neyume labs
An architectural study of connected glass layers and blue-teal compute nodes

Independent applied AI studio · Berlin

Intelligence
at the Edge.

Neyume Labs engineers privacy-first, hybrid-edge AI systems. We turn the cost, latency, and compliance barriers of modern AI into viable products.

LOCAL INTELLIGENCE. CONNECTED BY DESIGN.

Based in Berlin.

Architecting for Data Sovereignty, Viable Unit Economics, and Sustainable Compute.

01 / Core capabilities

Deep technology.
Grounded in business reality.

We don’t build chatbots. We build secure, localized intelligence infrastructure.

01

Compute at the source.

Intelligence on the device. Cloud only when it counts.

On-device inferenceHybrid routing
02

Precision over parameters.

Smaller models. Deeper domain expertise.

SFT & QLoRAModel quantization
03

Privacy, by architecture.

Sensitive data stays where it belongs.

Local-firstHuman-in-the-loop
Explore our approach

02 / Selected work

Our thinking, put to work.

Internal products. Real engineering challenges.
A lab for what’s possible.

Clinical UX · Edge AI

Lonora

Human connection. Local intelligence.

On-device therapeutic relationship management. Exploring localized guardrails and human-in-the-loop experiences in high-stakes contexts.

Current R&D · Fine-tuning

EdTech SLM Initiative

Learning without the inference tax.

QLoRA fine-tuning for L2 language acquisition. An 8B-parameter model optimized for local deployment and sustainable product economics.

Applied UX · Audio

SideBeat

Less friction. More focus.

Cognitive focus through bilateral stimulation. Bringing background audio processing and cognitive behavioral techniques into low-friction consumer UX.

03 / The people behind the systems

Different disciplines.
One considered approach.

Enterprise experience meets clinical understanding and advanced machine learning. We connect technical depth with the realities of people, products, and business.

Work with us

Clinical UX & product architecture

Clinical therapeutic training and enterprise software experience. Designing empathetic, safety-conscious systems with people in the loop.

Edge ML & data infrastructure

MSc Information Retrieval Engineering. MLOps, model quantization, and neural architectures built for resource-constrained environments.

Good problems deserve good partners.

Let’s build what comes next.

Projects. Fractional leadership. New possibilities.

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