- Instantly predict the performance and/or quality of new 3D designs through visual data
- Generate performance-optimized 3D designs with AI adoption
- Have the confidence to cut long transient simulations short by predicting the remaining time steps with an AI model
- Create effective test plans informed by historical data, raw data, training data, structured data or even unstructured data
- Detect if sensors aren't mounted or connected properly for data preparation
- Re-adapt test plans on the fly with custom models and enable users
- Quickly identify and correct drift in measurements with our AI models
- Know when enough data has been captured for results to be gathered from no-code AI platforms
- Identify patterns and dependencies to better understand complex engineering systems with machine learning models
- Provide customers with instant quotes for the performance of products in new configurations on a no-code AI platform
- Accurately calibrate measuring devices across a range of operating conditions
- Get your products certified quicker with accurate business data through machine learning and a no-code AI approach
- Predict readings from missing or broken sensors using AI models
- Understand how objective performance indicators will affect the subjective experience of your end customers or business users through AI models
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“Monolith allowed us to understand and optimize the gas meter's behaviour for all operating conditions and optimize meter accuracy under extreme conditions, allowing us to build a superior, more accurate product in a much shorter amount of time.”
“Monolith Team understood what it means to work with genuine engineering problems in artificial intelligence: the needed flexibility and knowledge. ”
“The Monolith engineering team are unique experts in the field of solving scientific problems with machine learning. I trust them to guide our team to get the greatest ROI from AI and magnify our engineering talent and expertise. ”
“With Monolith’s machine learning method, we not only solved the challenge, we also reduced design iteration times and prototyping and testing costs. We are thrilled with the results, and we are confident we have found a way to improve future design solutions.”
Use your engineering data to create accurate self-learning models, deploy AI models, and quickly understand and instantly predict the performance of your complex system through model performance — under more operating conditions than you ever imagined.
After importing your data, build a no-code AI model that correlates inputs (design variables and operating conditions) and outputs (design performance or quality) for an end-to-end process.
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To ensure your model can accurately predict the performance of your complex Engineering system, Monolith has a host of no-code AI tools to evaluate its quality.
Instantly predict the performance or quality of a new design under new conditions with our no-code AI tools and computer vision dashboard, instead of having to carry out expensive physical tests.
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Get a measure of prediction uncertainty through our no-code AI tool, to build trust in your AI model and identify regions of your design space where data may be sparse or volatile.
Query your AI model to quickly find the best designs and operating conditions (inputs) that satisfy target performance metrics (outputs) and constraints with our no-code AI tool.
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Rank the design variables and test conditions that most affect product performance, to know where to concentrate your data science, design, and engineering efforts with our no-code AI tool.
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Instantly predict the performance of new 3D CAD designs without data science resources using our no-code ai tool. Predict entire 3D fields of data. Generate new, performance-optimized 3D designs with AI.
Monolith is cloud-based AI software built for engineers. No coding or PhD in statistics is required — just your Engineering expertise and test data.
Our 'point and click' interface allows you to quickly build a data processing pipeline: a sequence of steps to explore, transform, and model your data.
Quickly identify the AI model best tuned for your use case, by getting Monolith to automatically evaluate and rank dozens of options for you.
Our interactive tutorials will help familiarize you with Monolith's functionality, guiding you through a series of engineering problems solved with AI.
Learn more about AI and Monolith through our FAQ and knowledge base. Submit support request tickets. Give us feedback and ideas for improvement.
Monolith is not a replacement to the Engineering expertise you've spent decades perfecting. Instead, it complements and accelerates your existing workflows.
Connect Monolith directly to where your data is stored. Upload and manage raw data files. Call Monolith dashboards and models from your environments.
Use your domain knowledge to transform your raw data and select the most relevant variables for building and using AI models.
Monolith includes data transformation tools to resample and extract features from time-dependent data, such as sensor measurements.
Import, visualize, transform, and model 3D data (CAD geometry, mesh surfaces, point cloud or simulation fields) to unlock the application of AI to 3D use cases.
To facilitate effective decision-making, build AI solutions collaboratively and deploy them such that insights are easy to interpret and use in production environments.
Our interactive dashboards allow you to share your results in a way that makes them interpretable and reusable by your colleagues or clients.
All you need to use Monolith is a laptop and Wi-Fi. Log in through your web browser, access shared notebooks and dashboards, and benefit from scalable cloud-based compute power.
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Create teams of users within the platform. Invite new users to a team. Assign administrators. Isolate data, notebooks, and models from others.
