Generative AIMolecular SimulationBioplastics

Design better bioplastics before the lab.

Generative AI that simulates starch, cellulose, and mycelium chemical formulas — predicting tensile strength, heat resistance, and biodegradability before creating physical lab batches.

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94%

Prediction accuracy

87%

Fewer lab iterations

12K+

Formulas simulated

Biomatrixx Molecular SimulatorLive

Formula SCB-047 · starch–cellulose blendConfidence 94.2%

The Challenge

From molecule to material, in silico

Iterate digitally, then test only the most promising candidates.

The Challenge

Developing sustainable bioplastics traditionally requires hundreds of expensive, time-consuming lab experiments. Packaging manufacturers need to replace petroleum-based plastics — but the R&D cost and timeline are prohibitive.

The Biomatrixx Solution

Our generative AI models simulate starch, cellulose, and mycelium-based chemical formulas at the molecular level. Graph neural networks predict tensile strength, heat resistance, flexibility, and biodegradation rates with 94% accuracy — before any physical lab work. You iterate in silico, then test only the most promising candidates.

94% Accuracy

87% Fewer Lab Iterations

12K+ Formulas

⚛️ Molecular Design

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⚡ AI Simulation

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💪 Property Prediction

The Molecular AI Stack

Four AI layers that cut bioplastic R&D from months to days

Generative design, prediction and simulation in a single workflow.

Generative Molecular Design

Generative AI explores millions of possible molecular configurations — starch blends, cellulose derivatives, and mycelium composites — to propose novel bioplastic formulations.

Generative AI

Graph Neural Network Prediction

GNNs trained on 500K+ experimental data points predict tensile strength, elongation, glass transition temperature, and biodegradation rates with 94% accuracy.

GNN · 94% Accuracy

Heat Resistance Simulation

Molecular dynamics simulations model thermal behavior — predicting melting points, heat deflection temperatures, and thermal degradation profiles before synthesis.

Molecular Dynamics

Biodegradability Modeling

AI predicts biodegradation timelines under various conditions (compost, marine, soil) — helping you design materials that meet sustainability certifications.

Sustainability

Live Molecular Simulator

Formula SCB-047, predicted before synthesis

LiveBiomatrixx Molecular SimulatorAI confidence 94.2%

Tensile strength

42MPa

Heat resistance

118°C

Biodegradation

68days

Elongation

22%

Material base

Starch-BasedCellulose-BasedMycelium-BasedHybrid Composite

Material metrics

💪 Tensile strength42 MPa

🔥 Heat resistance118°C

💧 Water resistanceModerate

♻️ Biodegradability68 days

💰 Cost indexLow

🏭 ScalabilityHigh

Prediction confidence 94%

Trained on 500K+ experimental data points

The R&D Impact

Real outcomes from packaging manufacturers

Faster development with far fewer physical batches.

94%

Prediction accuracy for tensile strength and heat resistance

87%

Reduction in physical lab iterations

6.2x

Faster time-to-market for new bioplastic formulations

12K+

Molecular formulas simulated on the platform

“Every lab iteration avoided saves $50K+ and 3 weeks of R&D time.”

Who We Serve

Built for sustainable materials

Biomatrixx supports every stakeholder in the bioplastics value chain.

Packaging Manufacturers

Replace petroleum-based plastics with high-performance bioplastics — without the R&D risk.

Material Science R&D

Accelerate biopolymer development with generative AI and molecular simulation.

Sustainable Brands

Meet ESG goals and consumer demand with fully biodegradable, compostable packaging.

Chemical Manufacturers

Discover new bioplastic formulations and scale production with data-driven confidence.

Testimonials

What innovators say

Trusted by packaging manufacturers and material scientists worldwide.

★★★★★

Biomatrixx predicted tensile strength within 3% of our lab results. We cut our bioplastic development cycle from 9 months to 6 weeks. Game-changing.

Dr. Sandra Abu

R&D Director, EcoPack Solutions

★★★★★

We simulated 2,400 formulations in a week. Our lab tested only the top 12 — and 10 of them met our specs. The AI accuracy is extraordinary.

Mary Chenemi

VP of Innovation, GreenPack Industries

★★★★★

The biodegradability modeling helped us design a compostable film that meets EU certification standards on the first try. Unheard of in this industry.

Dr. Azeez Obi

Chief Scientist, BioWrap Europe

Our Team

Material scientists and chemists

Material scientists, AI researchers, and chemists united to end petroleum-based plastics.

Dr. Abodunrin Ali

CEO & Co-Founder

Polymer chemist with 15+ years in sustainable materials. Former BASF researcher.

Dr. Mary Abiodun

CTO & Co-Founder

AI/ML Ph.D. specializing in generative models for molecular design. Former DeepMind.

Dr. Linda Okwori

Head of Materials Science

Biopolymer expert. Has developed 40+ commercial bioplastic formulations.

David Kenneth

VP of Product

Product leader with deep experience in computational chemistry platforms.

Contact

Ready to design better bioplastics?

Tell us about your packaging needs, and we’ll show you how Biomatrixx can help.

Abodunrin@biomatrixx.com

Address

1 oluwalogbon street onihale ifo ogunstate,ifo, Ogun, NG

Custom formulation requestNeed a custom bioplastic for a specific application? Our material scientists can design and simulate a formulation tailored to your exact requirements.+234

Get Started

Start designing bioplastics today

Deploy Biomatrixx in your R&D workflow in days. Start simulating, predicting, and innovating.

Define

Specify your target properties: tensile strength, heat resistance, biodegradability, cost.

Simulate

Our generative AI explores millions of molecular configurations to find optimal formulas.

Test

Receive ranked candidates with predicted properties — test only the best in the lab.

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