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用AI驱动的材料信息学革新材料研发

Polymerize Labs™:基于云平台,通过AI洞察、数据驱动决策与可靠的安全性,加速材料发现。
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AI原生智能系统

利用可解释性AI加速开发
Polymerize Labs™ 不仅仅是预测结果——它更能解释每一项建议背后的“原因”,通过透明、可追溯的智能支持,赋能您的研发团队做出自信决策。
超越“黑盒” AI:您可以验证和信赖的智能我们的可解释性 AI 引擎将您的历史数据转化为战略武器,提供:
  • “白盒”预测 (Glass-Box Predictions) - 通过清晰可视化的特征重要性排名和决策路径,确切了解哪些参数在驱动结果。
  • 95%+ 准确率,100% 透明度 - 每一项预测都附带置信区间、影响因素以及类似的过往实验以供验证。
  • 上市时间加速3倍 - 从数百次的试错实验转变为仅需数天(而非数月)的针对性配方开发。
  • 仅需 25 个数据点即可实现突破 - 利用极少的历史数据即可开始获取可执行的预测,非常适合新型应用开发。
从原材料数据到面向市场投放的材料设计无论您是在优化聚合物共混物、开发生物基替代品,还是设计下一代复合材料,我们的平台都能提供:
  • 跨领域智能 - 将成功配方的经验迁移至不同的材料家族中。
  • 实时优化 - 随时调整参数并获取即时预测更新。
  • 合规就绪的文档 - 完整的审计追踪,展示 AI 建议如何导向最终配方。
您的研究人员不仅能得到答案——他们更能理解、信任并在此基础上构建成果。因为实现突破性创新需要AI与人类专业知识的协同工作。
AI
AI-Driven Formulation Development
Bypass months of trial-and-error with AI that predicts optimal material combinations before you mix a single batch. Our platform evaluates millions of potential formulations in seconds, identifying the precise combinations that deliver your target properties while minimizing costs and development time. It's like having a materials scientist with perfect recall of every experiment ever conducted.
From Millions of Possibilities to The Perfect MatchOur advanced AI engine revolutionizes how you approach formulation:
  • Multi-Objective Optimization - Balance competing properties (strength vs. flexibility, cost vs. performance) to find your optimal sweet spot
  • Inverse Design Capability - Start with desired properties and work backwards to the exact formulation recipe
  • Synergy Detection - Uncover non-linear interactions between components that traditional DOE would miss
  • Process-Property Mapping - Factor in temperature, mixing speeds, and curing conditions for complete formulation control
Precision That Pays Off
  • First-Time-Right Formulations - Reduce reformulation cycles by 75% with AI that learns from every experiment
  • Cost-Optimized Solutions - Find formulations that meet specs while minimizing raw material costs
  • Scale-Up Confidence - Predict how lab formulations will perform at production scale
Our AI illuminates the entire formulation landscape, showing you not just what works, but what works best - backed by explainable insights that your team can build upon.
XAI
Explainable AI Insights
Our explainable AI provides complete transparency - from feature importance rankings to causal relationships to confidence intervals. Your R&D team sees not just what the AI predicts, but exactly how it arrived there, turning every recommendation into a learning opportunity and every prediction into a stepping stone for innovation.
  • Feature Attribution Maps - Visualize exactly how each ingredient, parameter, and process variable contributes to the predicted outcome
  • Causal Pathway Analysis - Trace the logical connections from input parameters to performance predictions, understanding the "because" behind every "therefore"
  • Confidence Scoring - Know when to trust predictions completely (95%+ confidence) versus when additional validation might be warranted
  • Historical Precedents - See similar successful formulations that support the AI's reasoning, with direct links to source experiments
Empowering Scientists, Not Replacing Them
  • Hypothesis Validation - AI explanations either confirm your team's intuitions or reveal surprising insights worth investigating
  • Knowledge Transfer - Junior scientists learn from AI explanations that encode decades of collective R&D wisdom
  • Anomaly Detection - Understand why certain predictions differ from expectations, often revealing new scientific phenomena
When your team understands the reasoning, they don't just follow recommendations - they build upon them, refine them, and push boundaries even further. That's the difference between AI that dictates and AI that collaborates.
Faster Discovery
Faster Discovery Cycles
Our intelligent platform compresses years of iterative testing into weeks of targeted development, dramatically accelerating your path from concept to commercialization while preserving capital for what matters most - scaling winning formulations.
  • Parallel Hypothesis Testing - Evaluate multiple formulation strategies simultaneously through virtual screening
  • Failure Fast-Tracking - Identify dead ends after 3 experiments instead of 30, redirecting resources to promising paths
  • Knowledge Accumulation - Every experiment enriches the AI, making subsequent predictions even more precise
Real Impact, Real SavingsTime Saved:
  • Formulation optimization: 12 months → 5 months
  • Scale-up validation: 12 weeks → 6 weeks
  • Regulatory documentation: 4 weeks → 1 week
Resources Preserved:
  • 50-70% reduction in raw material waste
  • 60% fewer person-hours per project
  • 75% less equipment time occupied
  • 40% reduction in overall project costs
Strategic Advantages:
  • Get to the market by months
  • Pursue 2X more projects with the same team
  • Respond to customer requests in days, not months
  • Build IP portfolios faster with rapid iteration

産業別アプリケーション

高分子、化学品、先端材料などの産業において、PolymerizeはAIの力で材料開発を革新。サスティナブルな高分子の設計や高機能複合材料の性能最適化など、コストと開発期間を大幅に削減しながら、革新を加速します。次世代バッテリー、環境対応型包装材、機能性化学品の開発にも対応可能です。
高分子材料优化兼具耐久性、柔韧性与环境适应性的配方
高分子材料
“我们已成功在REHAU集团内部导入Polymerize并取得了出色成果。我们相信它同样可以为我们的合作伙伴创造价值,因此我们与Polymerize建立了战略合作关系。”Dr. Stefan Girschik, CEO of Meraxis Group
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Labs - Key Features

Designed for Scientists Powered by AI

AI Engine
AI Engine
Stop guessing which combinations might work. Our predictive AI has already run millions of virtual experiments, learning from every success and failure to pinpoint exactly which experiments will deliver your target properties before you mix a single batch.
From Uncertainties to Precise PredictionsOur AI masters the complexity that overwhelms traditional approaches:
  • Multi-Component Intelligence - Optimize formulations with 20+ ingredients, understanding how co-polymers, curing agents, and additives interact at the molecular level
  • Processing Parameter Integration - Factor in temperature profiles, mixing sequences, and curing conditions for complete formulation prediction
  • Batch-to-Batch Consistency - Predict not just performance, but reproducibility and stability across production runs
  • Supply Chain Resilience - Instantly identify alternative formulations when key ingredients become unavailable
What our predictions deliver:
  • Exact Quantities - Not just which ingredients, but precise ratios down to 0.01 %
  • Performance Outcomes - Complete property predictions including tensile strength, thermal stability, and processability
  • Risk Assessment - Probability scores for meeting each specification requirement
  • Cost Optimization - Achieve targets with the most economical formulation possible
Our AI Engine has perfect recall of every experiment, understands every interaction, and predicts every outcome with higher accuracy. Input your requirements. Get your optimal formulation. Skip the guesswork.
Explainable AI Insights
Explainable AI Insights
See exactly how every ingredient, process parameter, and condition impacts your outcomes through clear visualizations and explanations. Our explainable AI shows its complete reasoning - from feature importance to interaction effects to confidence levels - ensuring your team never has to guess why a recommendation was made.
Transform complex algorithms into clear, actionable intelligence that your entire team can understand and trust.
No more blind faith in black-box predictions. Our transparent AI system explains every decision pathway, showing you why it will work - turning your scientists from AI skeptics into AI champions.
Complete TransparencyOur explainable AI delivers insights through multiple avenues:
  • Visual Impact Analysis - Interactive charts reveal how each parameter influences your target properties, from strongly negative to strongly positive impacts
  • Feature Importance Rankings - Instantly see which variables matter most
  • Decision Tree Visualization - Follow the AI's logic step-by-step, understanding how it weighs trade-offs between competing properties
  • Sensitivity Analysis - Discover which parameters offer the most leverage for optimization and which provide stability
What transparency enables:
  • Rapid Hypothesis Testing - Validate or challenge the AI's reasoning with your domain expertise
  • Knowledge Discovery - Uncover non-intuitive relationships (like how rotor speed affects tensile strength)
  • Risk Mitigation - Identify which parameters need tight control versus those with wider acceptable ranges
  • Team Alignment - Everyone from lab technicians to executives can understand the rationale
Trust Through Verification:
  • Cross-reference AI insights with physical principles
  • Compare predictions against historical successes
  • Validate reasoning through targeted experiments
  • Build confidence through consistent accuracy
When your team understands the "why," they don't just operate - they progress toward innovating. They spot opportunities that AI might miss. They are prepared to ask better questions. And they push boundaries with confidence. That's the multiplier effect of truly explainable AI.
Experiment Optimization
Experiment Optimization
Stop losing insights in departmental silos. Our platform translates breakthroughs across disciplines instantly. Whether it's co-polymers, plastomers, additives, or curing agents, every piece of data enriches the whole, turning your diverse R&D efforts into a unified innovation engine.
Cross-Disciplinary Data Integration
Cross-Disciplinary Data Integration
Stop losing insights in departmental silos. Our platform translates breakthroughs across disciplines instantly. Whether it's co-polymers, plastomers, additives, or curing agents, every piece of data enriches the whole, turning your diverse R&D efforts into a unified innovation engine.
Our platform connects everything:
  • Universal Material Library - All ingredients, materials, processing parameters, characterization methods, testing standards - searchable, comparable, and combinable in one system
  • Cross Intelligence - Apply learnings from polymer formulations to ceramic processing, or coating insights to adhesive development
  • Multi-Scale Integration - Connect molecular structures to bulk properties to application performance across all material classes
The power of connected knowledgeBreakthrough Capabilities:
  • Hybrid Material Development - Combine polymer expertise with ceramic properties for next-gen composites
  • Accelerated Technology Transfer - Solutions from one domain instantly accessible to all teams
  • Pattern Recognition Across Boundaries - AI identifies successful strategies that transcend material categories
  • Unified Quality Standards - Consistent testing and validation across all material types
Every experiment enriches the entire ecosystem, creating a compound knowledge effect that accelerates with each project.
SEM Image Analysis
SEM Image Analysis
Instantly extract particle sizes, distributions, morphologies, and surface features from SEM images with high accuracy. Our platform analyzes thousands of particles in seconds, turning subjective visual inspection into objective, quantitative data that directly fits into your formulation decisions.
Turn thousands of SEM images into actionable data with automated analysis that sees what human eyes miss. Our AI platform converts visual characterization into precise metrics, accelerating material understanding while eliminating subjective interpretation.
Our advanced image analysis delivers comprehensive insights:
  • Particle Size Distribution - Automatically measure thousands of particles, generating complete diameter distributions (5-55 μm range) with statistical confidence
  • Morphology Quantification - Characterize sphericity, roughness, aspect ratios, and surface features with nanometer precision
  • Porosity Analysis - Detect and quantify voids, calculate pore size distributions, and determine interconnectivity
  • Surface Texture Mapping - Extract roughness parameters, identify defects, and correlate surface features with performance
From Manual Hours to Automated InsightsTraditional Approach:
  • 2-3 hours manually measuring 50 particles
  • Subjective interpretation varies between operators
  • Limited statistical significance
  • Missed subtle features
Polymerize Platform:
  • 30 seconds to analyze 10,000+ particles
  • Consistent, reproducible measurements
  • Full statistical distributions with confidence intervals
  • AI detects features invisible to human analysis
Advanced Capabilities:
  • Multi-Scale Analysis - Correlate features from 10nm to 1mm automatically
  • Batch Processing - Analyze hundreds of images simultaneously
  • Quality Control Automation - Flag out-of-spec particles instantly
  • Structure-Property Correlation - Link morphology directly to material performance
Our AI analyzes your entire SEM dataset while you design the next experiment. Converting qualitative observations into quantitative specifications that drive formulation decisions and quality standards.
PolyGPT
PolyGPT
PolyGPT reads scientific literature like a PhD researcher but works at machine speed. Upload papers, patents, technical reports, or images - get structured data, extracted formulations, and experimental parameters ready for your next project. Transform weeks of literature review into hours of strategic planning, ensuring every published insight informs your innovation pathway.
From Literature Chaos to Structured KnowledgePolyGPT masters the complexity of scientific information:
  • Intelligent Document Analysis - Upload papers, patents, or case studies and extract formulations, processing conditions, and performance data automatically
  • Image-to-Data Conversion - Transform graphs, charts, SEM images, and spectra into quantitative datasets ready for analysis
  • Cross-Reference Synthesis - Connect findings across multiple papers to identify trends, contradictions, and opportunities
  • Experimental Data Mining - Extract specific parameters buried in methods sections, supplementary materials, and figure captions
Your Scientific Literature Power ToolWhat PolyGPT Extracts:
  • Formulation Recipes - Component ratios, concentrations, and preparation methods from research papers
  • Processing Parameters - Temperature profiles, reaction times, and equipment specifications from patents
  • Performance Metrics - Mechanical properties, thermal data, and characterization results from case studies
  • Structure-Property Relations - Correlations and mechanisms described across multiple sources
Real Research Acceleration:
  • Literature review: 2 weeks → 2 hours
  • Data extraction from 50 papers: 3 days → 30 minutes
  • Patent landscape analysis: 1 week → 1 day
  • Competitive intelligence gathering: Manual (hard) → Automated (comprehensive)
Smart Planning Features:
  • Experiment Design Assistant - "Based on these 5 papers, design an optimization study"
  • Gap Analysis - "What conditions haven't been explored in this elastomeric sealing literature?"
  • Method Validation - "Compare our approach with published best practices from the reports"
  • Prior Art Search - "Find all similar formulations in patent literature"
PolyGPT ensures no critical insight stays buried in supplementary information or overlooked figures.
客户评价

获得行业领先者的信任

真实案例,客户满意 🥰

我们已成功在REHAU集团内部导入Polymerize并取得了出色成果。我们相信它同样可以为我们的合作伙伴创造价值,因此我们与Polymerize建立了战略合作关系。

Dr. Stefan GirschikCEO of Meraxis Group
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benefits
投资回报周期90天
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您的研究始终安全

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托管于AWS,符合SOC 2及ISO 27001 - ISO 27017 - ISO 27018认证标准。
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