Data segmentation, identification of patterns, search for anomalies
Download presentationSolutions based on large language models (LLM) and speech analytics
Download presentationDevelopment of predictive systems for customer churn and consumer behavior, forecasting equipment breakdowns and load, forecasting sales conversion, demand and insurance claims, predicting traffic and accidents
Data analysis and anomaly search, personalized offers based on customer preferences, loyalty programs, recommendation systems and decision support systems
Systems based on computer vision and video analytics technologies, recognition and detection of objects and events, classification and segmentation of images
Natural language processing and speech analytics, large language models (LLM), structured information extraction, classification and retrieval
Обеспечьте безопасность и держите бизнес под контролем
Предотвращение краж, контроль за соблюдением стандартов гигиены, подсчет уникальных посетителей, ожидание заказа, пустая посуда
Контроль за процессами внутри торговых помещений, мониторинг и анализ поведения посетителей, подсчет покупателей в очереди
Мониторинг безопасности (дым, возгорания), загрязненности территории, контроль движения ТС, распознавание несчастных случаев
Подсчет людей, детекция посторонних предметов, распознавание дыма, возгораний, выявление драк, конфликтов, скопления людей
Подсчет людей, детекция посторонних предметов, распознавание дыма, возгораний, выявление драк, конфликтов, скопления людей
Мониторинг безопасности, анализ нарушений, детекция посторонних лиц, распознавание дыма, возгораний
Анализ нарушений, техники безопасности, детекция несчастных случаев и травм, распознавание дыма, возгораний
Подсчет пассажиров, детекция посторонних предметов, распознавание дыма, возгораний, выявление драк, конфликтов, давки, безопасность на железной дороге
Мониторинг работы АЗС, контроль безопасности, подсчет объектов (людей, ТС), автоматизация обслуживания
Комфорт для посетителей парковки, обеспечение порядка, безопасность транспортных средств и владельцев, предотвращение краж и вандализма
Мониторинг безопасности, анализ посетителей в зале обслуживания и на кассах, подсчет людей в очереди, предотвращение мошенничества
Контроль качества обслуживания клиентов, безопасность посылок и персонала, анализ процессов приемки и выдачи товаров, повышение уровня сервиса
Безопасность товаров и сотрудников, оптимизация логистики, предотвращение краж, обеспечение защиты от несанкционированного доступа
Комфортные и безопасные условия для работы и встреч. Контроль доступов к помещениям, предотвращение несанкционированного доступа к конфиденциальной информации
Контроль за процессами обслуживания и безопасностью процедур, предотвращение краж и пожаров, повышение качества обслуживания и удовлетворенности клиентов
Мониторинг безопасности, контроль доступа к помещениям, снижение риска краж, повышение производительности работы сотрудников
Мониторинг безопасности, контроль доступа к помещениям, контроль ношения средств индивидуальной защиты
Solutions based on artificial intelligence, machine learning, computer vision, natural language processing and data analysis technologies
The main directions of development:
The company is based on the international machine learning laboratory of ITMO University and is developing in the field of implementing machine learning technologies, computer vision, natural language processing and data analysis to solve various business problems. In recent years, many projects have been implemented for the largest Russian and foreign companies, including Norilsk Nickel, Megafon, Evraz, Sinara-Transport Machines, Gazprom Neft. This allowed us to accumulate vast experience and expertise, create a product line and become a leading company in the field of artificial intelligence technology implementation.
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Ready-made solutions based on computer vision algorithms that need to be retrained using customer data.
Development of solutions based on machine learning technologies, computer vision, language models and data analysis to solve the most complex and demanding tasks
Hypothesis testing, scientific research, analysis of prospects for the introduction of artificial intelligence to solve business problems
Device development and algorithm adaptation for tensor processors, single-board devices such as Jetson Nano, Raspberry Pi
Контроль и оптимизация конвейерных процессов и производственной линии, снижение зависимости от человека и ручного труда
Автоматизируйте работу с документами, обработку текстовой информации и речевых обращений
Intelligent system for analyzing the urban environment More
Распознавание параметров и характеристик объектов
Поиск и структурированное извлечение информации
Распознавание надписей, рукописного текста, номеров, qr-кодов
Прогнозирование поломок, отказ и выхода из строя оборудования
Классификация по тематике, стилю, анализ тональности
Распознавание дефектов и брака, контроль качества продукции
Прогнозирование оттока и удержание клиентов
Прогнозирование конверсии продаж
Генерация доменных имен и логотипов
Today, machine Learning is widely used in many sectors of the digital economy, such as industry, retail, autonomous vehicles and driver assistance systems, unmanned aerial vehicles, high-tech agriculture, healthcare, and many others.
Machine learning enables retailers to automate processes that previously had to be done manually. You can automatically receive notifications of stock out of stock or other customer requirements that are not met by creating an analytics system directly at the point of sale. Monitoring staff work, counting visitors, optimizing work schedules, analyzing the effectiveness of promotions and many other applications can be solved by machine learning technology.
Inventory analysis, automated sorting and tracking systems, scanners for reading barcodes and checking product compliance with the order. Automated pass and control systems, as well as systems for forecasting demand and supply volumes based on machine learning.
Modern high-tech production requires special approaches to quality control of manufactured products, as well as optimization of technological processes. Machine vision has made a real technological breakthrough and significantly expanded the capabilities of flaw detection in industry, and brought it to a new level. Now technologies allow monitoring quality not only after the manufacture of a product or product, but also directly during the production process. Other possibilities of using computer vision, such as, for example, the analysis of the granulometric composition of raw materials can significantly optimize the production process.
Control of staff work, traffic of visitors, control of access control, optimization of work schedule, safety and health systems and many other applications.
Monitoring the work of personnel, violations by employees of regulations and labor discipline, detection of traffic of visitors, violation of public safety and order, and many other applications.
The introduction of computer vision technologies together with global positioning systems allows for precision farming, which can significantly increase the yield and efficiency of agriculture. Monitoring agricultural fields from satellite images and unmanned aerial vehicles, determining the maturity of the crop allows you to make predictions of the amount of production.
Внедрение технологий компьютерного зрения в пищевой промышленности позволяет контролировать качество продукции, вести учет и подсчет, а также выявлять брак. Системы распознавания маркировки, надписей, QR-кодов, сравнение с образцом ускоряют и автоматизируют различные процессы на предприятии. Контроль эффективности на рабочем месте, контроль безопасности и выявления нарушений позволяет существенно сократить расходы
Optimization of road traffic, operation of traffic lights, detection of violations of traffic rules (traffic rules), recognition of vehicle characteristics (number, type, brand, color, etc.)
Optimization of advertising campaigns, look-alike audience (LAL), forecasting views, clicks, reviews, likes and other characteristics of publications
The introduction of artificial intelligence (AI) technologies allows you to increase productivity, optimize and automate various processes insurance companies, as well as improve the quality of customer service. Systems based on machine learning algorithms, natural language processing and data analysis can significantly reduce risks, the likelihood of fraud, give high-quality forecasts, automate and speed up the process of obtaining data for making various decisions Thanks to such systems, the speed of processing applications increases, as well as the level of personalization of insurance products. Artificial intelligence technologies are used, among other things, for better customer segmentation and identifying break-even customers and as a tool to attract audiences interested in new technologies
The use of computer vision for medical imaging is used in computer diagnostics to plan personal therapy, medical care, and improve decision making. Computer vision systems help the doctor make a diagnosis because there may be small details in the image that the doctor may not notice, but such details can be recognized by the system with a high degree of accuracy. In addition, the image can be compared with thousands of other similar images in the medical system database, and the result of the comparison is used for a more accurate diagnosis by the medical professional.
Самый современный стек технологий
Python, PyTorch, MMDetection, MMSegmentation, Ultralytics (YOLOv8), Transformers (Hugging Face), OpenCV SAIL (TPU - Sophon Artificial Intelligent Library)
Bloom, transformers, tokenizers, datasets, nltk, spacy, pythia GPT, GPT-Neo, GPT-J, BERT, LLAMA, Reformer, Alignment-а (RLHF, ect)
Scikit-learn, Keras, ARIMA, 1D convolutional NN, LSTM, Attention-based, CatBoost/ Light GBM/ XGBoos
Analysis of business requirements and identification of main business goals.
Business requirements analysis and problem statement.
Collection, preparation and preprocessing of data on which the models will be built.
Development and training of algorithms and construction of machine vision models.
Testing, verification of metrics and compliance with business requirements and goals.
Deployment of a full-fledged system, monitoring and support of the solution.
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Russia, Saint Petersburg, Birzhevaya liniya, 16
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