// Applications
Where Lindwurm goes to work.
We build the core reasoning engine. Partners build what runs on it. These are the domains where its properties — learning from a handful of examples, native image and event-stream input, low compute per task, auditable decisions — matter most.
01 / Financial integrity
Our lead demonstration domain
Explainable anomaly detection on transaction streams, for supervisors and institutions. Low false-positive rates; every alert traceable to evidence; thresholds that are measurable and defensible.
02 / Critical infrastructure
Energy, water, telecommunications, industrial operations. Continuous sensor and event streams are Lindwurm's native input — and labeled failure examples are, by nature, rare. Few-shot learning is not a convenience here; it is the requirement.
03 / Few-shot visual inspection
Industrial quality control that learns a new defect class from a handful of samples. No months-long labeling campaigns, no retraining pipelines — the skill is acquired at inference time.
04 / Edge intelligence
Low compute per task means the engine runs close to the sensor: energy-efficient deployments where cloud-scale inference is impossible, too slow, or undesirable.
05 / Research & OEM licensing
The engine and its description language, licensed to integrators and research partners under audit-friendly terms.
Building in one of these domains?
We are selecting pilot partners for the benchmarking phase of the Lindwurm program. Early partners shape the evaluation criteria their domain is measured against — and see the results first.
A hard problem, a pilot domain, a collaboration?
Let's begin with a confidential, no-obligation consultation.