For in-house AI teams
From AI prototype to production.
With nara, your AI team builds agents that work directly in your systems and on your devices. You decide what runs without approval.
nara brings what your prototype is missing.
Access to your systems
nara connects to any system, with or without an API. It reaches computers and servers over an outbound connection. You open no ports.
Approval per tool
You decide whether each tool runs right away or waits for approval. By default, nara asks before any change, for example in Microsoft Teams.
Every action logged
The log shows every tool call: who triggered it, whether it was approved and what came back.
Hosted in Germany
nara is developed and hosted in Germany. AI processing stays in the EU, with no training on your data.
How your team builds an agent in nara.
Describe
Your team writes down what nara should handle, for example: “Check purchase requests and route them to procurement.”
Draft
nara drafts the steps and writes any missing tools along the way. Your team refines the draft in chat or directly in the code.
Test
Your team tests every new tool, on a connected device if needed, and runs the agent through real cases.
Publish
The agent goes live only after it passes the checks. Every later change becomes a new version.
Your tools run on devices and servers.
Your team writes its own tools in TypeScript or has nara draft them. nara Edge runs them directly on computers and servers, including internal applications without an API. You decide which version runs on which device.
Your own AI applications act through nara.
The AI applications your team has built stay in place. Through the REST API, they start agents in nara that act in your systems. Your approval rules still apply, and every action is logged.
Your first agent in production.
First meeting
In 30 minutes, we show you anonymized examples and agree where to start.
First agent
Your team builds the first agent with us and tests it against your own systems.
Review and go-live
Your CISO and works council review in parallel with our documentation. Then your team builds further agents on its own.
