Sovereign agentic AI
Your AI agents, on your servers, under your rules.
We install an AI agent platform in your organization that runs on your infrastructure, with open models executed on site. Each agent has a role, rights and limits set with you: your requests, your documents and the answers do not have to leave your premises.
Generative AI, without sending your data to a model provider.
AI agents can now read, draft, sort, search and act in applications. But in most offerings, every request goes to the model provider, along with your documents. For a firm bound by professional secrecy, or an organization that handles sensitive information, that is often where the project stops.
Open models have changed that: they run on a server or a workstation on your premises. The value is no longer in the model, which is quickly replaced, but in what surrounds it: the rules, the rights, the calculation tools, the record. That is what we build.
When to consider it
- Your data cannot leave: professional secrecy, a client’s or a regulator’s requirement.
- Your teams already use consumer AI tools, with no guardrails.
- Your pay-per-use AI bill is becoming unpredictable.
- You want agents that act in your systems, not just an assistant that answers.
What you get
A governed team of agents
Each agent has a role, permitted tools and limits: computing budget, duration, number of steps. The actions that matter wait for a person’s approval.
Open models, on your premises
Open models, chosen through tests on your own cases, running on a server we install and secure on your infrastructure.
Agents connected to your systems
Your documents, databases and applications, connected with each user’s rights; a search across your internal knowledge, without indexing it elsewhere.
A record of every action
What each agent did, from what, and who validated it, recorded on your servers.
Use cases
Private internal assistant
It answers your teams from your policies, procedures and files, with the source of each answer.
Sensitive documents
Your documents sorted, read and extracted, checked by a person, with nothing sent to an outside service.
Development agents
Your developers have agents analyze, change, test and document their code, connected to a local model.
And your other solutions
Kantia products: three AI options.
Kantia products are designed to accept three AIs of equal standing. The model we install on your premises is one of them, and your products are designed to connect to it. Each option is at your expense, and we tell you where the data goes.
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
Whichever option you choose, Kantia bills no model usage: only the engineering.
How it goes
Diagnosis
We first check that a simpler tool is not enough, then look at your use cases, your confidentiality requirements, your volumes and the hardware to plan for.
A first, measured use
A first case put into service and measured on quality, speed and confidentiality.
Rollout and follow-up
Rights, security tests and training; then updates, backups and ongoing model evaluation.
Why Kantia
Data stays where you allow it
The model runs on your infrastructure. We check what each installed tool sends over the network: you know what goes out, and you can block it.
The right tool for each task
A formula to calculate, a statistical model to forecast, a reader to extract, a language model to draft or reason: agents rely on exact tools wherever they can.
A cost you can plan
A hardware investment, paid off over time, replaces a pay-per-use bill. We compare it with a cloud solution with you before recommending anything.
Frequently asked questions
- Are open models as good as the best models on the market?
- For many tasks, yes. The gap, where there is one, is measured on your own cases: that is why we test them before choosing.
- Which models do you install?
- Open models, chosen for their licence, their origin and their results on your cases. The model is a setting: you can change it without rebuilding the solution.
- Do we need special hardware?
- It depends on the volume and the number of users: a powerful workstation for a team, a server with graphics processors for an organization. We recommend hardware without being tied to a manufacturer.
- Is an installation on our premises enough to be compliant?
- Not on its own. It reduces the personal information that leaves your premises, but compliance is assessed against your activities and the information you handle. We document it with you, privacy impact assessment included.
- Can the platform run without the Internet?
- Yes, if your requirements call for it: the installation can be designed for an isolated network. Updates then follow a procedure we set with you.
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