Real-Time Efficiency

Based in Colorado, Gaowave works with manufacturers on unplanned downtime and quality drift.

Due to separation between quality control, maintenance, and finance, operational efficiency metrics get logged in one system but not the other. The knowledge embedded through your systems and personnel doesn't get joined or worse yet, get lost. As a result, you can't price things like missing quality control specs or machine failures.

Gaowave provides you:

Diagnostics for machine stoppages
Improved batch adjustment recommendations for more efficient quality control
The power to evaluate which fix pays for itself

Contact: adam@gaowave.com

Product

Your maintenance and production systems go in. A costed failure ledger comes out.

Deliverables

A written attribution rule: which stoppage belongs to which asset, applied the same way every time.
Cross-functional costing: each failure priced across maintenance, production and quality.
Zero-latency recommendations: predictive tooling support alerts, so your data becomes operational.
An audit log that compounds: every recommendation and every operator call is logged. You will have a quality record your plant has never had before.
A repeatable method: your team runs it without me.

How it runs

Data structured first: the pipeline filters high-variance batches and normalizes inconsistent formats (Excel, SharePoint, SQL) before any recommendation is made.
Run in parallel: pipelines and recommendations run beside your existing systems.
No new data collection: everything starts from exports you already keep.

Where it fits

Measure, predict, allocate.
Pricing failures is what makes allocation possible.

Team

Adam Gao Founder

Education: B.S. in Physics, University of Toronto.
Background: Professional Data Scientist specialized in predictive modeling.

Hobbies include training MMA, playing jazz piano, sketching, reading history, and hiking.