Your data stays yours
We never use your data to train models. Deploy in our cloud in Sydney, in your own AWS, GCP or Azure account, or split between the two. You decide where it lives.
Built so that the person who asks whether this is safe gets a real answer, not a brochure. Your IT lead is going to ask. We want to be the ones who can answer properly.
Working through a review? Every capability, grouped →Most AI security pages drown in jargon. This one doesn’t. Here’s how we think about it in plain terms, the same way we explain it on a kickoff call.
Worth knowing who wrote them. Our engineering lead has built production systems at enterprise scale and holds a master’s degree in artificial intelligence. None of the commitments below were retro fitted because a customer asked. That’s why they’re in the architecture rather than in a policy document beside it.
We never use your data to train models. Deploy in our cloud in Sydney, in your own AWS, GCP or Azure account, or split between the two. You decide where it lives.
Logins to your storefront, email platform, support desk and the rest of your stack live with Lifter, encrypted. Agents get the ability to do something. They never see the credential that lets them do it.
Refunds, customer messages, paid spend, anything that moves money or changes inventory pauses in the channel your team already works in, for someone to approve before the agent acts.
Who asked, what ran, what it touched, who approved it. Exportable in real time to your audit pipeline so finance, IT and the board can see what’s happening without asking.
Your support agent can refund up to fifty dollars without asking. Your trade report agent can’t refund at all. You set the lines, we enforce them.
Your team's data sits in its own isolated environment with its own storage. Not a shared database, not a logical partition. Real separation.
Agents see actions, not API keys. The Gateway holds the credentials, looks up the right one per call, checks the rules, and never lets a secret reach the model. Here’s the whole path a refund takes.
Encrypted at rest. Resolved in memory at call time. Never delivered to the model, never logged in clear.
Different stances for different agents, different accounts and different value thresholds. You set them, we enforce them.
Who did what, when, and under which rule, for every call. Recorded and exportable to your audit pipeline.
Every tool an agent can use has one of three settings, and you decide which, per person and per role. Not per application. Per tool inside each application, so an agent can read orders without being able to refund them.
Safe, reversible work. The agent runs without interrupting anyone. Drafting an email, building a dashboard, summarising a thread.
Anything that touches a customer, costs money or changes inventory. The agent pauses in the channel your team already uses, for a human to approve, deny, or ask for context first.
The tool isn’t available to that agent at all. They don’t see it. They can’t try to use it.
Three options. Pick the one that matches the conversation you would have with your IT lead. The runtime is self contained either way, with local configuration and local credential storage.
Hosted in Sydney, managed and monitored by us. For teams who want it running without a procurement cycle. The fastest path to value.
Runs entirely inside your own AWS, GCP or Azure account. Your data and your customers' information never leave your perimeter. Right for regulated industries or strict data residency requirements.
The admin interface lives in our cloud so we can keep shipping product improvements. The runtime, meaning credentials, tool calls and customer data, runs in your account. A practical middle ground.
The Gateway loads its own configuration, holds its own credentials and exposes its own tools. On premises or air gapped, nothing leaves your perimeter. When a security team asks where the data goes, the answer is one sentence long.
A model outage doesn’t become your downtime. Lifter runs on a default model with a backup configured behind it. If the default goes down, work fails over to the backup and your agents keep going, with their memory, skills, permissions and audit trail exactly as they were.
Agnostic to any specific model. Models are configurable by design, and nothing you’ve built lives inside one. Agents, skills, memory, connections, automations and applications sit on the platform, so the work you’ve put into your workforce is protected whichever model runs it.
The log covers far more than outcomes and errors. It’s the full picture of what your AI workforce did, who approved it and why.
Into the audit pipeline you already use. S3, Datadog, Splunk, or the SIEM of your choice. We don’t gate the data behind our interface.
If your environment requires seven years, we keep it seven years. If ninety days is enough, we keep it ninety days. Retention follows your policy.
Most AI platforms keep your configurations and learnings locked inside their system. We’re built on the opposite premise. The agents, skills, memory, connections, automations and applications you develop are yours to do with as you choose, and off boarding is supported rather than obstructed.
Every agent you build or we build with you, including its handbook and configuration.
Plain files. Yours to take, and readable without our software.
Monthly subscriptions can be cancelled at the end of any billing cycle.
Agnostic to any specific LLM, with a backup behind the default. Changing the model changes nothing you’ve built.
Deployed under your brand, on your own domain, with us quietly in the corner.
If you leave, we help you leave properly. Obstructing that would say more about us than it would about you.
Email security@lifter.work and we’ll reply within one business day. If you need a call with our engineering lead, just ask in the email.
We would rather answer the hard questions early than have them surface halfway through a procurement cycle.