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Development of Solutions Based on Artificial Intelligence (AI)
We help growing companies quickly create a minimum viable product (MVP) driven by artificial intelligence (AI) based on machine learning and neural networks, in conditions of limited time and resources, using our knowledge and our line of AIC software products for rapid prototyping of AI systems so that you can immediately start using its advantages in business and ensure its effectiveness, minimizing risks and costs

Cost: from 4900 USD
Duration: from 2 weeks
We make an AI-driven MVP or your task quickly
We develop mathematical AI models
in the following areas:
Fintech
Analysis of financial data and information
Telemedicine
Medical image and telemetry analysis
Education
Predicting student performance
Industry
Predictive equipment diagnostics and telemetry analysis
Biometrics
AI-powered applications related to biometric data and behavior analysis
Voice and audio analytics
Recognition of emotions, speaker, speech, commands, etc.
Computer Vision
Analysis of photo, video, drone photography, faces, cars, buildings
Text analytics
Classification and comparison of messages, documents, etc.
OUR COMPLETED WORKS
Case №1
Detection, segmentation and classification of buildings and cars in high-resolution photographs in GIS based on deep neural networks
Case №2
Classification and prediction of pre-emergency situations based on the analysis of oil wells telemetry data
Case №3
Forecasting student performance based on analysis of activity data in distance learning systems
Case №4
Identification of enterprise employees by facial image or thermogram based on artificial neural networks
Case №5
Verification of the user by keyboard handwriting while working on the computer in real time
Case №6
Analysis and classification of electroencephalograms based on machine learning methods
Case №7
Verification of a handwritten signature based on artificial intelligence neural network models with automatic training on small samples
Case №8
Analysis of voice signals to identify speakers and determine their psychophysiological state based on neural network machine learning models
Case №9
Identification of user requests to automate the first line of technical support
Case №10
Classification of borrowers by credit risk level to automate credit scoring
Case performed on the basis of Omsk State Technical University (OMSTU)
Development of the first edition of the GOST R standard “Artificial Intelligence. Neural network algorithms for secure execution. Automatic training of neural network models on small samples in classification problems"
CONTACT US
+7 953 394-90-54 sul@aiconstructor.ru
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The collection and storage of personal data (full name, e-mail, organization, position, telephone, type of activity) is carried out for statistical purposes as well as for technical support for users or other contacts with interested parties regarding the use of AIConstructor products or the services we provide. This consent can be revoked at any time upon written application from the user (by email at sul@aiconstructor.ru). We undertake not to use this data for campaigning or advertising purposes, not to transfer this data to third parties, and not to post it in open sources.
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