Anomaly detection & predictive maintenance in manufacturing

Use AI to fix machines before they breakdown

Current overview

The rise in the volume of data, increased connectivity, and the emergence of powerful analytics are driving disruption in the manufacturing industry. This digital transformation is aimed at achieving a singular goal — ensuring maximum machine availability. 1% improvement in productivity across the manufacturing industry can result in $500 million in annual savings.

"1% improvement in productivity across
the manufacturing industry can result in
$500 million in annual savings."

DataRPM

Key challenges & objectives
in manufacturing industry

01

Low assembly line uptime

02

Delayed service SLAs

03

Unplanned machine failure

04

Loss of warranty issues

05

Improve productivity

06

Increase revenue

07

Extend equipment life

08

Reduce scrap production

Brainalyzed Insight for anomaly detection in manufacturing

manufacturing

Use Brainalyzed Insight artificial swarm intelligence platform to achieve predictive maintenance by combining data from various sources such as IoT sensors, manufacturing operations data, environmental data to identify which machine components need replacement before they break down.

 

Brainalyzed Insight’s powerful AI algorithms look for patterns in data to generate predictions on the life span of the machines and their components within the environmental conditions. AI-based anomaly detection reduces your annual maintenance costs by 10%, reduces downtime and inspection costs by 25% respectively.

Future-proof your machines today.