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Polymerize's Official Collaboration with Maxell Ltd

Polymerize has officially announced its collaboration with Maxell Ltd. through the Polymerize Labs platform, enabling us to assist Maxell Corporation in its new product development efforts. This partnership represents a significant milestone in our expansion within the Japanese market.

CC: Following Link is in Japanese Only

We are thrilled to announce that Polymerize, the global AI material informatics platform, is expanding its presence to Japan. Our goal is to assist chemical companies in building their innovation pipeline and drive advancements in material discovery.

Our ultimate mission is to serve as catalysts for chemical companies, aiding them in constructing a robust innovation pipeline. To bring this ambition to life, we have proudly introduced Polymerize Gōdō Kaisha (Polymerize 合同会社), a dedicated entity designed to foster seamless collaboration with the forefront of Japanese chemical firms. This union is poised to revolutionize the industry by propelling digital transformation efforts leading to faster and efficient development towards an unparalleled innovation.

As a cloud-based SaaS platform, we leverage our cutting-edge technology to help RD teams accelerate product development by up to 50% while reducing operational costs. Our proprietary AI Engine and data management system empower our clients to predict stable formulations and optimize experiments, ultimately saving valuable time and resources.

Our co-founder and CTO, Abhijit Vijay Salvekar, who has a strong background in polymer science, has designed Polymerize's features to address practical challenges faced in experimentation. We are committed to deepening our relationships with our Japanese customers and remaining at the forefront of materials discovery, as emphasized by our co-founder and CEO, Kunal Sandeep.

Our rapid growth has recently been bolstered by a Series A funding of US$4.3 million led by Elevation Capital, reaffirming our position as a key player in the industry, ready to reshape the future of materials science. Companies worldwide, including those in North America, Singapore, India, and Japan, are utilizing our Polymerize Labs and Polymerize Connect platforms to enhance their material development processes. 

In the world of material science startups, innovation is key. These startups work with cutting-edge materials and new ways of processing them, and early stage tech support can be crucial to their success.

Tech support can help ensure that operations run smoothly and efficiently by providing startups with state-of-the-art simulation software, data analysis tools, and modelling software. This can give startups a significant edge over their competitors and help them bring new and exciting products to market more quickly and effectively.

Polymerize is a cloud-based material informatics platform that is specifically designed to help R&D teams in material companies manage their experimental data, collaborate across different geographies, and generate Al-based recommendations for new formulations and alternative ingredients with desired properties, overall reducing their R&D costs while accelerating the time-to-market.

This platform has been widely adopted and extensively used across various materials domains ranging from elastomer seal manufacturers to Aerogel insulation board manufacturers.

The platform offers:

A comprehensive data management

An AI recommendation enginefor predicting formulations, processing conditions, and properties

Design of experiments

Collaborative workflow management

Polymerize understands the challenges that material startups face, such as limited capital, resource constraints, market competition, and aggressive timelines.

That’s why Polymerize is pleased to offer a tailor-made solution explicitly catered for your domain, size, and business needs that can help your company achieve more at a fraction of the cost.

Polymerize’s benefits for Material startups include:

A startup-friendly offer of 1-year free subscription eligible only to companies that have raised funding up to USD $2 million,

An additional referral bonus of USD $5000 for when your referral onboards with us as a new customer,

Additional credits of USD $500 for writing a review,

50% off on annual subscription renewal in the second year,

A dedicated technical expert as a point of contact from the Polymerize team,

Free credits usage to avail consultation support,

Lifetime access to an exclusive knowledge hub in the form of case studies, whitepapers, and articles.

In conclusion, breakthroughs in material science will come from leveraging experimental data to harness deep insights across various applications, materials, processing conditions, and outcomes. With Polymerize, you can take the first step towards smarter R&D solutions.

To register for the start-up offer, please fill out the form — Link

In the world of material science startups, innovation is key. These startups work with cutting-edge materials and new ways of processing them, and early stage tech support can be crucial to their success.

Tech support can help ensure that operations run smoothly and efficiently by providing startups with state-of-the-art simulation software, data analysis tools, and modelling software. This can give startups a significant edge over their competitors and help them bring new and exciting products to market more quickly and effectively.

Polymerize is a cloud-based material informatics platform that is specifically designed to help R&D teams in material companies manage their experimental data, collaborate across different geographies, and generate Al-based recommendations for new formulations and alternative ingredients with desired properties, overall reducing their R&D costs while accelerating the time-to-market.

This platform has been widely adopted and extensively used across various materials domains ranging from elastomer seal manufacturers to Aerogel insulation board manufacturers.

The platform offers:

A comprehensive data management

An AI recommendation enginefor predicting formulations, processing conditions, and properties

Design of experiments

Collaborative workflow management

Polymerize understands the challenges that material startups face, such as limited capital, resource constraints, market competition, and aggressive timelines.

That’s why Polymerize is pleased to offer a tailor-made solution explicitly catered for your domain, size, and business needs that can help your company achieve more at a fraction of the cost.

Polymerize’s benefits for Material startups include:

A startup-friendly offer of 1-year free subscription eligible only to companies that have raised funding up to USD $2 million,

An additional referral bonus of USD $5000 for when your referral onboards with us as a new customer,

Additional credits of USD $500 for writing a review,

50% off on annual subscription renewal in the second year,

A dedicated technical expert as a point of contact from the Polymerize team,

Free credits usage to avail consultation support,

Lifetime access to an exclusive knowledge hub in the form of case studies, whitepapers, and articles.

In conclusion, breakthroughs in material science will come from leveraging experimental data to harness deep insights across various applications, materials, processing conditions, and outcomes. With Polymerize, you can take the first step towards smarter R&D solutions.

To register for the start-up offer, please fill out the form — Link

Polymerize: AI Engine Solutions for Material Science and Informatics

Al engine is a powerful pattern recognition and learning tool. Polymerize AI Team developed each segment keeping the material science industry in mind and curated algorithms and processes to meet the needs of R&D Scientists. Keeping up with artificial intelligence (AI), Data Science and Analytics helps the industry to create robust data-driven systems for achieving desired USPs. With the Curated learning and optimized algorithms that comprehensively meet growing market demands, the AI engine helps research and development (R&D) scientists to gain fruitful insights. Utilizing technologies like Polymerize, data analytics, and machine learning resources to ensure that there is an adequate data-driven innovation/AI-driven approach to innovation. By utilizing AI-powered material informatics and data management solutions, clever industries have infinite potential to prosper in innovative materials and material design.

Polymerize for our Customers:

The emphasis of R&D is to seek new technologies, integrate them into the business area, and develop strategies around them that can be transformed into technology or products. R&D is the growth engine for any business. To meet the R&D goals, Polymerize provides a workspace for efficient and streamlined pipelines and structured roadmap for product development. By speeding up research with ML, unnecessary tests are eliminated, and the finest formulations with the desired properties are forecasted, and vice versa. The researcher can get insights with less experience in material design  using Al/ML models to acquire more accurate data.

The R&D departments frequently produce breakthroughs that are either too advanced or too late. They just fail to seize the market nerve instantly. Despite being the most prevalent, this element causes significant losses financially as well as in time and effort. Polymerize's data management and data sharing functions aid in internal connectivity. Machine learning (ML) will quicken R&D operations in the proper direction in harmony with customer needs by understanding market demands and detecting early industry trends.

Polymerize features seamless integration to Laboratory data management solutions, serving the customer with micro-level learning and macro-level impact. Through Polymerizes’ integrated workflows and an agile learning and feedback loop, one can use AI to identify all historic datasets and achieve the desired goal at each stage of the development process.

AI Engine at Polymerize :

The Al engine is powered by a thoughtfully articulated and fine-tuned set of reliable, consistent, high-performance predictive algorithms created by our team of AI Research Scientists and Engineers. The engine focuses on understanding and solving the core challenges of the Material Science domain making sure the AI does not work as a black-box instead is in sync with the theoretical and academic understanding of the field with domain expertise adding value at each granular level.

The complex, interconnected, dependent, linear, and non-linear interactions between chemicals and processes that enable the material sciences industry to develop revolutionizing materials can be recognized and understood using statistical ML algorithms, ensembles, neural networks, and reinforcement learning algorithms. The AI Engine also feeds on domain-specific theoretical frameworks, concepts, and features like PSP relationships, compound attributes, physiochemical properties, and functional relationships in addition to the recorded experiment data shared by our customers and the data extracted from patent and scientific literature. AI reliably and accurately accelerates the R&D effort by layering highly complex models and extensive domain expertise.

Polymerize Exclusive Features of the AI engine :

Forward Prediction

The forward prediction includes the prediction of properties based on formulation/process parameters and vice versa. Our AI powered platform predicts the combination of formulation in high precision with as low as 25 data points. The integration, selection, ranking, and filtering of numerous traditional ML and AI models that are examined on various performance criteria over numerous iterations results in reliable and superior performance. The various models include linear, random forest, X-boost, gaussian process regressions, etc.  At the Individual stage of the procedure, the best-fitted model was validated at every designed checkpoint. Polymerize supports incremental learning and re-learning with every newly performed experiment, and the platform automatically integrates the new data with existing models. 

As walking toward the new product design, many R&D face the challenge of limited existing knowledge of formulation. Polymerize with as low as 25 data points are fed to the AI engine with the domain expertise backed, and features like process-structure-properties (P-S-P) relationship, atomic properties of chemicals, metadata about the ingredient, contextual processing of experiments have gained the interest of industries. The fetched data from the open-sourced database, designed by Polymerize experts, digital data platforms, and scientific literature, make the AI engine even more precise with the low data set. With the data and domain-centric approach for building AI, the platform provides careful support of external data to customer data by complementing individual shortcomings based on size, complexity, relevancy, and availability. The systematic and synchronous mix of data from multiple sources guarantees repeatability and relevancy for long-term usage.

Inverse Prediction

With the increasing demand for innovative materials, Polymerize supports the industry leaders by providing insights into materials and manufacturing processes. The platform is not only limited to formulation development and predicting properties for cutting down the experiments but also to achieving the defined properties/objectives by conducting AI-optimized experiments. The inverse prediction module has a broad focus on utilizing the relationships and consequences discovered by AI/ML models to develop experiments that are customized to fulfill business goals. The Inverse Module recommends AI-curated, optimized experiments that meet critically specific outcomes demanded by the customer. The recommendations are derived by using state-of-the-art Optimisation algorithms deeply rooted in the fundamental sciences of genetic evolution, bayesian statistics, and molecular theory.

The module can handle multiple objectives simultaneously, confine the bootstrap experiment sequence, and identify the sweet spot.

Data  Summary and Analysis

The detailed insights of every performed experiment to understand the data and the interrelationship of the formulation. The data is considered to be the most precious food in the cuisine, and the detailed quantitative and qualitative analysis helps R&D business material scientists to design product formulation according to the customer's taste by providing them with tabular analysis, interactive charts, and descriptive statistics.

The Correlation Heatmaps, as our powerful features, mapped the experimental learning with data-based learning. With the insights of these world-class products, Polymerize is one of the best business intelligence software. Statistical plots of distribution, composition, comparison and relationships conveniently provide messages visually to research and development scientists that help them to further improvise the experiments.  The AI/ML models of Polymerize work with (a high degree of variability (vast range of composition) work previously with as low as 25 data points. The Data summary module can communicate the quality and data to be modeled with the AI engine.

Explainable AI

Polymerize is aware of the fact that ML/AI models can memorize data and predict experiments based on the desired objective, but as we understand the research and development need, Polymerize also provides a strategically developed explainable AI engine that reveals the explainability behind predictions, not just the ANSWER, but an explanation of it.

Polymerize employs various techniques to unlock the mystery of ML models’ black box, including Game Theory approaches, Monte Carlo Simulations and other state of the art explainability algorithms.  The micro-learning for each relationship is validated using theory, research, and experience to understand and fully develop trust in the models.

The aforementioned powerful features of Polymerize are interpreted with the learning quantitatively by gaining positive/negative impact at the ingredient-process-property level.

Let the AI Engine do the Hard Work

Fastest-Growing Material Informatics Platform in Asia

Do you lose visibility of historical data?

Do you waste resources on multiple failed experiments?

Do you take a longer time for new material discoveries?

Do you face poor work collaboration?

We have an amazing solution to all your problems - Polymerize Labs

An AI Catalyst for Material Innovation, on a mission to revolutionize the material Industry.

Polymerize provides a cloud-based material informatics platform that helps RD teams in material companies efficiently manage their experimental data, get the AI-recommended formulations, and material properties, and reduce their overall RD costs while accelerating their go-to-market.

Our product has proven to expedite formulation development by 3X while saving more than 40% on RD costs. 

We are solving everyday RD Challenges and Accelerating formulation development at all stages.

Let us take you through the key functions of our platform:

Project Management

Work orders and formulation insights

Data Management 

Design of experiments

AI engine recommendations

Our in-built data management feature helps to eliminate spreadsheets, and scattered databases with a single unified workspace, empowering the RD team with powerful data insight to discover operational issues, and blind spots, and make better data-driven decisions with complete visibility. Spend less time collating data and conducting analysis manually. Get real-time project status updates, and industry news and collaborate with the geographically distributed team to drive research together in a digital environment.

Polymerize provides a feature in terms of the Design of Experiments that enables researchers to sample larger multidimensional parameter space in a rational manner. This methodology proves to give faster and higher fidelity exploration of new processes, as well as optimization conditions. Combining ‘the design of experiments with machine learning analysis dramatically improves the current process and accelerates new material discoveries.

Polymerize also acts as a catalyst in new product development by providing AI-powered machine learning technologies which exponentially accelerate breakthrough discoveries in material science, predict formulations, and material properties, and eliminate trial-and-error methodologies. Our AI engine scales with you, learn with you, and is designed to become your trusted partner. 

You might be having some more questions like- 

What is the return on investment?  

Polymerize Labs will reduce the number of experimental trials for optimizing the process. This will reduce the investment cost and time by guiding the researchers toward the most likely experiments with a domain-specific data-driven path.

How is the data security? If we stop using your product, what will happen to our data?

Security is at the core of how we operate at Polymerize. Polymerize Is Now SOC 2 Type II Compliant and ISO 27001 certified in the Global Standard for Information Security Management Systems, providing enterprise-grade security for all your data and results. Your data will always be encrypted across our data storage and Virtual Private Cloud (VPC).

Will your product take a longer time to adopt?

Polymerize Labs is an easy-to-adopt platform by ingesting the spreadsheets in any structure through our in-built data handling functions.

Power your RESEARCH with smarter RD solutions.

Better data. Faster Innovation. Accurate Predictions.

Not our words, but those of our clients.

Power your Material Research with the fastest-growing Material Informatics platform in Asia.

Book a demo with us! 

Fastest-Growing Material Informatics Platform in Asia

Do you lose visibility of historical data?

Do you waste resources on multiple failed experiments?

Do you take a longer time for new material discoveries?

Do you face poor work collaboration?

We have an amazing solution to all your problems - Polymerize Labs

An AI Catalyst for Material Innovation, on a mission to revolutionize the material Industry.

Polymerize provides a cloud-based material informatics platform that helps RD teams in material companies efficiently manage their experimental data, get the AI-recommended formulations, and material properties, and reduce their overall RD costs while accelerating their go-to-market.

Our product has proven to expedite formulation development by 3X while saving more than 40% on RD costs. 

We are solving everyday RD Challenges and Accelerating formulation development at all stages.

Let us take you through the key functions of our platform:

Project Management

Work orders and formulation insights

Data Management 

Design of experiments

AI engine recommendations

Our in-built data management feature helps to eliminate spreadsheets, and scattered databases with a single unified workspace, empowering the RD team with powerful data insight to discover operational issues, and blind spots, and make better data-driven decisions with complete visibility. Spend less time collating data and conducting analysis manually. Get real-time project status updates, and industry news and collaborate with the geographically distributed team to drive research together in a digital environment.

Polymerize provides a feature in terms of the Design of Experiments that enables researchers to sample larger multidimensional parameter space in a rational manner. This methodology proves to give faster and higher fidelity exploration of new processes, as well as optimization conditions. Combining ‘the design of experiments with machine learning analysis dramatically improves the current process and accelerates new material discoveries.

Polymerize also acts as a catalyst in new product development by providing AI-powered machine learning technologies which exponentially accelerate breakthrough discoveries in material science, predict formulations, and material properties, and eliminate trial-and-error methodologies. Our AI engine scales with you, learn with you, and is designed to become your trusted partner. 

You might be having some more questions like- 

What is the return on investment?  

Polymerize Labs will reduce the number of experimental trials for optimizing the process. This will reduce the investment cost and time by guiding the researchers toward the most likely experiments with a domain-specific data-driven path.

How is the data security? If we stop using your product, what will happen to our data?

Security is at the core of how we operate at Polymerize. Polymerize Is Now SOC 2 Type II Compliant and ISO 27001 certified in the Global Standard for Information Security Management Systems, providing enterprise-grade security for all your data and results. Your data will always be encrypted across our data storage and Virtual Private Cloud (VPC).

Will your product take a longer time to adopt?

Polymerize Labs is an easy-to-adopt platform by ingesting the spreadsheets in any structure through our in-built data handling functions.

Power your RESEARCH with smarter RD solutions.

Better data. Faster Innovation. Accurate Predictions.

Not our words, but those of our clients.

Power your Material Research with the fastest-growing Material Informatics platform in Asia.