AI platform · Security
VPN Express
An AI-native security VPN with a chat and voice assistant, real-time fraud detection and QR protection.
AI agents that turn requests into action.
We build assistants that understand what people ask, call the right tools and complete the task, within the permissions you define. By chat or by voice.
Agentic AI · VPN Express
From conversation to action.
In VPN Express, people just say what they want. The assistant understands the intent, calls the app's own tools and gets it done: managing connections, finding servers and switching on features by chat or voice.
1Request
2Understand
3Call tools
4Act
Within defined permissions
How an agent works
From request to result.
An AI agent is more than a chatbot. A chatbot answers. An agent understands what someone wants, then uses real tools to get it done. This is the general pattern; the VPN Express assistant above is one example.
01
Request
Someone asks in plain language, typed or spoken. No menus to learn and no forms to fill in.
02
Understand
The agent works out the intent and the details that matter: what they want, where, and with which settings.
03
Call tools
The agent calls the product's own functions, such as listing servers or testing latency. This is tool calling, coordinated by LLM orchestration.
04
Act
It completes the task and confirms what it did, so the person always knows the result.
Permissions & human oversight
Capable, within limits.
An agent should only do what you allow. “Within the permissions you define” can be designed in three ways, agreed with you for each project.
Scoped tools. The agent can only reach the functions you choose to expose. If a tool isn't connected, the agent can't use it.
Human oversight. Steps that matter can be set to wait for a person to confirm, so people stay in control of the decisions that count.
Visible actions. Each tool call can be shown, as in the demo above, so what the agent did is clear rather than hidden.
Chat and voice
Type it or say it.
In VPN Express, people manage connections, find servers and switch on features by chat or by voice.
Voice is another way to make a request. The agent still works out the intent, calls the same kind of tools and stays within the same permissions. For people on the move, saying it is often faster than tapping through settings.
AI inside products we've built
AI features in real products.
Agents are one way to put AI to work. In these products from our work, AI handles the tasks people would rather not do by hand.
From model to cloud
Built to run, not just to demo.
An agent is only useful if it is fast, dependable and safe to run every day. From the model to the cloud it runs on, we design, build and operate the whole system.
See our cloud and DevOps work for the infrastructure side. If your agent needs to read contracts or reports first, see document intelligence.
Start a project
Got a task an agent could own?
Tell us the process, the systems involved and who needs to stay in control. We'll tell you how we'd approach it.
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