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Monolith Platform
We empower engineers to solve their most intractable physics problems.

Monolith Platform

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Self-Learning Models

Self-Learning Models

AI Any Engineer Can Use

AI Any Engineer Can Use

Complement Existing Workflows

Complement Existing Workflows

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Read a commissioned study conducted by Forrester Consulting on behalf of Monolith

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The State of AI in Engineering

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We empower engineers to solve their most intractable physics problems.

About Monolith

Our Story

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Bring yourself to work

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Always be curious and open

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Think like an engineer

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Be in this together

Work smart not hard

Work smart, not hard

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Resources

Research Publications:
AI for Engineering

Browse, download, and share the research publications authored by our dedicated team of research scientists and engineers.

monolith research hub for technical papers and more
Concept Activation Vectors for Generating User-Defined 3D Shapes
Research paper
Concept Activation Vectors for Generating User-Defined 3D Shapes
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using autoencoders ml research paper
Research paper
Using Autoencoders & Output Consolidation To Improve ML Models for Turbomachinery Applications
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research paper 3
Research paper
A Mixed Categorical-continuous Data-driven Method For
Prediction & Optimization of Hybrid Discontinuous Composites
Performance
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3D XAI research paper monolith ai
Research paper
SpecXAI -- Spectral interpretability of Deep Learning Models
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