Lozedion is the runtime for AI agents that call your real tools, touch your real systems, and get logged like production code, because that's what they are.
They work in the demo. Then they take an action nobody approved, nobody can trace, and nobody can undo. Here's what usually breaks, and what we built instead.
The agent can send the email, issue the refund, or delete the record, with no human checkpoint in between.
Something went wrong three steps ago and there's no log of the reasoning, the tool calls, or the inputs used.
One bad prompt and the agent has the same permissions as your most trusted engineer.
Define what an agent can touch, wire it into your real systems, and see exactly what it does.
Define tools, memory and reasoning loops in code you already know how to review and version.
Expose internal APIs, databases or webhooks to an agent through explicit, permissioned tool definitions.
Every reasoning step, tool call and output logged and replayable, so debugging an agent looks like debugging code.
Mark any tool as requiring sign-off, in Slack, email or your own review queue, before it executes.
Agents run in isolated environments with scoped credentials, so a bad run can't reach further than you allow.
Pre-built connectors for common CRMs, ticketing systems and internal tooling, plus a generic webhook adapter.
Define it in code, deploy it like any other service.
Wrap the internal functions or APIs the agent is allowed to call, and mark which ones need approval.
Compose reasoning steps, memory and tool access in the SDK, version-controlled like any other service.
Ship to a sandboxed runtime with scoped credentials and approval routing already wired in.
Watch traced runs in the dashboard, catch failure patterns, and tighten permissions where it matters.
Billed on agent runs, not seats. Self-hosted plans available on Enterprise.
For building and testing agents before production.
For teams running agents against real production systems.
For self-hosted deployments and dedicated compliance needs.
Only if you let it. Any tool can be marked as requiring approval, and agents run with scoped credentials so they can't reach beyond the tools you've explicitly granted.
Any model reachable through an API, via a thin adapter layer. The agent logic and tooling stay the same if you swap models.
Yes, available on the Enterprise plan for teams that need the runtime inside their own infrastructure.
Every agent run has configurable step and time limits, and the sandbox terminates any run that exceeds them.
Get an API key and deploy your first agent with guardrails already in place.
Get API access