Industry
Empowering Industrial experts with AI.
Monolith is cloud-based AI software built from the ground up for engineers with an intuitive, easy-to-use UI designed for quick adoption and time to results.
Get in touch with Monolith
“…The most common mistake people make is that they hire data scientists without bringing the subject matter experts along. Successful application of AI is a marriage of data and expertise right down to the granular level.”
- Vincent Higgins, Global Director Digital Transformation, Honeywell
Packaging Optimization Using AI With Aptargroup
In this exclusive customer webinar, Fabio di Memmo from Aptargroup & Monolith CEO Richard Ahlfeld talk about the value of Monolith’s no-code AI platform for packaging, and how to accelerate decisions from months to minutes.


Optimizing Particle Size and Shape Distribution From a Target Dissolution Profile With Nanopharm
A random forest regression model was trained to predict the mass dissolved at different time points from the size and shape of the particles, to a good degree of accuracy. The resulting Monolith dashboards enabled users to upload a target dissolution profile and return an optimized particle size and shape distribution that would produce the target dissolution profile.
The Next Generation of Smart Meters Using Self-learning Models
Using Monolith to investigate test data, users can combine, transform and build self-learning models inside our no-code AI platform that accurately predict flow rates for multiple material types, through devices such as valves with varying throughput capabilities such as radius, length, and other relevant device measurements.

Common Industrial engineering challenges
The time-to-market needs for industrial products and applications fail to meet customer expectations.
Exploring and understanding a design space for all potential use cases is a time-consuming and inefficient use of resources.
Case Study
The Next Generation of Pharmaceutical Development Using Self-Learning Models
A random forest regression model was trained to predict the mass dissolved at different time points from the size and shape of the particles to a good degree of accuracy. The resulting Monolith dashboards enabled users to upload a target dissolution profile and return an optimized particle size and shape distribution that would produce the target dissolution profile.
Talk to an expert
Talk to an expert
