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Machine Learning

Machine Learning
Elisoft offers comprehensive machine learning services, empowering businesses to uncover hidden patterns and make data-driven predictions. As a company specializing in machine learning, we provide solutions that allow software to "learn" from data and improve over time. Our expertise spans various industries, including HealthTech, FinTech, and media, and we’ve successfully developed machine learning projects over the past seven years.
Our Expertise in Machine Learning Software Development
Expertise
Dataset Analysis
Image Recognition
Text Categorization
Text Recognition
Media Analysis
Dataset Analysis
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Machine learning can analyze vast amounts of data, revealing important insights. We provide data analysis solutions such as automatic text analysis, medical diagnostics, stock market evaluation, image recognition, product recommendations, fraud detection, and more. Machine learning models can analyze and predict variables of any scale, identifying trends and dependencies.

Image Recognition
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We develop solutions for image classification, localization, object detection, and segmentation. Whether you need a model to identify objects from a dataset of images or more complex visual tasks, we can train a model to meet your requirements.

Text Categorization
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Our machine learning models can classify text based on provided datasets. For instance, we can categorize product descriptions by training the system to recognize text patterns and match them to relevant categories.

Text Recognition
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Machine learning can assist in extracting valuable information from various text formats, such as MS Word, PDFs, or images. Our solutions process documents and identify key data based on your needs.

Media Analysis
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We can help you analyze public sentiment on social media and news outlets using machine learning. Whether you need to track product reception, segment content into themes, or examine trends in media mentions, our sentiment analysis tools provide valuable insights.

Our Machine Learning Development Solutions
Solutions
ELISOFT IS READY TO DEVELOP FULLY CUSTOMIZED MACHINE LEARNING SOLUTIONS, WHETHER YOU REQUIRE A COMPLETE SYSTEM OR A SPECIFIC SERVICE. HERE'S WHAT WE OFFER:
Machine Learning software development
Technical Specifications Preparation
Consulting
Statistical Analysis
Machine Learning software development
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We specialize in developing and deploying machine learning models. Whether you're looking to integrate a machine learning model into your website or need a complete web solution, our engineers work together to ensure seamless integration and consistent performance.

Technical Specifications Preparation
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We work closely with clients to develop detailed product specifications. Our business analysts and machine learning engineers collaborate to outline technical requirements, ensuring that product development aligns perfectly with client expectations from start to finish.

Consulting
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If you have a high-level product vision but need expert guidance, we offer consulting services to help you define key features and determine how to leverage existing data to achieve your goals.

Statistical Analysis
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Our team conducts data analysis using statistical models, testing hypotheses and generating insights. We work with various data formats, including Cross-Sectional, Time Series, and Panel Data.

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Industries We Serve with Machine
Learning Solutions

Services
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Healthcare
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Financial & Banking
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E-commerce
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Insurance
Healthcare

Elisoft develops machine-learning applications to support healthcare providers in predicting health risks, modeling disease progression, and conducting image analysis for diagnostics.

Financial & Banking

We offer analytical tools for financial markets, including CAPM modeling and yield curve analysis. Our machine learning solutions combine financial theory with cutting-edge technology to optimize financial analysis.

E-commerce

Our machine learning expertise helps e-commerce companies automate processes like inventory management, product recommendation systems, and customer personalization for increased efficiency.

Insurance

Machine learning can streamline fraud detection, automate data-driven management, and assist insurance companies in creating better pricing models, risk analysis, and customer tools.

Benefits of Machine Learning for Businesses

Benefits
MACHINE LEARNING BRINGS A RANGE OF BENEFITS TO BUSINESSES, MAKING IT AN ESSENTIAL TOOL IN A VARIETY OF INDUSTRIES. HERE ARE SOME OF THE KEY ADVANTAGES:
Data-Driven Business Decisions
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Machine learning enables faster decision-making based on automated data analysis, reducing human errors.
Increased Efficiency
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ML can handle vast data volumes, making it much more effective than traditional analysis methods.
More Time
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By automating manual tasks, machine learning streamlines processes, allowing businesses to focus on more critical areas.
Reduced Costs
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ML algorithms cut costs by solving complex analysis tasks that were previously impossible without significant time and resources.
Enhanced Security
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Machine learning enhances security measures by identifying vulnerabilities and reinforcing your business's cybersecurity.

Technology We Use

Technology Stack
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Frameworks & Libraries - Tensorflow, SpaCy, Gensim, FastText, Statsmodels, Scikit-learn, OpenCV, Numpy, Pandas, SciPy, transformers, TadGAN
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ML as a Microservice - ML solutions can be packed into Docker Containers, using REST API frameworks such as Flask or FastAPI
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Cloud Computing
Platforms -
Amazon Web Services (AWS). ML model training and deployment via AWS Sagemaker, data preprocessing, and model training with Apache Spark
ML model types:
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Multilayer Perceptron (MLP)
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Recurrent Neural Networks (RNN, LSTM etc.)
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Convolutional Neural Networks (CNN)
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Transformers (BERT etc.)
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Generative Adversarial Networks (GAN)
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Special and composite model architectures (YOLO, Mask R-CNN etc.)
FINANCIAL MODELS:
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Bonds analysis
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Stock markets fundamental analysis
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Portfolio optimization
STATISTICAL MODELS:
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Ordinary Least Squares (OLS)
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Maximum Likelihood (ML)
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Generalized Linear Model (GLM)
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Generalized method of moments (GMM)
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Time series analysis (ARIMA, ARCH/GARCH, threshold models)
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Pooled OLS, fixed and random effects models, first differences