Services

Industrial AI services, co-developed with your engineers

Eight ways to work with us, from a two-day feasibility study to a deployed multi-modal sensing and edge AI system. No packages, no generic product: an engagement ladder where every rung has a fixed scope and a clear output. Each service has its own page with scope, stages and questions answered.

The eight engagements

Pick the rung that matches where you are

Most clients start with a feasibility study or an advisory day. Nobody has to start at the top.

Co-Development R&D & Proof of Concept

Applied R&D done together with your engineers, on your process, with a measurable target agreed up front.

PoC 2–8 weeks · R&D 3–12 months Open the service page

Multi-Modal Sensing + Edge AI Systems

Co-developed sensor units and on-device AI with NeuroControls GmbH: vision, audio (audible to ultrasonic), vibration, lidar, environmental and gas sensing across one platform.

Pilot line first, then roll-out Open the service page

Sovereign AI & Federated Learning

AI that stays on your premises: on-device and on-premise deployment, and federated learning across plants without moving raw data.

Architecture to compliance sign-off Open the service page

Energy-Efficient Edge AI Deployment

Models sized for the hardware and the site's power budget: quantisation, pruning, efficient architectures, real-time on embedded devices.

From one device to a fleet Open the service page

Expert Consultation & Advisory

Senior engineering time for teams that already have data scientists: architecture reviews, evaluation design, sensor choice, edge and sovereign deployment.

Per day or monthly retainer Open the service page

Feasibility Study

The low-risk entry point: 2 to 10 days on your data or a short measurement campaign, fixed scope, fixed fee, honest go / no-go.

2–10 days · fixed fee Open the service page

Industrial dataset creation

Measurement campaigns, label specifications, quality assurance and versioning that turn recordings into an asset your team can train on for years.

Campaign to documented dataset Open the service page

Training & Capability Building

Hands-on training for in-house teams: industrial signal processing, dataset engineering, honest evaluation, edge deployment and sovereign architectures.

Workshops and mentoring Open the service page

How we work

The engagement ladder

You decide at every rung whether to climb the next one. An advisory retainer (per day or monthly) is available for companies with their own data team. For German clients the follow-on R&D is usually structured as a ZIM co-operation project, which recovers part of the client's eligible cost; we prepare the technical sections.

Step 1 · Free, 30–45 min

Discovery call

Bring the problem, the recordings you have and your constraints. We tell you whether sensing-based AI is the right tool, and which modality is likely to carry the signature.

Step 2 · 2–10 days · fixed fee

Feasibility study

On your existing data or a short measurement campaign. Where you already have recordings, from an end-of-line test cell, a weld monitor or a survey instrument, the study runs on those first; no new hardware is needed for a first answer.

Step 3 · 2–8 weeks (PoC) · 3–12 months (R&D)

Co-development R&D or proof of concept

Milestone-based. Measurement plan, dataset engineering, model design, evaluation under realistic conditions, error analysis, production plan.

Step 4 · per project

Pilot line, then roll-out

Sensor units and edge AI on one line, integrated with PLC, SCADA or MES, handed over to your OT/IT team, then scaled across lines and sites.

What you own and what we document

The dataset, its specification and the trained model weights are yours; we do not train across clients.
On-premise or on-device deployment is the default; cloud only if you ask.
Architecture and data-flow documentation written for your IT security review, mapped to IEC 62443 where OT components are involved.
Named engineers who stay on the account.

What we always deliver

The dataset with its specification, the trained models, the evaluation report and the documentation. You own all of it.

What we never do

Invent performance numbers, move your raw data to a cloud you do not control, train across clients, or lock you into our tooling.

How we work with India

Remote delivery with on-site visits for measurement and deployment. Mon–Fri 09:00–18:00 Germany time (CET/CEST) · India calls 13:30–16:30 IST. NDAs standard. EUR invoicing from Germany.

Proven where it counts

We build on what your plant already trusts

Acoustic testing and monitoring are standard practice in three places. We do not ask you to believe in a new method; we add learning to one you already run.

End-of-line acoustic testing

Established practicePowertrain and e-drive plants routinely screen every motor, gearbox and compressor acoustically before shipment.

What we addLimits learned from your data instead of set by hand per variant; fewer false rejects; each failed signature traced to the station that caused it.

See the sector

In-process weld monitoring

Established practiceLaser and arc weld cells are monitored optically, and automotive guidelines are written around optical sensors.

What we addAirborne acoustic emission as a validated second channel, with the capability studies your quality auditor expects.

See the sector

Switchgear partial discharge

Established practiceHandheld ultrasonic and TEV surveys of switchgear are routine maintenance practice.

What we addThe same survey made continuous and unattended: permanently installed acoustic sensing with learned classification and severity trends to your maintenance system.

See the sector

Ready to find out if it works on your machines?

Start with a free 30 to 45 minute discovery call. Bring the problem, the recordings you already have and your questions. We will tell you honestly whether sensing-based AI is the right tool and what the next step would cost in days, not months.

Request a discovery call All the ways to reach us