Landing Quality Assurance & End of line testing

Cutting-edge AI Brainware for Monitoring of Energy Assets

What we provide

AI and ML based solutions for manufacturing and processing environments

We provide solutions for predictive maintenance,
process control, and quality assurance for monitoring of equipment in manufacturing and processing industries.

End-to-end customizable platform, System integrations or Plug & Play, 24/7 Remote Access, in the cloud or
in situ.

130 installations on 3 continents, focusing on OEMs,
large producers & operators.

PROBLEM

We address:

Unexpected downtime
Low digitization of assets
High operating costs
Lack of (skilled) workforce

SOLUTION

ALL-IN-ONE solution:

AI & ML Algorithms
Own designed IoT Edge HW
Web-Based SW application
Cloud or in situ Data Analysis

VALUE

We deliver tangible benefits:

60% fewer breakdowns
35% lower costs
25% more productivity
5% energy saving

Maximizing Energy Infrastructure Resilience and Efficiency with Advanced Acoustic Monitoring and AI Analytics

30 % Extension of the Inspection Intervals on Wind Plants

PROBLEM

Costly wind farm periodic equipment checks, low reliability, and safety risks.

SOLUTION

AI-based remote, online, precise acoustic diagnosis with early signs of mechanical failures.

BENEFIT

Extension of the inspection interval by 30% without compromising safety and reliability; machine damage and downtime prevention.

Enhanced Operational Efficiency on Photovoltaic Inverters

PROBLEM

Traditional maintenance approaches are reactive and can result in unplanned downtime, reduced energy production, and increased maintenance costs.

SOLUTION

Using advanced AI and machine learning algorithms, this solution continuously monitors the inverters’ performance through acoustic and other relevant data.

BENEFIT

Extending the inspection interval without sacrificing safety and reliability,
Optimized maintenance scheduling.

Early Detection and Localization of Partial Discharge on Transformers

PROBLEM

Partial discharges in high voltage insulation systems can lead to blackouts in power networks.

SOLUTION

Using acoustic emissions, providing comprehensive diagnostics for transformers. The acoustic sensors are mounted on the external walls of power transformers, enabling non-invasive detection of partial discharge.