Applied, sovereign AI
AI where it adds something, within a framework you control.
Forecasting, reading documents, assisting your teams: three practical uses of AI, provided you choose the right tool for each and keep the decision in your hands. We install it in the cloud or on your premises, depending on what your data allows.
AI is already in your organization. The question is within what framework.
Your teams use consumer assistants, sometimes with confidential information. Banning them is not enough: the use continues, with no framework and no record. You have to offer something better, within a framework you control.
And not every task calls for the same AI. Forecasting is a matter of statistics. Reading a form is a job for a document reader. Drafting or reasoning is a job for a language model. We are convinced that choosing the right tool for each task costs less and gives results you can check.
When to consider it
- Your teams already use consumer AI tools, with no guardrails.
- You process documents in volume, read and keyed in by hand.
- You want forecasts you can explain to a committee or an auditor.
- Your data must not leave your organization.
What you get
Forecasts you can explain
Forecasts you can explain, result by result: cash flow, risk, anomalies.
Document reading
Your documents read field by field, with the position on the page and a confidence score, then checked by a person.
Supervised AI
Assistants and agents that work within set limits, with calculation tools for what must be exact and an audit trail.
Your AI on your premises
The model runs on your hardware: we measure your need, choose the model with you and install it on your infrastructure.
Use cases
Cash-flow forecasting
A statistical model anticipates cash flows and shows the factors that explain each forecast.
Form reading
The useful fields are extracted from your documents; the reviewer sees each value highlighted in the source document.
Internal assistant
An assistant answers your teams from your own documents, within the limits you set.
With which AI
Four options, your choice.
Our solutions are designed to work with several AIs. You choose the one that suits you; each is at your expense, and we tell you where the data goes.
Kantia KORA
Kantia’s platform. It is designed to mask personal information in Canada before sending to the model provider, most often outside Canada.
Paid by youYour KORA account and credits
Microsoft AI Builder
In your Power Platform environment, according to your tenant’s settings.
Paid by youYour AI Builder credits
Microsoft Foundry
In your Azure subscription, in the region you choose.
Paid by youYour Azure consumption
Your own model
Wherever your model runs. Installed on your premises, it processes the data on site.
Paid by youYour hardware or your contract
Only KORA is designed to mask personal information. For the other three options, Kantia bills no model usage: only the engineering.
How it goes
Start from the problem
We first check that a simpler tool is not enough.
Set the framework
Which data, which model, who validates, what audit trail.
Go live
With a first limited, measured use, extended afterwards.
Why Kantia
The right tool for each task
A formula to calculate, a statistical model to forecast, a reader to extract, a language model to draft.
On your premises, if your data requires it
We measure your need, then install AI on your infrastructure when your data must not leave.
No dependence on one provider
The model is a setting: you can change it without rebuilding the solution.
Frequently asked questions
- Where does our data go?
- That is decided with you, before we build: in the cloud, in a private cloud or on your own servers. We tell you who receives what.
- Can we use our own model?
- Yes. Our solutions are designed so that the model is changed through a setting, including a model you host yourself.
- Do we need special hardware for AI installed on our premises?
- It depends on the volume and the number of users. We measure your need, then recommend suitable hardware, from a workstation to a server.
- Can AI get it wrong?
- Yes. That is why a person validates what matters, and why calculations stay with formulas.
Your case deserves thirty minutes.
A conversation to understand your context and tell you, frankly, whether we are the right choice. The diagnostic that follows is free of charge.
Book a call