Three ways to deploy.
One platform.
Choose where SafeHand runs. Agents, guardrails and evaluations work the same way in all three.
Data protection.
Conversations with your customers are some of the most sensitive data you hold. We treat them that way, by default.
Responsible AI, built into every conversation.
Rules like the EU AI Act set clear expectations for AI that talks to people. Our agents are designed around them.
Questions security teams ask.
Talk to us about security early. We share our architecture, data flows and subprocessors with design partners, and we’re preparing a full security pack.
Talk to us about securityWhere is our data stored?
In the region we agree, EU by default. With private cloud or on-premises deployment, it stays in your own account or data centre.
Do you use our data to train AI models?
Not without your written agreement. By default, customer data is used only to run and improve your own agents, under your instructions.
Can SafeHand run inside our own cloud?
Yes, on request. We start with your Google Cloud project, with AWS and Azure when needed, under your security controls. On-premises with self-hosted models is planned; talk to us about timing.
How do agents hand over to a person?
Whenever a rule says so, when the customer asks, or when the agent isn’t confident. Your team receives a written summary, so nobody has to repeat themselves.
How do you approach the EU AI Act?
Agents always disclose that they are AI, every decision is logged and reviewable, and you control which actions need human approval.
Who can access recordings and transcripts?
Only the people you grant access to, by role. Our engineers access your data only when you ask them to, and every access is logged.