Polaron Analytics Contact Us
MatVerse platform on a laptop surrounded by software, cloud, dashboard and integration services

Home  /  Products  /  MatVerse

OUR TECHNOLOGIES

MatVerse

AI-Powered Scientific and Engineering Analytics

An integrated platform supporting advanced analytics, materials informatics, manufacturing inspection, polymer property prediction, and carbon capture performance forecasting.

OVERVIEW

One Platform for Materials and Engineering Data

MatVerse brings Polaron's artificial intelligence (AI) and computational modeling tools together in one easy-to-use platform. Engineers and scientists can manage data, run models, and review results in a single place.

Purpose-built modules address specific challenges, from inspecting additively manufactured parts to predicting polymer properties and forecasting carbon capture performance.

AT A GLANCE

Integrated data, models, simulation, and results
Specialized modules for materials and manufacturing
Interactive dashboards for clear, shareable insight
Web-based access for teams

PLATFORM MODULES

Built for Real Engineering Challenges

Each MatVerse module focuses on a specific materials or manufacturing problem.

Metal additive manufacturing part under a print nozzle, with defect heat map and layer-by-layer scan views
CLADMA

AI-enabled manufacturing inspection that helps detect defects and assess quality in additively manufactured parts. Deep learning models analyze build images and X-ray computed tomography (CT) scans to locate porosity, cracks, and other anomalies, so engineers can catch problem builds early.

Carbon capture plant beside a laptop showing the CO2CAP performance dashboard
CO2CAP

Forecasting of carbon capture performance to support materials selection and process decisions. Deep learning models trained on plant operating data monitor amine emissions and predict key performance indicators, helping operators anticipate process changes and run safer, more efficient capture units.

Layered polymer composite sheets and a flame test beside a laptop showing POLYCOMPRED fire property predictions
POLYCOMPRED

Prediction of polymer and composite properties to speed up materials design. Machine learning models predict flammability, helping researchers screen formulations before laboratory testing.

PLATFORM FEATURES

Everything in One Place

MatVerse connects the full workflow, from data to decisions.

Data Management

Organize projects and data in one secure place.

AI and Machine Learning Models

Apply trained models to new data with a few clicks.

Simulation

Run physics-based simulations alongside AI predictions.

Results and Dashboards

Visualize results and share clear insight with your team.