GDPR-native AI automation.
Automations, agents and data pipelines, self-hosted in Germany. You own the code.
The work.
All servicesn8n & workflow automation
Repetitive work closed into a triggered, logged, unattended loop.
Explore 02Custom AI agents
Systems that read, decide and act across your tools, with a human in the loop.
See how 03Integration & data pipelines
Connectors, pipelines and custom MCP servers built against your stack.
Inspect 04RAG knowledge systems
Self-hosted retrieval over your documents. Answers that cite their source.
Architecture 05AI readiness & GDPR audits
Where AI pays off, where it creates exposure, and a roadmap that holds under DSGVO.
View scopeThe role they cannot fill. Lucid AI Labs takes the work instead.
Most firms that get in touch are not shopping for software. They are trying to hire, and there is nobody to hire. The vacancy stays open, the work still has to happen, so they contract the process out rather than wait on a person who is not coming. That is where most of the current work comes from.
In build right now
A construction firm in Bavaria. The Polier finishes on site and speaks the day the way he would phone it in. No form, no app to install, no evening in the office. What lands in the inbox is a finished Bautagesbericht: hours totalled per function, subcontractors kept separate, weather and executed work in the right fields, ready to sign. Nobody retypes anything.
It listens and writes in German, trade vocabulary and site talk included. Nothing routes through English on the way. And the document is the only part that is specific to construction. The same build takes any recurring paperwork in the trades.
The output, with the client details removed. One spoken handover in, one finished report out.
Three steps. One number.
Send the problem
In whatever shape it is in. Half-formed is fine.
One flat quote
Within a business day. No retainers, no hourly meter.
It ships, and it is yours
Self-hosted on your infrastructure. You keep the code.
Most AI shops ship a wrapper. Lucid AI Labs ships the system.
Self-hosted, typed, with error handling and retry queues. Clean code you can read the day it lands.
That is the whole difference.
Two products, run as proof.
Verdict
Due diligenceMachine-verified investor due diligence in 48 hours. A 14-agent engine cross-checks every load-bearing fact against public and financial records.
Open VerdictLina
Voice agentThe German AI phone receptionist. Answers every call, books appointments, escalates what it should not handle.
Meet LinaThe part nobody else is building.
Almost every AI shop wires a prompt to a model and calls that a system. It starts cold every single time: someone pastes context into a box and hopes it holds. What gets built here keeps a memory instead. Every answer, correction and document becomes an entry that links to the entries around it, and the ones retrieval keeps reaching for are weighted higher the next time. That network ran the founder's own work long before it ran anything sold.
Left. Context goes in, an answer comes out, the run is thrown away. Ask it again tomorrow and it knows nothing about today.
Right. Each entry references its neighbours, so nothing is thrown away. The heavy line is the path retrieval keeps using, and it is the one reached for first.
This is the part still under active experiment. See what is on the bench.
The tools get built here first.
Custom retrieval engine
Query fusion, diversity re-ranking, self-checking confidence gates. It runs under every knowledge system that ships.
In-house MCP servers
44 custom tools, written against the protocol while it is still new.
Deep-research pipeline
Multi-engine search, cited synthesis. 366 reports in the archive, and it feeds Verdict.
Verdict-radar
Autonomous deal discovery on its own server. It finds the work while the building happens.
13 projects are documented in the lab. The thinking behind them is in writing.
A big project or a small idea. Bring it.
You get a real answer from the person who writes the code.
Write to me