Accelerating Bio-Based Materials Development with AI: Leading the Sustainability Race

Accelerating Bio-Based Materials Development with AI: Leading the Sustainability Race

Accelerating Bio-Based Materials Development with AI: Leading the Sustainability Race

September 26, 2024

The urgency of addressing climate change and the depletion of finite resources has driven a global shift towards more sustainable practices in the materials industry. Bio-based materials have emerged as one of the most promising innovations in this field. In addition, as general interest grows, many certifications and labels arise to structure the market and control quality for the new legislations put in place by public institutions. Indeed, new regulations - such as the single use plastic directive and the waste framework directive - were put in place to foster bio-based materials adoption by the industry. Beyond their environmental benefits, these materials are changing the rules and reshaping the landscape of resource dependency, sovereignty, technology, regulation and cost allocation. However, significant challenges arise at each stage of their development—from modeling, formulation, and characterization to prototyping and scaling up for large-scale production. 

Therefore, optimizing the development steps for bio-based materials is a critical challenge for the industry yet to be solved.

The implementation of AI presents an opportunity to catalyze R&D processes and scale-up phases in order to reach these ambitious goals faster. Below, you will see a specific use case where we assisted a Fortune 500 company in addressing their bio-based packaging production challenges.

The urgency of addressing climate change and the depletion of finite resources has driven a global shift towards more sustainable practices in the materials industry. Bio-based materials have emerged as one of the most promising innovations in this field. In addition, as general interest grows, many certifications and labels arise to structure the market and control quality for the new legislations put in place by public institutions. Indeed, new regulations - such as the single use plastic directive and the waste framework directive - were put in place to foster bio-based materials adoption by the industry. Beyond their environmental benefits, these materials are changing the rules and reshaping the landscape of resource dependency, sovereignty, technology, regulation and cost allocation. However, significant challenges arise at each stage of their development—from modeling, formulation, and characterization to prototyping and scaling up for large-scale production. 

Therefore, optimizing the development steps for bio-based materials is a critical challenge for the industry yet to be solved.

The implementation of AI presents an opportunity to catalyze R&D processes and scale-up phases in order to reach these ambitious goals faster. Below, you will see a specific use case where we assisted a Fortune 500 company in addressing their bio-based packaging production challenges.

The urgency of addressing climate change and the depletion of finite resources has driven a global shift towards more sustainable practices in the materials industry. Bio-based materials have emerged as one of the most promising innovations in this field. In addition, as general interest grows, many certifications and labels arise to structure the market and control quality for the new legislations put in place by public institutions. Indeed, new regulations - such as the single use plastic directive and the waste framework directive - were put in place to foster bio-based materials adoption by the industry. Beyond their environmental benefits, these materials are changing the rules and reshaping the landscape of resource dependency, sovereignty, technology, regulation and cost allocation. However, significant challenges arise at each stage of their development—from modeling, formulation, and characterization to prototyping and scaling up for large-scale production. 

Therefore, optimizing the development steps for bio-based materials is a critical challenge for the industry yet to be solved.

The implementation of AI presents an opportunity to catalyze R&D processes and scale-up phases in order to reach these ambitious goals faster. Below, you will see a specific use case where we assisted a Fortune 500 company in addressing their bio-based packaging production challenges.

I. Bio-based materials

I. Bio-based materials

I. Bio-based materials

  1. What are bio based materials?

  1. What are bio based materials?

  1. What are bio based materials?

Bio-based materials are substances derived from living organisms that offer an eco-friendly alternative to traditional, petroleum-based products. They can be made of plants, animals and microorganisms. Unlike conventional materials that rely on fossil fuels, bio-based materials leverage natural processes and biopolymers, including cellulose, lignin, starch, and proteins. 

These materials have various applications in numerous industries. Here are a few examples:

Packaging: Bio-based plastics, such as polylactic acid (PLA) and polyhydroxyalkanoates (PHA), are increasingly used to produce biodegradable containers, bottles, and films. 

Textiles: Fibers derived from bamboo, hemp, and soybeans are being used to create eco-friendly fabrics. Additionally, innovations in bio-based dyes and finishes are contributing to more sustainable clothing production.

Construction: Products like bio-based insulation, biocomposites for building panels, and bio-asphalt offer sustainable options that reduce reliance on traditional construction materials. These materials often exhibit excellent performance characteristics, such as thermal insulation and durability.

Automotive or Aerospace: These industries are utilizing bio-based materials to manufacture components like interior panels, seat cushions, and exterior parts. These materials help reduce the weight of vehicles, improving fuel efficiency and reducing emissions.

Bio-based materials are substances derived from living organisms that offer an eco-friendly alternative to traditional, petroleum-based products. They can be made of plants, animals and microorganisms. Unlike conventional materials that rely on fossil fuels, bio-based materials leverage natural processes and biopolymers, including cellulose, lignin, starch, and proteins. 

These materials have various applications in numerous industries. Here are a few examples:

Packaging: Bio-based plastics, such as polylactic acid (PLA) and polyhydroxyalkanoates (PHA), are increasingly used to produce biodegradable containers, bottles, and films. 

Textiles: Fibers derived from bamboo, hemp, and soybeans are being used to create eco-friendly fabrics. Additionally, innovations in bio-based dyes and finishes are contributing to more sustainable clothing production.

Construction: Products like bio-based insulation, biocomposites for building panels, and bio-asphalt offer sustainable options that reduce reliance on traditional construction materials. These materials often exhibit excellent performance characteristics, such as thermal insulation and durability.

Automotive or Aerospace: These industries are utilizing bio-based materials to manufacture components like interior panels, seat cushions, and exterior parts. These materials help reduce the weight of vehicles, improving fuel efficiency and reducing emissions.

Bio-based materials are substances derived from living organisms that offer an eco-friendly alternative to traditional, petroleum-based products. They can be made of plants, animals and microorganisms. Unlike conventional materials that rely on fossil fuels, bio-based materials leverage natural processes and biopolymers, including cellulose, lignin, starch, and proteins. 

These materials have various applications in numerous industries. Here are a few examples:

Packaging: Bio-based plastics, such as polylactic acid (PLA) and polyhydroxyalkanoates (PHA), are increasingly used to produce biodegradable containers, bottles, and films. 

Textiles: Fibers derived from bamboo, hemp, and soybeans are being used to create eco-friendly fabrics. Additionally, innovations in bio-based dyes and finishes are contributing to more sustainable clothing production.

Construction: Products like bio-based insulation, biocomposites for building panels, and bio-asphalt offer sustainable options that reduce reliance on traditional construction materials. These materials often exhibit excellent performance characteristics, such as thermal insulation and durability.

Automotive or Aerospace: These industries are utilizing bio-based materials to manufacture components like interior panels, seat cushions, and exterior parts. These materials help reduce the weight of vehicles, improving fuel efficiency and reducing emissions.

B. Why do companies opt for bio-based materials?

B. Why do companies opt for bio-based materials?

B. Why do companies opt for bio-based materials?

There are numerous reasons why companies opt for bio-based materials and below are the main: 

Carbon emission reduction: Bio-based materials are significantly less polluting than traditional materials, emitting 45% fewer greenhouse gases over their life cycle compared to fossil-based counterparts. This substantial reduction in emissions makes them an attractive option for companies aiming to lower their environmental footprint.

Reducing Waste: Embracing bio-based materials supports the circular economy by offering biodegradable solutions that reduce waste. Companies can leverage local resources, turning agricultural residues and other biomass into valuable products, further minimizing waste and promoting resource efficiency.

Carbon Capture and Utilization: Bio-based materials can contribute to carbon capture and utilization (a process that captures CO2 emissions and repurposes them into useful products, thereby reducing CO2 levels in the atmosphere) efforts by incorporating carbon-enriched compounds.

Reducing Reliance on Critical Materials and Chemicals: By shifting to bio-based materials, companies can reduce their dependence on critical materials and chemicals, addressing sovereignty concerns and decreasing the risks associated with cost dependency on volatile global markets.

Consumer Interest: The growing consumer demand for sustainable products enhances a company’s brand image and can lead to increased sales. Consumers are often willing to pay a premium for eco-friendly products, boosting revenue. Additionally, investor trust is strengthened as the bio-based materials market is rapidly expanding, with a projected compound annual growth rate (CAGR) of 15.8%, expected to exceed $600 billion by 2031.

There are numerous reasons why companies opt for bio-based materials and below are the main: 

Carbon emission reduction: Bio-based materials are significantly less polluting than traditional materials, emitting 45% fewer greenhouse gases over their life cycle compared to fossil-based counterparts. This substantial reduction in emissions makes them an attractive option for companies aiming to lower their environmental footprint.

Reducing Waste: Embracing bio-based materials supports the circular economy by offering biodegradable solutions that reduce waste. Companies can leverage local resources, turning agricultural residues and other biomass into valuable products, further minimizing waste and promoting resource efficiency.

Carbon Capture and Utilization: Bio-based materials can contribute to carbon capture and utilization (a process that captures CO2 emissions and repurposes them into useful products, thereby reducing CO2 levels in the atmosphere) efforts by incorporating carbon-enriched compounds.

Reducing Reliance on Critical Materials and Chemicals: By shifting to bio-based materials, companies can reduce their dependence on critical materials and chemicals, addressing sovereignty concerns and decreasing the risks associated with cost dependency on volatile global markets.

Consumer Interest: The growing consumer demand for sustainable products enhances a company’s brand image and can lead to increased sales. Consumers are often willing to pay a premium for eco-friendly products, boosting revenue. Additionally, investor trust is strengthened as the bio-based materials market is rapidly expanding, with a projected compound annual growth rate (CAGR) of 15.8%, expected to exceed $600 billion by 2031.

There are numerous reasons why companies opt for bio-based materials and below are the main: 

Carbon emission reduction: Bio-based materials are significantly less polluting than traditional materials, emitting 45% fewer greenhouse gases over their life cycle compared to fossil-based counterparts. This substantial reduction in emissions makes them an attractive option for companies aiming to lower their environmental footprint.

Reducing Waste: Embracing bio-based materials supports the circular economy by offering biodegradable solutions that reduce waste. Companies can leverage local resources, turning agricultural residues and other biomass into valuable products, further minimizing waste and promoting resource efficiency.

Carbon Capture and Utilization: Bio-based materials can contribute to carbon capture and utilization (a process that captures CO2 emissions and repurposes them into useful products, thereby reducing CO2 levels in the atmosphere) efforts by incorporating carbon-enriched compounds.

Energy Efficiency: The production processes for bio-based materials often require less energy than those for fossil-based materials, leading to overall energy savings and further reducing the environmental impact.

Reducing Reliance on Critical Materials and Chemicals: By shifting to bio-based materials, companies can reduce their dependence on critical materials and chemicals, addressing sovereignty concerns and decreasing the risks associated with cost dependency on volatile global markets.

Consumer Interest: The growing consumer demand for sustainable products enhances a company’s brand image and can lead to increased sales. Consumers are often willing to pay a premium for eco-friendly products, boosting revenue. Additionally, investor trust is strengthened as the bio-based materials market is rapidly expanding, with a projected compound annual growth rate (CAGR) of 15.8%, expected to exceed $600 billion by 2031.

There are numerous reasons why companies opt for bio-based materials and below are the main: 

Carbon emission reduction: Bio-based materials are significantly less polluting than traditional materials, emitting 45% fewer greenhouse gases over their life cycle compared to fossil-based counterparts. This substantial reduction in emissions makes them an attractive option for companies aiming to lower their environmental footprint.

Reducing Waste: Embracing bio-based materials supports the circular economy by offering biodegradable solutions that reduce waste. Companies can leverage local resources, turning agricultural residues and other biomass into valuable products, further minimizing waste and promoting resource efficiency.

Carbon Capture and Utilization: Bio-based materials can contribute to carbon capture and utilization (a process that captures CO2 emissions and repurposes them into useful products, thereby reducing CO2 levels in the atmosphere) efforts by incorporating carbon-enriched compounds.

Reducing Reliance on Critical Materials and Chemicals: By shifting to bio-based materials, companies can reduce their dependence on critical materials and chemicals, addressing sovereignty concerns and decreasing the risks associated with cost dependency on volatile global markets.

Consumer Interest: The growing consumer demand for sustainable products enhances a company’s brand image and can lead to increased sales. Consumers are often willing to pay a premium for eco-friendly products, boosting revenue. Additionally, investor trust is strengthened as the bio-based materials market is rapidly expanding, with a projected compound annual growth rate (CAGR) of 15.8%, expected to exceed $600 billion by 2031.

C. What are the biggest challenges of bio-based materials development?

C. What are the biggest challenges of bio-based materials development?

C. What are the biggest challenges of bio-based materials development?

However, bio-based materials are relatively new to the market and face challenges amid various parts of the development process, such as: 

Feedstocks Supply: One of the biggest challenges in bio-based materials is securing a stable and cost-effective feedstock supply. Geographical constraints, sovereignty issues, and the difficulties associated with developing reliable supply chains pose significant risks. Since feedstocks account for 60-70% of the price of bio-based materials, ensuring security and access to these resources is critical for maintaining cost competitiveness.

Difficulty in Modeling: Modeling bio-based materials is particularly challenging due to their origin from living matter. The stochastic nature, complex structures, inhomogeneity, and random spatial properties make them difficult to be accurately modelized. Current modeling solutions are limited and expensive, and while experimental studies provide insights, they often fall short of delivering a deep understanding of the parameters that govern the material's strength. Therefore, advanced and reliable modeling approaches are essential but remain underdeveloped.

Balancing Sustainability and Performance: Companies often face the challenge of reconciling sustainability with performance, as enhancing one can sometimes reduce the other. Indeed, some research proves that reaching high performance (tensile strength >3GPa and corresponding stiffness >100GPa for fiber in this case) is yet not possible for bio-based materials such as cellulose fibers, silk fibers and polyester fibers. Strategic decisions are required to maintain a balance. For instance, Syensqo has developed high-performance bio-based polymers, but achieving such a balance on a broader scale remains tricky, especially when performance cannot be compromised.

Large-Scale Development: Scaling up bio-based materials to compete with conventional materials is another major hurdle. Achieving cost competitiveness while ensuring time efficiency is challenging, especially when it comes to integrating various biomass conversions, such as combining biofuel production with bioproduct manufacturing. The need for synergy in these processes adds to the complexity.

New Concept with Limited Experience: The novelty of bio-based materials means there is less accumulated experience to draw upon. Companies must start from scratch with research and development, testing, and product design. This involves making numerous assumptions, leading to lower confidence in the final product. Additionally, designing new chemically recyclable products requires innovative approaches and untested methods.

Dependence on Public and Regulatory Incentives: The success of bio-based materials is still heavily reliant on public policies and regulatory incentives. For example, the US REDUCE Act, whichdoubled the import tax on fossil-based virgin plastic resins (from $0.1 to $0.2 per pound), has pushed suppliers toward bio-based alternatives. In the meantime, standardizing tests and establishing industry-wide benchmarks remain difficult, highlighting the ongoing reliance on external support to drive the industry forward.

However, bio-based materials are relatively new to the market and face challenges amid various parts of the development process, such as: 

Feedstocks Supply: One of the biggest challenges in bio-based materials is securing a stable and cost-effective feedstock supply. Geographical constraints, sovereignty issues, and the difficulties associated with developing reliable supply chains pose significant risks. Since feedstocks account for 60-70% of the price of bio-based materials, ensuring security and access to these resources is critical for maintaining cost competitiveness.

Difficulty in Modeling: Modeling bio-based materials is particularly challenging due to their origin from living matter. The stochastic nature, complex structures, inhomogeneity, and random spatial properties make them difficult to be accurately modelized. Current modeling solutions are limited and expensive, and while experimental studies provide insights, they often fall short of delivering a deep understanding of the parameters that govern the material's strength. Therefore, advanced and reliable modeling approaches are essential but remain underdeveloped.

Balancing Sustainability and Performance: Companies often face the challenge of reconciling sustainability with performance, as enhancing one can sometimes reduce the other. Indeed, some research proves that reaching high performance (tensile strength >3GPa and corresponding stiffness >100GPa for fiber in this case) is yet not possible for bio-based materials such as cellulose fibers, silk fibers and polyester fibers. Strategic decisions are required to maintain a balance. For instance, Syensqo has developed high-performance bio-based polymers, but achieving such a balance on a broader scale remains tricky, especially when performance cannot be compromised.

Large-Scale Development: Scaling up bio-based materials to compete with conventional materials is another major hurdle. Achieving cost competitiveness while ensuring time efficiency is challenging, especially when it comes to integrating various biomass conversions, such as combining biofuel production with bioproduct manufacturing. The need for synergy in these processes adds to the complexity.

New Concept with Limited Experience: The novelty of bio-based materials means there is less accumulated experience to draw upon. Companies must start from scratch with research and development, testing, and product design. This involves making numerous assumptions, leading to lower confidence in the final product. Additionally, designing new chemically recyclable products requires innovative approaches and untested methods.

Dependence on Public and Regulatory Incentives: The success of bio-based materials is still heavily reliant on public policies and regulatory incentives. For example, the US REDUCE Act, whichdoubled the import tax on fossil-based virgin plastic resins (from $0.1 to $0.2 per pound), has pushed suppliers toward bio-based alternatives. In the meantime, standardizing tests and establishing industry-wide benchmarks remain difficult, highlighting the ongoing reliance on external support to drive the industry forward.

However, bio-based materials are relatively new to the market and face challenges amid various parts of the development process, such as: 

Feedstocks Supply: One of the biggest challenges in bio-based materials is securing a stable and cost-effective feedstock supply. Geographical constraints, sovereignty issues, and the difficulties associated with developing reliable supply chains pose significant risks. Since feedstocks account for 60-70% of the price of bio-based materials, ensuring security and access to these resources is critical for maintaining cost competitiveness.

Difficulty in Modeling: Modeling bio-based materials is particularly challenging due to their origin from living matter. The stochastic nature, complex structures, inhomogeneity, and random spatial properties make them difficult to be accurately modelized. Current modeling solutions are limited and expensive, and while experimental studies provide insights, they often fall short of delivering a deep understanding of the parameters that govern the material's strength. Therefore, advanced and reliable modeling approaches are essential but remain underdeveloped.

Balancing Sustainability and Performance: Companies often face the challenge of reconciling sustainability with performance, as enhancing one can sometimes reduce the other. Indeed, some research proves that reaching high performance (tensile strength >3GPa and corresponding stiffness >100GPa for fiber in this case) is yet not possible for bio-based materials such as cellulose fibers, silk fibers and polyester fibers. Strategic decisions are required to maintain a balance. For instance, Syensqo has developed high-performance bio-based polymers, but achieving such a balance on a broader scale remains tricky, especially when performance cannot be compromised.

Large-Scale Development: Scaling up bio-based materials to compete with conventional materials is another major hurdle. Achieving cost competitiveness while ensuring time efficiency is challenging, especially when it comes to integrating various biomass conversions, such as combining biofuel production with bioproduct manufacturing. The need for synergy in these processes adds to the complexity.

New Concept with Limited Experience: The novelty of bio-based materials means there is less accumulated experience to draw upon. Companies must start from scratch with research and development, testing, and product design. This involves making numerous assumptions, leading to lower confidence in the final product. Additionally, designing new chemically recyclable products requires innovative approaches and untested methods.

Dependence on Public and Regulatory Incentives: The success of bio-based materials is still heavily reliant on public policies and regulatory incentives. For example, the US REDUCE Act, whichdoubled the import tax on fossil-based virgin plastic resins (from $0.1 to $0.2 per pound), has pushed suppliers toward bio-based alternatives. In the meantime, standardizing tests and establishing industry-wide benchmarks remain difficult, highlighting the ongoing reliance on external support to drive the industry forward.

II. AI as a solution 

II. AI as a solution 

II. AI as a solution 

A. To improve Research & Development processes

A. To improve Research & Development processes

A. To improve Research & Development processes

At Osium AI, we believe that Artificial Intelligence has a key role to play in the development of bio-based materials, especially in the R&D phase. Therefore, we developed our AI-powered platform which enables scientists to leverage our proprietary AI technology suited to materials science for each step of their bio-based materials development.

Our proprietary ML algorithms are used by our customers to identify patterns and correlations that might be missed by human analysis, provide insights, model complex phenomena in materials science and predict properties of materials, therefore reducing the need for extensive physical testing and speeding up the development phase of new materials. 

In addition, our AI-powered algorithms enable our customers to conduct R&D in a different way. Traditionally, to develop a new material, our users start with formulations, test them to assess their properties, and iterate on the formulation again until they are close enough to the final target properties. With our AI-powered platform, they can enter the specifications including the material’s target properties and constraints, then our platform generates the optimal material for those specifications. This way of working dwindles the length of the trial and error phase, as it shortlists the top candidates to synthesize the material. 

Last, having all the data in one place is highly valuable in order to extract most information out of it. With our solution, researchers are empowered to better leverage their data by accessing them easily through the software, and can directly and seamlessly integrate AI innovations within their current lab workflow.

At Osium AI, we believe that Artificial Intelligence has a key role to play in the development of bio-based materials, especially in the R&D phase. Therefore, we developed our AI-powered platform which enables scientists to leverage our proprietary AI technology suited to materials science for each step of their bio-based materials development.

Our proprietary ML algorithms are used by our customers to identify patterns and correlations that might be missed by human analysis, provide insights, model complex phenomena in materials science and predict properties of materials, therefore reducing the need for extensive physical testing and speeding up the development phase of new materials. 

In addition, our AI-powered algorithms enable our customers to conduct R&D in a different way. Traditionally, to develop a new material, our users start with formulations, test them to assess their properties, and iterate on the formulation again until they are close enough to the final target properties. With our AI-powered platform, they can enter the specifications including the material’s target properties and constraints, then our platform generates the optimal material for those specifications. This way of working dwindles the length of the trial and error phase, as it shortlists the top candidates to synthesize the material. 

Last, having all the data in one place is highly valuable in order to extract most information out of it. With our solution, researchers are empowered to better leverage their data by accessing them easily through the software, and can directly and seamlessly integrate AI innovations within their current lab workflow.

At Osium AI, we believe that Artificial Intelligence has a key role to play in the development of bio-based materials, especially in the R&D phase. Therefore, we developed our AI-powered platform which enables scientists to leverage our proprietary AI technology suited to materials science for each step of their bio-based materials development.

Our proprietary ML algorithms are used by our customers to identify patterns and correlations that might be missed by human analysis, provide insights, model complex phenomena in materials science and predict properties of materials, therefore reducing the need for extensive physical testing and speeding up the development phase of new materials. 

In addition, our AI-powered algorithms enable our customers to conduct R&D in a different way. Traditionally, to develop a new material, our users start with formulations, test them to assess their properties, and iterate on the formulation again until they are close enough to the final target properties. With our AI-powered platform, they can enter the specifications including the material’s target properties and constraints, then our platform generates the optimal material for those specifications. This way of working dwindles the length of the trial and error phase, as it shortlists the top candidates to synthesize the material. 

Last, having all the data in one place is highly valuable in order to extract most information out of it. With our solution, researchers are empowered to better leverage their data by accessing them easily through the software, and can directly and seamlessly integrate AI innovations within their current lab workflow.

B. To mitigate industrial challenges

B. To mitigate industrial challenges

B. To mitigate industrial challenges

Leveraging AI in the R&D phase of bio-based materials development can clearly mitigate the various challenges of the conception phase. 

During the formulation phase, our AI-powered solution enables materials scientists to focus on preferred compositions depending on their needs and means (price, stock, supply …). This allows them to more easily avoid reliance on critical materials, reducing dependency on certain resources and dealing with feedstock supply constraints when developing bio-based materials. Then, researchers are able to figure out optimal solutions to maximize the performance of the material by simulating the mechanical properties of the materials that they want to develop. Indeed, developing high-performance bio-based materials is challenging but our AI tools increase companies’ chances of success by identifying quickly the most promising candidates and therefore reducing the need for physical testing and trial-and-error.

Another crucial aspect of our tools is to optimize the production of the materials. Thanks to process optimization solutions provided by our AI-powered platform, our customers can dwindle the cost of production, increase their production volume, and develop much greener processes.

Last, our AI-powered solution also enables scientists to anticipate more on and make better decisions for scale-up and production phases. Indeed, switching from the lab to large scale production reveals new challenges which can be managed more efficiently.

Leveraging AI in the R&D phase of bio-based materials development can clearly mitigate the various challenges of the conception phase. 

During the formulation phase, our AI-powered solution enables materials scientists to focus on preferred compositions depending on their needs and means (price, stock, supply …). This allows them to more easily avoid reliance on critical materials, reducing dependency on certain resources and dealing with feedstock supply constraints when developing bio-based materials. Then, researchers are able to figure out optimal solutions to maximize the performance of the material by simulating the mechanical properties of the materials that they want to develop. Indeed, developing high-performance bio-based materials is challenging but our AI tools increase companies’ chances of success by identifying quickly the most promising candidates and therefore reducing the need for physical testing and trial-and-error.

Another crucial aspect of our tools is to optimize the production of the materials. Thanks to process optimization solutions provided by our AI-powered platform, our customers can dwindle the cost of production, increase their production volume, and develop much greener processes.

Last, our AI-powered solution also enables scientists to anticipate more on and make better decisions for scale-up and production phases. Indeed, switching from the lab to large scale production reveals new challenges which can be managed more efficiently.

Leveraging AI in the R&D phase of bio-based materials development can clearly mitigate the various challenges of the conception phase. 

During the formulation phase, our AI-powered solution enables materials scientists to focus on preferred compositions depending on their needs and means (price, stock, supply …). This allows them to more easily avoid reliance on critical materials, reducing dependency on certain resources and dealing with feedstock supply constraints when developing bio-based materials. Then, researchers are able to figure out optimal solutions to maximize the performance of the material by simulating the mechanical properties of the materials that they want to develop. Indeed, developing high-performance bio-based materials is challenging but our AI tools increase companies’ chances of success by identifying quickly the most promising candidates and therefore reducing the need for physical testing and trial-and-error.

Another crucial aspect of our tools is to optimize the production of the materials. Thanks to process optimization solutions provided by our AI-powered platform, our customers can dwindle the cost of production, increase their production volume, and develop much greener processes.

Last, our AI-powered solution also enables scientists to anticipate more on and make better decisions for scale-up and production phases. Indeed, switching from the lab to large scale production reveals new challenges which can be managed more efficiently.

C. Customer case: Fortune 500 company decreased its bio-based materials development time by 80% thanks to Osium AI

C. Customer case: Fortune 500 company decreased its bio-based materials development time by 80% thanks to Osium AI

C. Customer case: Fortune 500 company decreased its bio-based materials development time by 80% thanks to Osium AI

Let’s take a look at how one of our customers, a Fortune 500 in the field of bio-based packaging, successfully leveraged Osium AI’s platform to achieve remarkable success. . 

The company’s goal was to develop a material that could replace petroleum-based products used in packaging while maintaining similar properties. The company wanted the new material to remain below a certain carbon footprint, while maintaining similar mechanical properties, water properties and food grease resistance. This new development was driven by consumers requirements, as achieving such goals increases customer satisfaction, enhancing the brand image of the company. 

We assisted the company in overcoming significant challenges, including identifying suitable bio-based feedstocks and determining the optimal formulations and treatment conditions in a context where material behaviors were particularly difficult to predict. Our AI-powered platform was able to identify new compostable-based formulations and optimal processing conditions, dramatically reducing the material development time by 80% by eliminating the need for extensive physical testing. 

The process was achieved through accurate prediction of material properties based on their characteristics. Starting with very few experimental data points, our platform quickly identified the first promising candidates and, through subsequent refinement, enabled the development of a brand-new bio-based material solution that fulfilled the performance specifications of traditional materials while being fully biodegradable. This innovative material, prototyped and developed by our customer, had never been patented before, marking a significant advancement in the field of compostable-based materials and setting a new standard for sustainable packaging solutions.

Let’s take a look at how one of our customers, a Fortune 500 in the field of bio-based packaging, successfully leveraged Osium AI’s platform to achieve remarkable success. . 

The company’s goal was to develop a material that could replace petroleum-based products used in packaging while maintaining similar properties. The company wanted the new material to remain below a certain carbon footprint, while maintaining similar mechanical properties, water properties and food grease resistance. This new development was driven by consumers requirements, as achieving such goals increases customer satisfaction, enhancing the brand image of the company. 

We assisted the company in overcoming significant challenges, including identifying suitable bio-based feedstocks and determining the optimal formulations and treatment conditions in a context where material behaviors were particularly difficult to predict. Our AI-powered platform was able to identify new compostable-based formulations and optimal processing conditions, dramatically reducing the material development time by 80% by eliminating the need for extensive physical testing. 

The process was achieved through accurate prediction of material properties based on their characteristics. Starting with very few experimental data points, our platform quickly identified the first promising candidates and, through subsequent refinement, enabled the development of a brand-new bio-based material solution that fulfilled the performance specifications of traditional materials while being fully biodegradable. This innovative material, prototyped and developed by our customer, had never been patented before, marking a significant advancement in the field of compostable-based materials and setting a new standard for sustainable packaging solutions.

Let’s take a look at how one of our customers, a Fortune 500 in the field of bio-based packaging, successfully leveraged Osium AI’s platform to achieve remarkable success. . 

The company’s goal was to develop a material that could replace petroleum-based products used in packaging while maintaining similar properties. The company wanted the new material to remain below a certain carbon footprint, while maintaining similar mechanical properties, water properties and food grease resistance. This new development was driven by consumers requirements, as achieving such goals increases customer satisfaction, enhancing the brand image of the company. 

We assisted the company in overcoming significant challenges, including identifying suitable bio-based feedstocks and determining the optimal formulations and treatment conditions in a context where material behaviors were particularly difficult to predict. Our AI-powered platform was able to identify new compostable-based formulations and optimal processing conditions, dramatically reducing the material development time by 80% by eliminating the need for extensive physical testing. 

The process was achieved through accurate prediction of material properties based on their characteristics. Starting with very few experimental data points, our platform quickly identified the first promising candidates and, through subsequent refinement, enabled the development of a brand-new bio-based material solution that fulfilled the performance specifications of traditional materials while being fully biodegradable. This innovative material, prototyped and developed by our customer, had never been patented before, marking a significant advancement in the field of compostable-based materials and setting a new standard for sustainable packaging solutions.

Conclusion

Conclusion

Conclusion

By integrating AI into the development of bio-based materials, researchers and manufacturers can significantly speed up the processes of characterization, formulation, and synthesis of their materials, leading to faster innovation while controlling the costs. Osium AI positions as a leader in materials discovery by providing unique expertise and a software that enables smooth use of AI by chemists. Osium AI has already assisted numerous companies in the packaging, textile, and composites industries in developing new bio-based materials. Our mission is to drive innovation in the field of materials and empower companies in accelerating and scaling their R&D processes. We are convinced that AI will play an essential role in the development and adoption of bio-based materials, paving the way for a more sustainable future.

By integrating AI into the development of bio-based materials, researchers and manufacturers can significantly speed up the processes of characterization, formulation, and synthesis of their materials, leading to faster innovation while controlling the costs. Osium AI positions as a leader in materials discovery by providing unique expertise and a software that enables smooth use of AI by chemists. Osium AI has already assisted numerous companies in the packaging, textile, and composites industries in developing new bio-based materials. Our mission is to drive innovation in the field of materials and empower companies in accelerating and scaling their R&D processes. We are convinced that AI will play an essential role in the development and adoption of bio-based materials, paving the way for a more sustainable future.

By integrating AI into the development of bio-based materials, researchers and manufacturers can significantly speed up the processes of characterization, formulation, and synthesis of their materials, leading to faster innovation while controlling the costs. Osium AI positions as a leader in materials discovery by providing unique expertise and a software that enables smooth use of AI by chemists. Osium AI has already assisted numerous companies in the packaging, textile, and composites industries in developing new bio-based materials. Our mission is to drive innovation in the field of materials and empower companies in accelerating and scaling their R&D processes. We are convinced that AI will play an essential role in the development and adoption of bio-based materials, paving the way for a more sustainable future.

© 2024, Osium AI. Copyrights, All Rights Reserved.

© 2024, Osium AI. Copyrights, All Rights Reserved.

© 2024, Osium AI. Copyrights, All Rights Reserved.