AI AI Lab · Frankfurt
Applied AI · since 2024

Small models.
Quiet infrastructure.

We build focused AI tools for teams that prefer calm systems over noisy demos: retrieval, evaluation and automation that stay close to the data.

01 · Retrieval

Private knowledge

Small, grounded search layers over internal documents — with citations, not confabulation.

02 · Evaluation

Quiet benchmarks

Task-specific eval harnesses that tell you when a model is actually better, and when it is not.

03 · Automation

Boring agents

Deterministic workflows around the model: retries, guardrails, logs, and a human in the loop.

Current focus. A compact retrieval stack for engineering archives, running on a single node in Frankfurt. No dashboards for the sake of dashboards — just fast answers with a traceable path back to the source.

lat 50.11 · lon 8.68