Solutions that drive value for CPG plants
Lock in profits with live optimization insights
Traditional process optimization projects can take months. And they only work under pre-defined circumstances.
Fero Lab's white-box machine learning algorithms instantly analyze current and past production data to discover the most efficient process settings, taking into account any sources of variation. What used to take you months can now be done in minutes.
You don't have to take our word for it--all models automatically quantify uncertainty to give you confidence in your results, even in unseen operating conditions.
![Solutions that drive value for CPG plants](https://craft-ferolabs.transforms.svdcdn.com/production/machines.png?w=684&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1707432363&s=a37c20e400b23934617a5edf3f785ef3 684w)
Failure detection before it's too late
A failed batch of CPG products can cost thousands of dollars to replace. It also takes up hours on the production line that could have been spent on mixing new products.
With Fero Labs, operators receive alerts that a batch will fail hours ahead of time.
Our machine learning algorithms even tell them how to change their operating parameters to fix the uncovered issues, so they can step in and adjust before it's too late. Flawed products no longer have to be reworked and shipped, saving your time, costs, and reputation.
![Data analytics for manufacturing and industrial plants](https://craft-ferolabs.transforms.svdcdn.com/production/engineer.png?w=684&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1707432353&s=0a495861728d2e1eb52fb48a240c7bfc 684w)
Soft sensors continuously monitor emissions
Sustainability objectives are more important than ever. However, filling the gap between goals and tangible emissions reduction can be challenging.
Fero Lab's emissions blueprint is especially designed for plants to reduce emissions while simultaneously minimizing costs, preventing the usual prohibitive investment of the typical sustainability program.
Soft sensors allow you to keep ahead of tightening regulations and monitor NOx, SOx, and CO2 emissions continuously to ensure that you meet corporate sustainability goals.
![White-box machine learning algorithms](https://craft-ferolabs.transforms.svdcdn.com/production/data.png?w=684&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1707432352&s=f4309055b1eb680d8ebe93e4177f6f1d 684w)
Models quantify and prevent asset degradation
Understanding asset efficiency decreases can save maintenance teams the valuable time and effort of dealing with unplanned downtime. Yet many existing solutions will only detect anomalies.
Fero Labs goes beyond flashy predictive maintenance to take a more holistic approach to overall machine health.
Engineers can predict when heat exchangers, reactive catalysts, and other assets will no longer run optimally. They can also explore root causes of degradation to find the optimal maintenance window.
![Root Cause Analysis: Traditional RCA Methods vs. AI-Powered Solutions like Fero Labs](https://craft-ferolabs.transforms.svdcdn.com/production/AdobeStock_343709257_2024-07-25-171945_xqmj.jpeg?w=800&h=600&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1721927985&s=08b9736c8b6a2c0f23d8aec8a0073dec 800w)
Root Cause Analysis: Traditional RCA Methods vs. AI-Powered Solutions like Fero Labs
![Industrial AI: Adopt Now or Risk Obsolescence in the Manufacturing Race](https://craft-ferolabs.transforms.svdcdn.com/production/AdobeStock_55789081_2024-07-18-134957_gqlx.jpeg?w=800&h=600&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1721310599&s=9c8f00292fd80d7b52178b5272c40440 800w)
Industrial AI: Adopt Now or Risk Obsolescence in the Manufacturing Race
![First Principles vs. Industrial AI: Revolutionizing Process Optimization](https://craft-ferolabs.transforms.svdcdn.com/production/AdobeStock_21178365_2024-07-18-221136_boho.jpeg?w=800&h=600&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1721340696&s=4e75291f2135060b9e8575a8cade0188 800w)
First Principles vs. Industrial AI: Revolutionizing Process Optimization
![Data-Driven Decisions: How ML Outpaces APC in Modern Manufacturing](https://craft-ferolabs.transforms.svdcdn.com/production/ML-vs-APC_2024-07-17-162640_wrer.png?w=800&h=600&q=80&fm=webp&fit=crop&crop=focalpoint&fp-x=0.5&fp-y=0.5&dm=1721233600&s=ead7e73db9cc86ba333e3e1154afa885 800w)