Machine learning development services

Graphics-embedded machine learning development services

Automate processes, boost efficiency and drive innovation with machine learning development services from Mind Supernova, a company with a unique combination of 3D graphics engineering and machine learning expertise.

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Our machine learning development services

 

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Computer vision and machine learning consulting

 

Get an expert assessment of your business challenges and a solution proposal designed for your needs. We’ll help you select the right tools, set up development and create product prototypes, as well as advise on sophisticated algorithm development.

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Video footage and image analysis

 

Leverage computer vision for automated object, sign and face recognition in video footage and images. We’ll deliver a computer vision solution that analyzes and recognizes patterns in footage or images from security cameras, dashcams and more.

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Natural language processing

 

Employ natural language processing to automate sentiment analysis, customer support and fraud detection. We’ll develop and train an NLP system tailored to your needs, be it for a chatbot, speech recognition, customer review analysis or document processing automation.

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Digital twin development

 

Minimize risks and enhance product development with 3D models of real-world products, systems or processes. Combine digital twins with image processing for automated anomaly detection with Mind Supernova’s machine learning development services.

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Edge AI

 

Leverage edge AI on smart devices to ensure data security and privacy, power real-time analytics and improve responsiveness. We’ll help you ensure high infrastructure performance, minimize model training time and reduce decision delay.

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Synthetic 3D graphics dataset creation

 

Ensure your machine learning solution is trained on high-quality visual data. We’ll create and manage your dataset of images, videos or 3D graphics, as well as analyze and assure its quality and perform synthetic data injections.

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Neural network model optimization

 

Boost neural network training speed and accuracy with Mind Supernova’s expertise in model optimization. We’ll analyze your neural network’s architecture and dataset and provide you with actionable recommendations on how to refine both.

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MLOps

 

Deploy and maintain your machine learning models more efficiently and reliably with MLOps. We are fluent in MLOps best practices, which allows us to speed up machine learning development and deployment without compromising its quality.

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See computer vision in action

How computer vision powers a pig activity monitoring system: Interactive case study.

Results we have delivered with our unique expertise

70%

increase in performance

20%

hardware cost savings

$1m

YoY cumulative cost reduction

$2m+

projected five-year revenue boost

120%

claims processing productivity

20%

more cost-efficient operations

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Streamline operations and drive innovation with Mind Supernova’s machine learning expertise

Our machine learning solutions across industries

Automotive

Retail

E-commerce

Financial services

    • Autonomous driving
    • Simulations
    • Driver status tracking
    • Media systems for user entertainment
    • Visual defect detection

    Why choose Mind Supernova for machine learning solutions development?

    Cutting-edge technical expertise icon

    Cutting-edge technical expertise

    Our strong technical expertise in a variety of AI frameworks, tools and algorithms allows us to deliver the most complex solutions smoothly. We also stay on top of the latest research in AI/ML so that we can deliver state-of-the-art, reliable and efficient solutions to our clients.

    Business acumen icon

    Business acumen

    We bring our industry, domain and business expertise to the table to deliver ML development services that provide tangible business value and align with your goals. Our deep understanding of your industry, market and unique business challenges ensures we design and develop effective ML solutions.

    MLOps best practices icon

    MLOps best practices

    As a machine learning development company, we follow MLOps best practices to de-risk and accelerate development while delivering high-performance models. As a result, we maximize the business value, we deliver while minimizing operational issues and ensuring system maintainability, scalability and reliability.

    Client-centric approach icon

    Client-centric approach

    We recognize that no two organizations come to us with identical business challenges. That’s why we concentrate on fully grasping your needs and goals before proposing solutions. This allows our machine learning app development company to deliver tangible value to our clients every single time.

    Mind Supernova's machine learning expertise in numbers

    10+

    graphics and machine learning specialists

    20+

    completed projects

    100%

    success rate

    Our toolkit

    GPU

    Tools

    AI/ML

    Graphics

    • High performance compute
    • Multimedia
    • Benchmarking

    Our computer vision solution features

     

    ● Support for all H/W platforms and frameworks used by AI/ML ecosystems

    ● Cutting-edge CI/CD, MLOps and test automation best practices

    ● Cloud-agnostic deployment for Azure, AWS, GCP and hybrid solutions

    ● High-quality, up-to-date online documentation and tutorials

    MIS Mind Supernova computer vision solution features

     

     

    News and insights

    Anomaly detection using recurrent neural network autoencoders

    Blog

    Anomaly detection using recurrent neural network autoencoders

    Machine learning with Microsoft Azure Monitoring machine learning models in production

    Blog

    Machine learning with Microsoft Azure Monitoring machine learning models in production

    Mastering MLOps practices for a trading bot

    Blog

    Mastering MLOps practices for a trading bot

     

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    Deploy an optimized, reliable and scalable ML solution tailored to your unique needs

     

    FAQ

    A computer vision application is an ML-powered system that can:

    • Classify images
    • Detect and segment objects in images
    • Assess object position and pose
    • Recognize and identify faces
    • Convert text in images into machine-recognizable data

    Machine learning is a subfield of artificial intelligence and the underlying technology that powers computer vision systems. It has a broader application range than computer vision as it can also power other solutions, such as natural language processing ones.

    In essence, machine learning is the basis of image processing and object tracking and analysis. ML algorithms are trained using large datasets of footage or images with labels. The application learns to recognize a pattern in labeling and works out the rules that it later uses to fulfill its purpose.

    MLOps — Machine Learning Operations — is a set of practices and principles used in machine learning development and operations. MLOps seeks to improve workflow efficiency across the board and ensure output quality.

    Mind Supernova’s machine learning development processes are designed with MLOps in mind. This allows us to:

    • Accelerate model experimentation and development
    • Facilitate continuous integration and delivery
    • Deploy models into production faster
    • Assure consistent model quality and performance over time with continuous testing
    • Simplify management process
    • Automate certain workflows, such as ML model deployment, in large-scale production

    As a result, our clients receive high-performance, accurate and reliable ML solutions faster and at a reduced cost.

    Introducing a machine learning/computer vision solution can allow the organization to:

    • Get insights and predictions faster as AI/ML algorithms can process large datasets faster and more accurately than any employee or team
    • Accelerate decision-making with continuous real-time data analysis and accurate predictions, and enhance resilience and flexibility as a result
    • Hyperpersonalize customer experiences with real-time accurate sentiment analysis and behavior prediction, thus improving customer retention and lifetime value
    • Automate manual processes and whole workflows, thus improving productivity and employee satisfaction and allowing employees to focus on value-added activities
    • Reduce operational costs while increasing efficiency by replacing manual labor with an automated solution