Matter models for the physical & chemical · AI-accelerated evolutionary pathways

Deconstruct matter.
Build a better life.

At polyqolor, AI for Materials is the core engine of a self-driving "Design — Make — Measure — Learn" loop that pushes electronic materials R&D into a new era of long-horizon, efficient, high-throughput iteration.

4×Design · Make · Measure · Learn
Closed-loop pipeline
24/7Unattended
self-driving experiments
∞Data compounding
models that keep learning
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SELF-DRIVING LOOP

A self-driving R&D loop
Long-horizon · Efficient · High-throughput

AI Harness is the orchestration brain that stitches together computational design, automated synthesis, high-throughput measurement, and machine learning into an iteration loop that never sleeps—every cycle makes the next one smarter.

01

Computational Design

Generative models and physics simulation work together to search millions of molecular and formulation candidates in a directed way.

02

Automated Synthesis

Automated formulation, coating, and curing platforms execute the recipes with every parameter digitally traceable.

03

High-Throughput Measurement

Parallel testing pipelines feed structured performance data back into the system the same day.

04

Active Learning

Models update their understanding, then autonomously plan the next highest-value experiments—the loop keeps turning, day and night.

AI MATERIALS R&D CENTER

AI Materials R&D Center

Six capability pillars that accelerate the full journey from molecular design to pilot-scale validation.

High-Throughput Synthesis

Automated liquid handling, coating, and curing platforms prepare batches in parallel with fully digitized process records.

AUTOMATED SYNTHESIS

High-Throughput Measurement

Thermal, electrical, mechanical, and reliability test lines run in parallel, automatically structuring data into the central knowledge base.

MEASUREMENT

Materials Informatics

Neural networks and generative models learn the structure–property map and design materials backward from target specs.

MATERIALS INFORMATICS

Pilot-Scale Harness

Pilot coating and lamination harnesses translate lab formulations into production-ready process windows.

SCALE-UP

Reliability Evaluation

Systematic humidity, thermal shock, and long-term aging tests feed data back into the models to close the improvement loop.

RELIABILITY

Training Matter Foundation Models

Every experiment becomes a reusable data asset; models compound their advantage as the dataset grows.

MATTER MODEL TRAINING
PRODUCT MATRIX

Six product lines,
one R&D loop

Photosensitive dry film, BDF build-up dielectric film, prepreg, copper clad laminate, UV release tape, and low-peel-voltage protective film—covering the critical material nodes of PCB and advanced packaging.

APPLICATIONS

Building materials
for the next infrastructure

VISION
Turning materials R&D from the art of trial and error
into computation-driven engineering