customer stories
Render unlocks more reliable manufacturing with AI

About
Render is a modern manufacturing company producing precision components for industrial and commercial customers. Its facilities operate high-volume production lines where equipment reliability, quality control, and consistent output are critical.
Industry
Manufacturing
Company size
50-75 employees
Founded
2018
Challenge
Unexpected equipment failures were creating costly interruptions across Render's production facilities. Maintenance teams relied heavily on scheduled inspections and manual monitoring, making it difficult to identify problems before machinery failed.
As production volume increased, Render needed a more proactive way to maintain equipment without adding unnecessary maintenance cycles or disrupting output.
Approach
Vesper connected equipment data, maintenance records, and production history to identify patterns that could indicate potential failures before they affected operations.
The team focused on:
Automate recurring reports and approvals
Route incoming requests intelligently
Synchronize data between core systems
Flag exceptions for human review
This allowed maintenance teams to intervene earlier while avoiding unnecessary inspections.
Solution
Vesper introduced predictive monitoring across Render's critical production equipment, continuously analysing operational signals and identifying potential problems before failures occurred.
Render could now:
Automatically classify and assign requests
Generate reports from live data
Streamline routine approval processes
Surface operational issues instantly
Scale workflows without added complexity
Within eight months, Render significantly reduced unexpected interruptions while increasing production consistency across its manufacturing facilities.

“Unplanned downtime used to disrupt entire production schedules. Vesper helps our teams identify issues much earlier, giving us the time and information we need to act before they become expensive problems.”

Joseph Gibson
CEO, Render
Results
29%
Less production downtime
43%
Fewer unexpected failures
21%
Higher equipment efficiency
