Creating strains capable of efficiently processing complex organic compounds such as chitin, fats, proteins, and toxins. We focus on enhancing the speed and efficiency of biofermentation, using the latest methods of genetic modification and adaptation of microorganisms to extreme conditions.

Development of unique starters and substrates that improve the bioavailability of nutrients and accelerate the decomposition of organic components. These premixes will play a crucial role in optimizing fermentation processes to achieve more stable and predictable outcomes.

Metagenomic study and selection of microbial communities best suited for working with different types of waste. Understanding and managing the microbiome is key to creating effective processing systems capable of adapting to changes in the composition of organic material and improving the yield of the final product.

Organizing large-scale production of microbiome raw materials to supply bioreactors and alternative composting technologies. This will allow the creation of stable and efficient microbial cultures, applicable in various technological waste processing procedures. Industrial production of such cultures will ensure their widespread use, guaranteeing sustainable processing and high-quality output.

Creating multifunctional smart bioreactors that operate on the basis of artificial intelligence. These bioreactors are capable of adapting to various types of waste, automating the processing, and accommodating real-time parameter changes. Utilizing machine learning technologies to optimize processes enables high efficiency and minimizes resource expenditures.

Using computer modeling to analyze and optimize biofermentation. Modeling helps to determine optimal parameters—temperature, humidity, oxygen level, and others—for each specific batch of waste. This ensures the stability of the process and predictable quality of the final product. Modern trends in this field include digital twins, which allow for the simulation and prediction of system behavior before actual implementation.

Creating modular and adaptive systems that can be easily configured for processing various types of waste. These modules provide flexibility and scalability—from local installations for small businesses to large industrial complexes. Developing designs with the capability to integrate IoT sensors allows for the creation of a system that can collect and analyze data, which is crucial for precise process control and minimizing failures.

Incorporating solutions based on artificial intelligence and Internet of Things (IoT) technologies for monitoring and managing bioreactors. These intelligent systems not only allow for real-time process control but also enable data analysis to enhance efficiency and predictability. The trend towards using predictive analytics helps prevent failures and optimize the process based on real data.

Engineering biotechnologies also encompass tasks aimed at increasing the energy efficiency of equipment and reducing its environmental impact. Implementing solutions that minimize energy consumption and reduce emissions meets modern environmental standards and makes processing procedures more sustainable.

Development of systems that integrate bioreactors into production groups, automating all stages of processing—from raw material input to finished product discharge. The implementation of Internet of Things (IoT) technologies and robotic solutions enhances productivity and stability of the manufacturing process, minimizes human error, and ensures continuous processing.

Implementation of IoT-based information systems for real-time monitoring and management of technological processes. These systems track key parameters such as temperature, humidity, and oxygen levels, which helps maintain stability, respond promptly to changes, and minimize errors, thereby increasing overall productivity.

Creation of autonomous production complexes capable of processing organic waste in a closed loop. This minimizes the amount of secondary waste, enhances environmental safety, and promotes resource recovery. The complexes integrate all stages of processing—from waste collection and preparation to the production of the final product, including organic fertilizers or feed additives.

Implementation of information systems that integrate all bioreactors into a single network for real-time monitoring and accounting of processed waste. This allows for tracking the volumes of processed waste, controlling the amount of raw material produced, and managing its distribution among regions, ensuring efficient resource use and sustainability of the entire system.

Utilization of artificial intelligence to analyze and optimize manufacturing processes. These systems enable predictive management of processing, identify potential deviations, and address them before problems arise. Integrating AI helps reduce costs and increase the overall efficiency of recycling.

Development of modular production complexes that can be scaled according to regional needs or processing volumes. The modular approach allows for the creation of facilities that are easily adapted and expanded as needed, providing flexibility and capacity scaling without significant expense.

Development of specialized containers for collecting organic waste, accommodating various scales of generation—from small to large volumes. This includes creating transportation solutions with automated loading, precise weighing, and unloading directly into production complexes. These technologically adapted systems ensure a seamless connection of all logistics and processing stages, contributing to stable supply of processing capacities and reducing logistical costs.

Development of recipes for highly effective organic fertilizers, adapted for various types of soils and crops. The goal is to create fertilizers that enhance soil fertility, support soil microbiological activity, and increase plant resilience to adverse conditions.

Implementation of pelleting and packaging solutions for fertilizers that meet international standards. This will ensure long-term storage, minimize logistical costs, and guarantee ease of use of the final product. Packaging should be environmentally friendly, preserving the properties of the fertilizers and facilitating transportation.

Creation of technology maps and application methods for fertilizers that will help optimize their use depending on the type of soil, crops, and climatic conditions. These technology maps will enable agricultural enterprises to achieve the best results by using our fertilizers effectively and in optimal dosages.

Creation of high-quality feed additives based on organic components aimed at improving the health and productivity of animals. The use of recycled waste in feed additives contributes to the creation of a closed-loop resource system and reduces the costs of feed for livestock.

Development and implementation of methods to reduce the toxicity of waste at all stages of processing. We use specific microorganisms and chemical reactions to neutralize toxic compounds, ensuring safety at every step and reducing risks to the environment and human health.

Researching recycled raw materials to assess their compliance with environmental standards and suitability for use in agriculture and livestock. We develop and implement testing systems that ensure the products are safe and meet all environmental regulatory requirements.

Implementing innovative methods for monitoring and minimizing emissions into the environment. We use systems that allow for real-time tracking and management of emissions, ensuring that products meet environmental standards and enhancing the resilience of the entire processing system. This includes reducing pollution levels and optimizing resource use, making the process more environmentally efficient and cost-effective.