Research
Efficient time series
Applied research on compact sequence models for technical time series under tight data, memory, and runtime constraints.
FROM MODEL TO METAL.
RAWS Labs is an applied research and engineering lab. We build efficient learning systems for technical data in constrained runtime environments and on real hardware.
SELECTED WORK
Beyond the pitch.
ENGAGEMENTS REVIEW SPRINT BUILD PARTNER
How we can work together.
Technical assessment
A bounded review of the data, target system, constraints, and technical risk.
Prototype sprint
Build and evaluate a focused model, runtime path, or integration to test the core assumption.
Implementation track
Carry a validated approach into production-quality software, embedded integration, or testing infrastructure.
Ongoing technical partner
Longer collaboration for research-heavy or evolving systems where the right shape emerges over time.
FAQ
Common questions.
Technical ML and algorithm problems where data meets real operating constraints: sensor traces, logs, measurements, product data, time series, embedded targets, or systems where runtime, memory, reliability, or deployment shape the solution.
No. Embedded ML is one focus area, but the broader work is applied research and engineering for efficient machine-learning systems, technical data, real hardware, and constrained runtime environments.
No. Part of the early work can be understanding what data exists, what is missing, and whether the target can be measured reliably enough to justify a prototype.
Yes. We can review model behavior, evaluation setup, deployment constraints, runtime characteristics, and what would be needed to turn a promising result into a usable technical system.
No. If the risk is unclear, an assessment is useful. If the direction is already solid, we can start with a prototype or implementation right away.
German or English. For German-speaking teams, German is usually easiest; project artifacts can be produced in English when useful.
Research shaped by systems.
RAWS Labs is an independent applied research and engineering lab based in Linz. We work where models meet data quality, runtime budgets, hardware limits, and deployment reality. RAWS Consulting is the registered legal entity behind the lab.
Location
Linz, Austria