1) Parallel testing of new substances not on animals, but using generated 3D biomodels “organ on a chip” 2) Personalized medicine with simultaneous testing of multiple treatment methods and drugs, targeted therapy for a specific patient in vitro on the 3D composition of his personal cells and selection of the most effective with the lowest toxicity 3) Overcoming the shortage of organs for implantation and personal hormone replacement therapy for everyone using printed endocrine glands from their cells

We help doctors to take better care to their patients throw AI.

Accelerate employee development by nudging with AI coach Kale.

Problem: 1. Need to Utilize Available Ingredients. 2. Lack of Time. 3.Dietary Restrictions and Allergies. Solution An AI-powered application featuring: Product and Receipt Scanning: Identify available ingredients through scanning. Advanced Ingredient Filtering System: Find recipes that do not necessarily require all scanned ingredients. Recommendation System: Suggest recipes with ingredients identified by the neural network. Voice Input for Adding Ingredients: Allows users to add ingredients by voice.

One of the main problems of traditional deep neural networks is the possibility of unforeseen, random errors. Our mathematical apparatus allows us to solve this problem by creating figurative-logical neural networks that model the imaginative representation and thinking of a person. This device is based on logical information processing and is encoded by Boolean functions. Such software will perform only logical operations without complex numerical calculations performed during the learning process. The advantage of figurative-logical neural networks is an increase in reliability in operation and the elimination of accidental errors and artifacts.

Our startup has developed an innovative service - automatic generation of estimates using artificial intelligence (AI). There is a Russian-speaking https://freesmetaonline.ru/beforeNewSmetaAI and English-speaking https://freesmetaonline.ru/beforeNewSmetaAIEn versions. You just indicate what the estimate is, for example, for the development of a website or the construction of a wooden house. The AI will automatically generate an estimate with sections and prices specific to this type of estimates. The estimate is large (more than 100 items) and relevant.

90% companies are vulnerable to hacking within 24 hours, but more importantly, how quickly the company can get back to work after a hack. According to open sources, every year companies lose $3.6 trillion in data, due to lack of backup, theft, equipment breakage and human negligence. Datananny will not protect you from hacking, but will allow your data to remain safe and protect it from intruders.

The call center staff worked without statistics and recording of conversations, excluding quality control. Applications for state support were accepted in paper form, documents were entered and checked manually, causing errors and delays. Folders with documents were lost, delaying decisions for up to a month and causing customer dissatisfaction. We have created an IT system for processing requests, which allows you to: Keep records, distribute among employees, coordinate decisions and communicate. Notify the responsible persons and applicants about the status. Collect analytics, feedback, and generate documents. Maintain a database of entrepreneurs. Integrate with government support portals: SMEs.RF, My subsidies.

Problem: In recent years, the public health system in Russia and the BRICS countries has acquired the character of a national priority and international cooperation in this area. The creation of the BRICS public health system has become "the task not only of federal, regional and municipal structures, but also of public associations of the BRICS countries

BRICS is a joint project of WINbd Group of Companies and the Eurasian International University, created on the basis of the LMS/LXP system Distant Global.

**Problem Statement** 1. There is a lack of effective mechanisms for cooperation and knowledge exchange between universities and industry companies. 2. There is a disconnect between theoretical knowledge in emerging energy fields and its practical application in university educational programs. 3. Students are insufficiently prepared to tackle practical challenges related to the implementation of innovative technologies in the workplace. 4. Companies face increasing costs associated with building and updating their talent pool. 5. There is a risk of a disconnect between scientific research and industrial activities, hindering the practical application of technologies: a. Scientific research often lacks relevance to industry needs. b. University research activities do not always align with the current demands of companies for research and development of new technologies. **Proposed Solution** We propose the establishment of the Energynet EduNet Center, which will develop world-class training programs for highly qualified specialists in the field of intelligent distributed energy. These training programs will be responsive to the rapidly changing market needs for qualified energy professionals. The programs will cater to both university students and employees in the energy sector. Knowledge assessment will occur at each stage of training, with teachers and mentors providing guidance on educational matters. The educational programs will be tailored to the specific context of BRICS countries and translated into the official language of each country to facilitate simultaneous teaching across different regions. The educational program will offer an individualized learning path for aspiring engineers in distributed intelligent network modeling, distinguished by the following features: 1. Clearly defined performance requirements set by technology companies operating in the industry. 2. A digital competence profile outlining the necessary qualifications for the relevant specialist. 3. Modular educational units that include text and video materials designed to develop broad-mindedness, general professional skills, and specialized competencies within the training profile. 4. Systems for verifying the acquisition of competencies through the completion of modular units. Verification methods may include tests, essays, practical assignments, and term papers. 5. An educational trajectory aligned with the requirements specified in the competence profile. The process of mastering the educational program will consist of the following stages: 1. Selection through initial assessments. 2. A training program comprising specific knowledge modules. 3. Personalized support for students throughout their program development.

Nowadays, scanning of interiors and facades of buildings is expensive, requires significant time resources and qualified personnel. In addition, many equipment suppliers have left the RF market and there is basically no comprehensive software. This leads to high cost of services and reduced supply on the market. Our solution is a hardware and software system that turns a digital camera into a 3D scanner. It makes it possible to automatically process images and becomes affordable.