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PREKIT Integrated Analytics

Turn your process data and know-how into actionable insights for proactive maintenance and machine operations

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Build with Proven & Scalable Software

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Develop AI Algorithms in a Standardized Process

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Directly Deployable with Fully Automated MLOps 

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How it works?

PREKIT's traceable insights empower proactive machine maintenance and operational excellence.

In 5 Simple Steps

You've already connected your machines and built your data platform? PREKIT runs in multiple modules that seamlessly blend with your existing data architecture. Jump to Algorithm Development.

1

Connect Your Machines

PREKIT Connect

We provide you with a pre-configured LTE Edge Device. Or many.

You mount it in your machine's control cabinet and connect it via ethernet to the machine controller.

Your Data Acquisition Strategy

PREKIT provides you with fine-grained control over...

Data Acquisition: Specify which data is logged and whether it is stored and processed on edge or in a central cloud.

Data Model: Enrich data with contextual information by assigning signals to the system elements and process steps they provide information about.

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Your Data Management Platform

Based on your configuration, PREKIT generates a data model tailored to your machines.

Providing you with a ready-to-use Data Management Platform.

So you can store and access your data.

Auto-Discovery of Signals

The Edge Device automatically connects with PREKIT and registers the new asset.

PREKIT, via OPC-UA, scans for all sensors & signals available for diagnostics purposes.

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2

Manage Your Data

Building with PREKIT, it takes days to create and deploy

Your Digital Twin for Condition and Process Monitoring.

The basis for industrial-grade AI.

Monitoring a single asset or one thousand.

Intuitively accessible via API.

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PREKIT implements the DeepFMEA framework. So you can develop, operate and control enhanced monitoring, diagnostics and prognostics algorithms with fine grained control.

Do you want to learn more about how DeepFMEA systematically combines your process know-how with your data to produce more reliable predictions? Check out the detailed explanation: DeepFMEA Framework

3

Initialize DeepFMEA

Your Use Case

You specify, which critical failure modes you want PREKIT to predict. 

And their typical consequences, and how they are managed in the field.

AI-Enhanced Monitoring

PREKIT's probabilistic monitoring algorithm learns how your application and the process it runs behaves, when healthy.

And notifies operators & maintainers, when an anomaly is detected. Together with the information needed to pinpoint its origin faster.

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4

Continuously Learning Algorithms

Risk Optimization

PREKIT computes a baseline (economic) risk profile for these failure modes.

Its used to benchmark each detection method based on its impact to reduce your operators' risk.

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AI-Enhanced Diagnostics

PREKIT develops probablistic diagnostic algorithms to predict the most likely failure modes, given an anomaly is detected. Allowing operators & maintainers to manage them more efficiently.

And tests them regarding the performance measures derived from your objectives.

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Enhanced by your Expertise 

PREKIT provides you with intuitive visual tools to interpret detected anomalies and assign them to specific failure modes

And compute and analyze meaningful virtual sensor on the data from your entire machine population.

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5

Deploy and Operate Your Monitoring & Diagnostics Tool

Tailored Rollout

You maintain fine-grained control over reported metrics & insights for individual target groups (operators, maintainers, ...).

Decide which assets should be monitored.

And choose the reporting channels
(via dashboard, apps, or custom API-integrations).

Fully Automated Operations (MLOps)

PREKIT adapts the diagnostic algorithms to every machine's operating context. 

Provides them as a diagnosis tool.

Continuously monitors data quality and algorithm performance in operation. And automatically adapts and enhances the algorithms when required.

Want to learn more about ML Ops?
Check Out: MLOps for Industrial Analytics

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Enhance your machine operations, maintenance and quality assurance processes with 

The Most Advanced Monitoring & Diagnostic Tools

Providing insights beyond the classic attention index:

likely system element of origin and modes of failure connected to actionable interventions
healthy envelope of operation for a given process parametrization
examples of similar detections in the past and from other machines
how familiar a model is with the current operational context
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PREKIT is your Anywhere-to-End Solution. 

We designed PREKIT as an orchestration of modular services. So you can acquire the capabilities you still lack by blending individual modules into your existing data architecture.

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Leverage the PREKIT machine analytics software to empower predictive maintenance, predictive quality and process optimization

Make any machine IoT-ready

Access, store and manage your machines' data at scale

Manage your machines from anywhere via secure VPN

Set your process parameters online

Starting at 25€ / month & machine

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Enrich your process data with your know-how

Create AI-enhanced monitoring and diagnostic tools

Reliably deploy and operate them for your machine population

Empower proactive machine maintenance and management

Starting at 10'000€ / year
for small fleets

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