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Our ML.Net AI Development Services and Solutions

  • Consulting Services
  • Build Custom AI apps and workflows using ML.NET
  • ML.NET integration Services
  • Migrate to the ML.Net Platform
  • Manage your ML.Net Model end-to-end
  • Native Application development using ML.Net
  • Cross-platform app development with ML.Net integration
  • Support and Maintenance Services
  • Performance Optimization Solutions

Get Started with Your ML.Net Development Journey

With ChromeInfo Technologies, you get a reliable ML.Net AI development partner that will help you integrate ML.NET into your custom business applications and workflows. Our ML.Net developers are highly proficient in both native and cross-platform application development using the .NET technology stack. Hire our experienced AI developers to build custom ML.Net business solutions for your business transformation needs and facilitate better productivity and efficiency across departments. Connect today with one of our in-house consultants to know more and get started.ย 

Key Benefits of the ML.Net Based Business AI Solutions

Integrate Machine learning into your existing .NET applications using programming languages like C# or F# without the need to use Python, R, or any such technology. Stay within the .NET ecosystem to build cutting-edge AI and ML Solutions.ย 

Leverage AutoML to get automated suggestions for best-fit algorithms and AI recommendations to build business solutions in the shortest time and with minimal errors. Overall, it facilitates lower cost and time in AI solutions development, which helps you save business expenses and overheads.ย 

Scalability of business applications is another benefit of the ML.NET framework within the .NET ecosystem. Build high-traffic enterprise apps that function perfectly across all workloads.ย 

Lastly, build smarter automations within the .NET framework and ecosystem, facilitate personalization in business AI solutions, and deliver operational excellence.ย 

Our ML.Net AI Development Technology Stack

Technologies

C#, F#, ML.NET, AutoML, ONNX, TensorFlow, Infer.NET, ASP.NET, Blazor, WPF, WinForms, Azure, SQL Server, Power BI

Avail Our No-Cost Risk-Free Trial Services

Avail our 80-hour risk-free trial to ensure that we are the best fit ML.NET AI development Partner for your business needs. Evaluate and assess our Technical skills, domain expertise, soft skills, project management expertise, and commitment to ensure end goals are met as per expectations through a test task.

Get daily reports & a cumulative summary at the end of the trial. You can use this to assess if we are the best fit ML.NET technology partner for long-term business association. If all goes well, we can start immediately with the project.

Client Testimonials

Head of Engineering & HR, HR Services Company
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"This company provides exceptional service, showcasing expertise, adaptability, and a strong commitment to quality."
Owner, Brainpod Multimedia
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"Theyโ€™ve been impressive at scaling up or down, which has been truly helpful over the years."
CEO, RANS ELECTROMECHANICAL EQUIPMENT TRADING LLC
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"Once we give them a job and time frame, they meet it, and the results are quite astonishing."
CEO, Financial Services Company
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"The project management is highly effective."
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ML.Net AI Development Frequently Asked Questions (FAQs)

Familiarity helps ML.NET developers build AI applications faster and with precision to help you save development cost and time. It is designed for developers who are already familiar with end-to-end .NET development and can use native languages like C#, F# and other NET-based technologies to reduce the learning curve and build AI and ML apps faster.
No, itโ€™s best suited for both small businesses and large-scale enterprises. If your business has a .NET based or any Microsoft technology based software solution and you want to integrate AI and ML capabilities for smarter and intelligent automations, ML.NET is the best choice for you.
AutoML is basically an Automated Machine Learning feature in ML.Net that simplifies and accelerates the process of building, optimizing, deploying, and fine-tuning Machine Learning Models. It helps in automating key stages of the machine learning workflow to streamline AI and ML solutions development with ease within the Microsoft technology ecosystem.
Binary and Multiclass Classification, Regression, Clustering, Recommendation, Anomaly Detection, and Computer Vision are some of the key machine learning scenarios that can be fulfilled with ML.NET. Others include Sentiment Analysis, Prediction, Segmentation, Fraud Detection, Forecasting, and much more.
They can run across both. In offline capabilities, Ml.Net allows for the hosting and execution of pre-trained models locally within a .NET application, even without an internet connection. On the other hand, in the case of On-premise deployment, they can be deployed and run within your organizationโ€™s data centres or private cloud infrastructure, which helps you ensure better data security and compliance across industry regulations.

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