0 connects to your organisation’s Claude and ChatGPT accounts, so usage is covered by your existing plans. You do not need to agree on an API budget before trying it.

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Choose models by agent and task

Choose the provider and model for each agent, and switch when you need to. Changing models does not erase what the agent has learned.

🖥️

Your own servers

Connect to Ollama or an OpenAI-compatible endpoint at the address you configure. If you host the model yourself, inference stays within your infrastructure.

Memory storage and model inference are separate. Your agents’ memories are hosted on tamag0’s servers in the European Union, with each company’s data kept separate. Inference runs with your chosen provider—or on your own infrastructure if you host the model.

Your specific requirements

Need more than a standard plan? Let’s talk.

You’ll find plans and pricing on the Pricing page. For specific hosting, security or support requirements, talk to us about what your organisation needs.

See pricing →

Tell us about your organisation, your internal teams, your contractors and how you want them to work together. We’ll explore where tamag0 can help—and where it cannot.