Accelerate Enzyme Discovery and Optimization with custom AI Tools
AI-Driven Enzyme Engineering for Energy (Non-Fuel)
The global energy transition is not only about fuels — it depends on materials recovery, clean hydrogen, and carbon conversion technologies that must operate efficiently, sustainably, and at scale.
Neoncorte Bio applies AI-driven enzyme engineering to design biological catalysts that unlock new pathways for energy systems beyond combustion — improving circularity, efficiency, and environmental performance.
We partner with energy technology developers, recycling companies, and industrial innovators to bring engineered biology into next-generation energy infrastructure.
Why Enzymes Matter in Non-Fuel Energy Systems
AI-optimized enzymes make these advantages viable under real industrial conditions.
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Non-fuel energy technologies face unique challenges:
- quality loss in mechanical recycling
- harsh chemical depolymerization conditions
- inability to remove additives and contaminants
- limited routes to truly circular polymers
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Enzymes offer:
- molecular-level selectivity
- lower-energy reaction pathways
- compatibility with circular economy models
Core Energy (Non-Fuel) Subsegments We Support
Battery recycling is critical for securing lithium, cobalt, nickel, and other strategic materials.
We design enzymes that support:
We design enzymes that support:
- selective recovery of battery materials
- gentler separation processes
- integration with hydrometallurgical recycling flows
Biological hydrogen production offers a low-carbon alternative to conventional methods.
Our enzyme engineering supports:
Our enzyme engineering supports:
- enzymatic and microbial hydrogen generation
- improved reaction efficiency and stability
- integration with renewable energy systems
Carbon capture alone is not enough — conversion into valuable products is key.
We engineer enzymes for:
We engineer enzymes for:
- biological CO₂ conversion and utilization
- carbon mineralization or biochemical transformation
- integration into CCU and industrial decarbonization systems
Why AI-Driven Enzyme Engineering Is Critical
AI-driven enzyme engineering shortens development cycles and de-risks deployment.
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Energy system applications impose strict constraints:
- continuous operation
- long catalyst lifetimes
- harsh chemical and physical conditions
- tight cost and efficiency thresholds
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Our AI platform models sequence-structure-function relationships to engineer enzymes that:
- operate reliably over long periods
- tolerate industrial stresses
- scale efficiently in manufacturing
What Neoncorte Bio Delivers
- Battery recycling and material recovery enzymes
- Hydrogen and carbon conversion enzymes
- Stability and longevity
- Reaction efficiency
- Process compatibility
- Designed for industrial fermentation
- Compatible with CDMO and pilot-scale deployment
- NDA-protected projects
- Licensing, co-development, or transfer
- Alignment with circular economy strategies
- Who We Work With?
- Battery recycling and materials recovery companies
- Hydrogen technology developers
- Carbon capture and utilization (CCU) companies
- Clean energy startups and scale-ups
- Industrial decarbonization teams
- Why Partner with Neoncorte Bio?
- AI-first enzyme engineering platform
- Focus on non-fuel energy systems
- Complementary to electrochemical and thermal processes
- Built for sustainability-driven, regulated markets
Frequently Asked Questions (FAQs)
Our solutions leverage advanced artificial intelligence and machine learning to design, optimize, and engineer enzymes tailored to your specific applications. Whether you need enhanced catalytic efficiency, improved stability, or novel enzyme functionalities, our platform streamlines the design process, reduces experimental iterations, and accelerates time-to-market.
Our services are ideal for biotechnology and pharmaceutical companies, industrial manufacturers, academic research labs, and any organization involved in enzyme applications. Industries such as biofuels, food processing, personal care, paper and pulp, and environmental management can all benefit from our AI-driven enzyme engineering tools.
Our process begins with your input data—such as enzyme sequences, structural information, and target reaction profiles. Our proprietary AI algorithms generate a library of enzyme variants and use predictive modeling to evaluate their catalytic activity, stability, and specificity. The top-performing candidates are ranked and provided for further experimental validation, significantly reducing the number of lab iterations needed.
Our platform is versatile and can be applied to a wide range of enzymes including hydrolases, oxidoreductases, transferases, and lyases. We focus on both enhancing the performance of existing enzymes and designing entirely new biocatalysts for applications in industrial processes, therapeutics, and research.
Absolutely. We collaborate with you to tailor our AI models and parameters to meet your project’s unique requirements. This includes integrating your proprietary data, adjusting target properties, and aligning the enzyme design with your process conditions to deliver a highly customized solution.
Our software features robust API support and data export options (e.g., CSV, JSON) that enable seamless integration with Laboratory Information Management Systems (LIMS) and other data analytics pipelines. We also offer comprehensive onboarding, training, and technical support to ensure smooth adoption by your team.
Our models are trained on extensive datasets from scientific literature and experimental data. Continuous feedback from laboratory validations helps refine our predictions. Although our AI predictions are highly reliable, we recommend in vitro or in vivo validation to confirm the performance of the engineered enzymes under your specific conditions.
Yes, we provide collaborative support during the validation phase. Our team can assist in designing proof-of-concept studies, advising on experimental protocols, and interpreting validation results to ensure that the engineered enzymes meet your performance criteria.
Our pricing is flexible and depends on the scope, duration, and level of customization required for your project. We offer subscription-based models for ongoing research and project-based pricing for specific campaigns. Please contact us for a personalized consultation and detailed quote.
Our dedicated customer support team is available throughout your journey—from initial consultation and onboarding to ongoing technical support and regular software updates. We offer multiple support channels including email, phone, live chat, and detailed documentation to ensure your success.
Start an Energy Enzyme Engineering Project
Let’s explore how AI-designed enzymes can unlock new energy pathways.
Neoncorte Bio
Where AI Meets Biotechnology
Neoncorte Bio is at the forefront of the convergence between artificial intelligence and enzyme engineering. Our team comprises experts in computational biology, bioinformatics, and machine learning, all driven by a mission to accelerate innovation in enzyme design. By leveraging our advanced AI models, we provide unparalleled solutions that enhance efficiency, reduce costs, and push the boundaries of what's possible in enzyme engineering
Proud Member of Leading Global AI Programs
Neoncorte Bio is part of the NVIDIA Inception and Nebius for Startups programs — two of the world’s leading ecosystems for high-performance AI innovation. These partnerships strengthen our ability to deliver next-generation AI-driven protein, enzyme, and aptamer engineering.
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As a member of NVIDIA Inception, Neoncorte Bio gains access to cutting-edge GPU technologies, expert guidance, and a global AI ecosystem that supports companies from prototype to production. The program empowers us to explore new AI opportunities and build high-performance biological design pipelines powered by NVIDIA’s world-class platform. -
Through Nebius for Startups, we gain access to high-performance compute infrastructure optimized for large-scale AI workloads, along with hands-on technical guidance and a strong community of innovative AI companies. Nebius enables us to train and deploy complex biological models more efficiently — accelerating enzyme, protein, and aptamer design while supporting rapid scaling of our R&D pipelines.
Publications
Scientific Publication of Neoncorte Bio Team
- Modification of natural enzymes to introduce new properties and enhance existing ones is a central challenge in bioengineering. This study is focused on the development of Taq polymerase mutants that show enhanced reverse transcriptase (RTase) activity while retaining other desirable properties such as fidelity, 5′-3′ exonuclease activity, effective deoxyuracil incorporation, and tolerance to locked nucleic acid (LNA)-containing substrates.
- The transcriptomic data are being frequently used in the research of biomarker genes of different diseases and biological states. The most common tasks there are the data harmonization and treatment outcome prediction. Both of them can be addressed via the style transfer approach. Either technical factors or any biological details about the samples which we would like to control (gender, biological state, treatment, etc.) can be used as style components.
- List of all Neoncorte Bio publications dedicated to Molecular Biology, Biotechnology, Artificial Intelligence and Artificial Neural Networks, published mostly by Nikolay Russkikh, CEO of Neoncorte Bio
Our Expertise in Action
With extensive experience in AI applications and software engineering tailored to the life sciences, we specialize in solving complex challenges and delivering innovative solutions for our customers. Our work demonstrates a deep understanding of cutting-edge technologies and their application in the real world.
Here are examples of the types of projects we have successfully delivered:
Here are examples of the types of projects we have successfully delivered:
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Automated NGS Data Analysis:
Designed a production-grade solution for the automated processing, annotation, and analysis of Next-Generation Sequencing (NGS) data. -
Single-Cell Data Integration:
Built state-of-the-art tools for integrating multimodal single-cell data, achieving recognition for technical excellence. -
Metagenomic Classification Algorithms:
Developed advanced methods for classifying sequencing reads in metagenomics research. -
High-Throughput Image Processing Pipelines:
Engineered an efficient pipeline to process millions of sequencing images with exceptional accuracy. -
Cell Counting via AI:
Created a computer vision solution for precise cell counting in microphotography images, streamlining data analysis.
Get in touch with our team
Phone: +1-503-754-3958
Email: contact@neoncorte.com
Email: contact@neoncorte.com
© All Rights Reserved. Neoncorte Bio. 2024-2026
contact@neoncorte.com
contact@neoncorte.com