AI for teams · Multi-LLM

AI for teams: the choice of models, one shared framework.

Use AI across your teams without multiplying workspaces. Your knowledge stays organised, the models adapt to the tasks.

Choose by task

No model needs
to become your only choice.

Writing, summarising, exploring documents: compare the results and choose on quality, cost and processing requirements.

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Local models may also be offered, depending on your configuration. The list available changes over time.

The Narratheque interface showing several AI model providers.
Selecting model connectors in Narratheque.
Reducing shadow AI

AI for teams: a clear alternative to scattered use.

Shadow AI is the AI use that grows outside the framework the organisation intended. A shared space has to come with rules people can understand.

One way in

Invite your staff into an environment organised around what they need.

Permitted models

Match each type of data to a configuration and a level of confidentiality.

Supported use

Explain what may be given to the AI and what requires approval.

Keeping the budget in hand

AI for teams: understand the subscription
and what it consumes.

Subscription+Credit usage+Possible options

The plans include a volume of credits. Usage depends on the model and on the work requested, among other things. Top-ups and any options have to be built into the budget.

Frequently asked questions

What you want to know about AI for teams.

Are subscriptions billed per user?

The plans shown are organised by number of bases and include a set number of users. See the ceilings for each plan and the options on the Pricing page.

Does changing model guarantee data stays in?

No. Where the processing happens and under what terms depends on the model. For sensitive data, you have to choose and check a suitable configuration across the whole path.

Can several answers be compared?

You can use the available models to look at different answers to the same task. Check the results on questions and criteria that represent your own work.

Let us start simply

Your knowledge already has value.
Give it new uses.

Let us start from your data, your teams and a first concrete need.

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