Onshore .NET Development Including .NET Core, ASP.NET & Everything Microsoft and Beyond!

All Aspects of .NET Development – Microsoft Gold Partner

Trusted – CI/CD – Agile – DevOps – Co-Development


Create The Perfect Hybrid .NET Development Team!

Intertech’s .NET development and design consultants have deep knowledge and proven experience in providing guidance and development leadership in every aspect of modernization, integration and new-build, including design, architecture, development, delivery, and testing. If you use a mix of in-house and outsourcing, no matter where they are located, adding our consultants to your team can make the difference between on budget and on time and the alternative.


What are some of the .NET based libraries we use?

The .NET ecosystem includes a wide range of libraries and frameworks that extend the capabilities of the .NET platform and help developers build various types of applications. Here are some popular .NET-based libraries...

Entity Framework (EF): An Object-Relational Mapping (ORM) library that simplifies database access in .NET applications, allowing developers to work with databases using .NET objects and LINQ.

ASP.NET Core: A web framework that enables developers to build modern, cross-platform web applications using .NET. It includes many built-in libraries for handling HTTP requests, routing, authentication, and more.

Newtonsoft.Json (Json.NET): A powerful JSON library for .NET that allows easy serialization and deserialization of JSON data.

SignalR: A real-time web library that enables bi-directional communication between the server and clients, allowing for real-time updates and notifications in web applications.

NLog / Serilog / log4net: Logging libraries that provide various logging capabilities to track and record events and messages during application execution.

AutoMapper: A library that simplifies object-to-object mapping, helping to convert objects of one type to another without writing repetitive code.

FluentValidation: A library for building strongly-typed validation rules in .NET applications.

Humanizer: A library that provides human-readable representations for common data types, such as dates, times, and numbers.

Dapper: A lightweight and efficient Object-Relational Mapping (ORM) library that allows fast data access while maintaining minimal overhead.

CsvHelper: A library for reading and writing CSV files in .NET applications.

NUnit / MSTest / xUnit: Testing frameworks that help developers create and run unit tests in .NET applications.

System.Net.Http: A built-in .NET library that provides classes for making HTTP requests and handling HTTP responses.

System.IO: A built-in .NET library that provides classes for input and output operations, such as reading and writing files.

System.Linq: A built-in .NET library that extends the capabilities of LINQ (Language-Integrated Query) to perform queries on collections and data sources.

These are just a few examples of the many libraries available in the .NET ecosystem and it is important to k=note that because of the size of the player behind .NET, the .NET platform is continuously evolving, and new libraries and tools are developed regularly to address the needs of modern software development and help build robust and feature-rich applications. Contact us to day to find out how our experts can help and become a trusted part of your team.


Which frameworks & libraries rely on C#?

Several libraries and frameworks utilize C# to extend the capabilities of the language and simplify various development tasks. Here are some prominent libraries and frameworks that utilize C#. Some of them include...

Entity Framework (EF): A widely-used Object-Relational Mapping (ORM) library that allows developers to interact with databases using C# classes and LINQ (Language-Integrated Query).

ASP.NET Core: A cross-platform web framework that uses C# for building modern web applications, including APIs, web pages, and web services.

SignalR: A real-time web library that uses C# for server-side code to enable real-time communication between clients and the server.

ASP.NET Identity: A library that provides user authentication and authorization features for ASP.NET Core applications using C#.

NUnit / MSTest / xUnit: Popular testing frameworks that use C# for writing unit tests and test suites.

Newtonsoft.Json (Json.NET): A widely-used C# library for handling JSON serialization and deserialization.

Serilog / NLog / log4net: Logging libraries that utilize C# for recording log events in .NET applications.

AutoMapper: A C# library for object-to-object mapping, simplifying the process of converting one object type to another.

FluentValidation: A C# library that provides a fluent interface for building validation rules for objects.

CsvHelper: A C# library for reading and writing CSV files.

Dapper: A lightweight and fast micro-ORM that uses C# for data access in .NET applications.

Moq: A C# library for creating mock objects and arranging behavior for unit testing.

Humanizer: A C# library that provides human-readable representations for data types, such as dates, times, and numbers.

HttpClient: A built-in C# library in .NET for making HTTP requests and handling HTTP responses.

These are just a few examples of the numerous libraries and frameworks that leverage C# to extend the capabilities of the .NET platform, but it is also important to remember that C# is not only used for .NET software. While C# is the primary language for developing applications in the .NET ecosystem, it can also be used outside of the .NET framework for various purposes. C# is a versatile language that can be used for different types of development, including:

Unity Game Development: C# is a popular language for scripting games in the Unity game engine. Unity supports C# as one of its primary scripting languages, allowing developers to create cross-platform games.

Xamarin Mobile Development: C# is used with Xamarin to develop cross-platform mobile applications for iOS, Android, and Windows using a shared C# codebase.

Windows Desktop Applications: C# can be used with Windows Presentation Foundation (WPF) or Windows Forms to build desktop applications for Windows operating systems.

Azure Cloud Services: C# is commonly used for developing cloud-based applications and services on the Microsoft Azure cloud platform.

Web Development: While C# is often associated with ASP.NET for web development, it can also be used with other frameworks like Blazor (for building web applications using WebAssembly) or with WebAPI for creating RESTful APIs.

Machine Learning: C# can be used for machine learning tasks using libraries like ML.NET or to integrate with other popular machine learning frameworks like TensorFlow and PyTorch.

Game Development: Besides Unity, C# can be used in other game development frameworks and engines, such as MonoGame and Godot.

Scripting and Automation: C# can be used for writing scripts and automating tasks in various environments, including Windows PowerShell scripting.

Cross-Platform Development: With the advent of .NET Core and .NET 5+, C# can be used for cross-platform development, making it possible to create applications that run on Windows, macOS, and Linux.

While C# is often associated with Microsoft technologies and the .NET framework, its versatility and capabilities make it suitable for a wide range of development scenarios, even beyond the .NET ecosystem. It is a powerful and widely-used language in various industries and application domains and our team at Intertech can help your team utilize it to its fullest extent.


How do you model data so you can predict outcomes using a .NET system?

To predict outcomes using a .NET system, you would leverage various libraries and frameworks and typically follow these steps to model the data...

Collect and Prepare Data: The first step is to gather relevant data that will be used for prediction. This data may come from various sources, such as databases, APIs, or external datasets. Ensure the data is clean, properly formatted, and contains the necessary features (variables) that might influence the outcome.

Choose a Prediction Model: Select a suitable prediction model based on the nature of your data and the type of prediction task you want to perform. Common prediction models include linear regression, decision trees, support vector machines, neural networks, etc. (See the list below of potential options)

    • Linear Regression: A simple prediction model used for regression tasks, where the relationship between input features and the target variable is assumed to be linear.
      — Library: ML.NET (Microsoft’s machine learning library for .NET) provides support for linear regression.
    • Logistic Regression: A prediction model used for binary classification tasks, where the output is a probability between 0 and 1.
      — Library: ML.NET supports logistic regression for binary classification.
    • Decision Trees: A versatile prediction model used for both classification and regression tasks. Decision trees create a tree-like model of decisions and their possible consequences.
      — Library: ML.NET supports decision trees for both classification and regression tasks.
    • Random Forest: An ensemble learning technique that combines multiple decision trees to improve prediction accuracy and reduce overfitting.
      —Library: ML.NET supports random forests for classification and regression tasks.
    • Support Vector Machines (SVM): A powerful prediction model used for classification and regression tasks, particularly for complex data.
      — Library: ML.NET provides support for SVM-based classification and regression.
    • Neural Networks: Deep learning models that are capable of handling complex tasks, such as image recognition, natural language processing, and more.
      —Library: ML.NET has experimental support for deep learning using TensorFlow.
    • K-Nearest Neighbors (KNN): A simple prediction model used for classification tasks, where an input is classified based on the majority class of its K nearest neighbors.
      —Library: ML.NET supports KNN for classification.
    • Naive Bayes: A probabilistic prediction model based on Bayes’ theorem, often used for text classification and spam filtering.
      — Library: ML.NET supports Naive Bayes for classification tasks.
    • Clustering Algorithms: These models group similar data points together based on their features, allowing you to discover patterns and similarities in data.
      — Library: ML.NET provides K-Means clustering for unsupervised learning tasks.
    • It’s important to note that the availability and capabilities of these models may vary across different versions of ML.NET (Machine Learning.NET) or other third-party libraries. Additionally, ML.NET allows you to create custom prediction models and pipelines if the built-in models do not suit your specific needs.

Data Preprocessing: Before applying the prediction model, preprocess the data to handle missing values, normalize or scale features, and split the data into training and testing sets. The training set is used to train the model, while the testing set evaluates its performance.

Train the Model: Use the training data to train the selected prediction model. During training, the model will learn the relationships between input features and the corresponding target outcome. The goal is to find the best parameters or coefficients that minimize prediction errors.

Validate the Model: After training, evaluate the model’s performance using the testing data. Common metrics for evaluation include accuracy, precision, recall, F1 score, and mean squared error, depending on the type of prediction task (classification or regression).

Tune the Model: If the model’s performance is not satisfactory, you can fine-tune its hyperparameters or try different algorithms to improve the results.

Deployment and Prediction: Once the model is trained and validated, integrate it into your .NET system for prediction. The model can then take new input data as input and provide predictions or outcomes based on the learned patterns.

As an example mentioned above, you can use libraries like ML.NET for machine learning tasks within the .NET ecosystem. ML.NET provides a user-friendly interface to build and train machine learning models in C# and is well-suited for prediction tasks in .NET applications. And remember, successful prediction models depend on the quality and representativeness of the data, the choice of the appropriate model, and the careful evaluation of the model’s performance. Continuous monitoring and updating of the model may also be necessary to maintain its accuracy as new data becomes available. Our experts can help your team if you are looking for a partner in your next-level hybrid solution.


What is ML.NET?

ML.NET is an open-source, cross-platform machine learning framework developed by Microsoft. It is designed specifically for .NET developers, allowing them to incorporate machine learning functionalities into their .NET applications...

With ML.NET (or Machine Learning.NET), developers can build and train custom machine learning models for a wide range of tasks, including classification, regression, clustering, recommendation systems, and more.

Some key features of ML.NET:

Scalable and Fast: ML.NET is built to efficiently handle large datasets and can take advantage of hardware acceleration, such as GPUs, to speed up training and prediction processes.

No Data Science Background Required: ML.NET is designed to be accessible to developers without a background in data science. It provides a high-level API that abstracts away complex machine learning concepts, making it easier to use for .NET developers.

Cross-Platform: ML.NET supports Windows, Linux, and macOS, enabling developers to deploy machine learning models across different platforms.

Integration with .NET: ML.NET seamlessly integrates with the .NET ecosystem, including C#, F#, and Visual Basic. Developers can use familiar .NET languages to create and work with machine learning models.

Custom Model Training: ML.NET allows developers to create custom machine learning models using their data and the provided APIs. It supports a variety of algorithms and model architectures, including decision trees, SVMs, neural networks, and more.

Data Pipelines: ML.NET provides data pipeline capabilities to handle data preprocessing tasks like data cleaning, transformation, and feature engineering.< Model Evaluation: ML.NET offers built-in tools for evaluating the performance of trained models, helping developers assess the accuracy and effectiveness of their predictions.

Onnx Support: ML.NET supports the Open Neural Network Exchange (ONNX) format, allowing models trained in other frameworks like TensorFlow or PyTorch to be imported and used within ML.NET applications.

ML.NET is an excellent choice for stakeholders who want to leverage the power of machine learning without leaving the .NET ecosystem. It is widely used across various industries for a range of applications, from business data analysis to computer vision and natural language processing tasks. Its flexibility, simplicity, and integration with the .NET platform make it a valuable tool for building intelligent applications. Consider speakiong with one of our senior team members to find out how we fit into your hybrid development team.


What is the difference between .NET Framework and .NET Core?

The difference between .NET Framework and .NET Core lies in their architecture, platform support, and deployment model. Listed below are the key distinctions between the two...


  • .NET Framework: It is a full-fledged framework designed primarily for Windows desktop applications and server-side applications. It includes a large set of libraries and APIs, providing extensive support for various functionalities.
  • .NET Core: It is a modular and lightweight framework that is designed to be cross-platform. It is optimized for building modern, cloud-based, and cross-platform applications.

Platform Support:

  • .NET Framework: It is exclusive to the Windows operating system. Applications developed using .NET Framework can only run on Windows machines.
  • .NET Core: It is designed to be cross-platform and supports Windows, macOS, and Linux. This enables developers to build applications that can run on different operating systems.

Deployment Model:

  • .NET Framework: Applications built on .NET Framework are typically deployed with the necessary .NET runtime components, making the application size larger and requiring a separate installation of the .NET Framework on the target machine.
  • .NET Core: Applications built on .NET Core can be deployed as self-contained or framework-dependent. In a self-contained deployment, all required components are included, while in a framework-dependent deployment, the target machine must have the appropriate .NET Core runtime installed.


  • .NET Framework: It has been available for a longer time and is well-established with a large number of existing applications and libraries. However, it is primarily focused on Windows development.
  • .NET Core: While .NET Core has a growing ecosystem of libraries and support, not all existing .NET Framework libraries are directly compatible with .NET Core. However, .NET 5 and later versions (including .NET 6) have been unified as the successor of both .NET Framework and .NET Core, addressing compatibility concerns.

Open-Source Status:

  • .NET Framework: It was a closed-source framework, meaning the source code was not publicly available.
  • .NET Core: It was open-sourced from the beginning, and this approach continues with the unified .NET 5+ platform.


  • .NET Framework: Due to its larger footprint and Windows-specific optimizations, it may not perform as efficiently as .NET Core in certain scenarios.
  • .NET Core: Being more lightweight and optimized for cross-platform scenarios, .NET Core generally offers better performance.

With the release of .NET 5, Microsoft unified .NET Framework and .NET Core into a single platform called .NET 5 and later versions. This unified platform provides the benefits of both .NET Framework and .NET Core, supporting cross-platform development while maintaining compatibility with existing applications and libraries. As a result, .NET 5 and later versions are the recommended choice for new development projects.


What are NuGet packages?

NuGet packages are a fundamental component of the .NET ecosystem, used to distribute and manage reusable code libraries, tools, frameworks, and other dependencies for .NET applications. They play a crucial role in simplifying the process of adding external functionality to .NET projects....

NuGet is the official package manager for .NET, and it is integrated into popular development environments like Visual Studio.

Key features of NuGet packages include:

Packaged Libraries: NuGet packages contain compiled code and other files necessary to use a specific library or tool in a .NET project. These packages are distributed in a standardized format, making it easy to share and consume them.

Versioning: Each NuGet package has a version number, allowing developers to specify which version of a library or tool their project depends on. This versioning system ensures consistent behavior and allows developers to update dependencies while controlling potential breaking changes.

Dependency Management: NuGet packages can have their own dependencies, which are automatically resolved and installed when a package is added to a project. This ensures that all required dependencies for a package are available in the project.

Easy Installation: Adding a NuGet package to a .NET project is a straightforward process. Developers can use the NuGet Package Manager in Visual Studio or run commands in the .NET CLI to install and manage packages.

Package Restoration: When a .NET project is built, NuGet automatically restores any missing or outdated packages referenced in the project. This ensures that the project always uses the correct versions of its dependencies.

Wide Ecosystem: The NuGet ecosystem is extensive, providing access to a vast collection of open-source and commercial packages that cover a wide range of functionalities, from common utilities to complex frameworks.

Publishing Custom Packages: Developers can create their own NuGet packages and publish them to private or public NuGet repositories, allowing teams or organizations to share and reuse custom code or components.

NuGet greatly simplifies the management of dependencies and third-party libraries in .NET projects. It helps developers avoid manual downloading and copying of external dependencies, ensuring that projects can easily incorporate and update the required packages. As a result, NuGet packages promote code reuse, improve development efficiency, and contribute to the overall maintainability and stability of .NET applications. Contact our team for more information on how we can help you understand and develope to your best ability in .NET


What is the role of Visual Studio in .NET development?

Visual Studio plays a crucial role in .NET development as it is the primary Integrated Development Environment (IDE) provided by Microsoft for building, debugging, testing, and deploying .NET applications. Listed below are some key roles of Visual Studio in .NET development...

Project Creation: Visual Studio provides templates and wizards to create various types of .NET projects, including web applications, desktop applications, mobile apps, and class libraries.

Code Editing: Visual Studio offers a powerful code editor with features like IntelliSense (code completion), syntax highlighting, and code refactoring tools, making it easier for developers to write clean and efficient code.

Debugging: Visual Studio includes advanced debugging capabilities, allowing developers to set breakpoints, inspect variables, and step through code to identify and fix issues in their .NET applications.

Testing: Visual Studio supports different testing frameworks and provides tools for unit testing, integration testing, and UI testing, enabling developers to ensure the quality and reliability of their .NET code.

UI Design: For GUI-based applications (e.g., WPF, Windows Forms, ASP.NET), Visual Studio includes designers and layout tools that simplify the process of creating user interfaces.

Source Control Integration: Visual Studio integrates with popular source control systems like Git and Team Foundation Version Control (TFVC), allowing developers to easily manage and collaborate on their codebase.

NuGet Package Management: Visual Studio has built-in support for NuGet, the package manager for .NET. It facilitates the discovery, installation, and management of third-party libraries and dependencies.

Publishing and Deployment: Visual Studio offers publishing tools that enable developers to deploy their .NET applications to various platforms, such as local servers, cloud services, or app stores.

Performance Profiling: Developers can use Visual Studio’s performance profiling tools to identify performance bottlenecks in their applications and optimize them for better efficiency.

Azure Integration: Visual Studio integrates with Microsoft Azure, enabling seamless deployment and monitoring of .NET applications in the Azure cloud environment.

Collaboration and Team Development: Visual Studio provides features for team collaboration, including code reviews, team project management, and task tracking.

Overall, Visual Studio streamlines the entire development lifecycle for .NET applications, from initial project creation to deployment and maintenance. Its extensive toolset and integration with the .NET ecosystem make it the preferred IDE for many .NET developers, offering a rich and productive development experience.


What can be used instead of Visual Studio?

Instead of Visual Studio, developers have several alternative options based on their specific needs, programming languages, technology stack, and platform preferences. Some popular alternatives to Visual Studio include...

For a .NET software project, developers have several alternatives to Visual Studio, depending on their preferences and project requirements. Some of the popular options are:

NOTE: An IDE = integrated development environment

Visual Studio Code (VS Code): While technically not a replacement for Visual Studio, VS Code is a lightweight, free, and highly extensible code editor developed by Microsoft. It is widely used for web development, cross-platform development, and scripting tasks. It supports a vast number of programming languages and offers a rich ecosystem of extensions that enhance its functionality.

JetBrains Rider: JetBrains Rider is a full-featured IDE designed for .NET development. It supports C#, F#, VB.NET, and other languages, and it provides a similar experience to Visual Studio. Rider offers advanced code analysis, refactoring tools, and tight integration with the JetBrains ecosystem.

MonoDevelop: MonoDevelop is an open-source IDE primarily focused on cross-platform development using Mono, the open-source implementation of .NET. It provides support for multiple programming languages, including C#, and offers features like code completion, debugging, and version control integration.

SharpDevelop: SharpDevelop, also known as SharpDevelop IDE, is a free and open-source alternative to Visual Studio for .NET development. It supports C# and other .NET languages and provides features like code analysis, debugging, and project management.

Visual Studio for Mac: If you are using macOS and want a native IDE for .NET development, Visual Studio for Mac is an option. It offers similar functionality to Visual Studio on Windows, supporting C#, Xamarin, and web development.

Emacs and Vim: Emacs and Vim are classic and highly configurable text editors with a devoted following. They are often preferred by power users and developers who appreciate keyboard-centric editing.

Avalonia Studio: For cross-platform application development using the Avalonia UI framework (similar to WPF), Avalonia Studio provides an IDE-like experience tailored to this specific technology.

It’s important to consider the specific features and functionalities required for your .NET project when choosing an alternative to Visual Studio. While some alternatives offer comprehensive IDE experiences, others may provide a more focused code editing environment. Additionally, developers should consider factors like cross-platform support, third-party plugin availability, and overall development workflow when making their decision.

Additional Options for other tech-stacks:

Eclipse: Eclipse is an open-source IDE known for its strong support for Java development. It also provides plugins and extensions for other languages, making it suitable for various programming projects.

IntelliJ IDEA: IntelliJ IDEA is another popular IDE by JetBrains, known for its excellent support for Java, Kotlin, and Android development. It also offers support for other languages through plugins.

NetBeans: NetBeans is an open-source IDE primarily focused on Java development. It supports other languages as well and is popular for its ease of use and robust features.

Xcode: Xcode is the official IDE for macOS and iOS development. It is used for building applications for Apple’s platforms, including macOS, iOS, watchOS, and tvOS.

Android Studio: Android Studio is the official IDE for Android app development. It provides tools and features specific to Android application development.

Atom: Atom is an open-source, highly customizable text editor suitable for web development and other programming tasks. It is known for its vibrant community and extensive library of plugins.

Sublime Text: Sublime Text is a fast and lightweight code editor that supports multiple programming languages. It is praised for its speed and simplicity.

Ultimately, the choice of IDE or code editor depends on individual preferences, project requirements, and the specific technology stack being used. Developers are encouraged to explore different options and select the one that best fits their needs and enhances their productivity. Speak with our dedicated team to find out more.

Intertech – .NET | .NET Core | Microsoft Technologies

Microsoft Gold Partner

Intertech experts can help you and your team successfully work with a wide range of .NET and associated technologies to design and develop systems and applications that improve your business processes, whether your team is made up of all in-house talent or a hybrid of in-house and on and offshore contractors.  

Core .NET Technologies:

.NET Framework: The traditional full-fledged .NET framework is designed primarily for Windows desktop and server-side applications.

.NET Core: A modular and cross-platform version of .NET designed for building modern, cloud-based, and cross-platform applications.

.NET MAUI: A cross-platform framework for creating native mobile and desktop apps with C# and XAML that helps develop apps that can run on Android, iOS, macOS, and Windows from a single code base.

ASP.NET: A web framework for building web applications using .NET. It includes ASP.NET Web Forms, ASP.NET MVC, and ASP.NET Web API.

ASP.NET Core: The cross-platform version of ASP.NET, optimized for modern web development.

Entity Framework: A popular Object-Relational Mapping (ORM) framework that simplifies database access in .NET applications.

Xamarin: A framework for building cross-platform mobile applications for iOS, Android, and Windows using .NET.

Blazor: A framework for building interactive web applications using C# and .NET instead of JavaScript.

WPF (Windows Presentation Foundation): A technology for building Windows desktop applications with rich user interfaces.

WinForms (Windows Forms): Another technology for building Windows desktop applications with a more traditional UI.

ML.NET: A machine learning framework for building custom machine learning models in .NET applications.

SignalR: A real-time communication library for enabling real-time functionality in web applications.

NOTE: “Windows Communication Framework (WCF) may be deprecated in .NET 5/6+, but it doesn’t mean your applications are going to be left out in the cold. Just like Web Forms and other .NET Framework technologies, your WCF applications will continue to work for a long time. In fact, WCF will likely work for the next two decades thanks to .NET Framework being considered part of the Windows operating system. – Q&A Microsoft” — At Intertech, we still support the following and specialize in seamless modernization development as required.

Windows Communication Foundation (WCF): A technology for building service-oriented applications and services.

Windows Workflow Foundation (WF): A framework for building workflow-enabled applications.

Windows Identity Foundation (WIF): A framework for building identity-aware applications using claims-based identity.

Windows Services: A mechanism for building long-running background services on Windows.

Other Technologies That Work with .NET:

Azure: Microsoft’s cloud computing platform that works seamlessly with .NET applications.

SQL Server: Microsoft’s relational database management system widely used with .NET applications.

Azure DevOps: A suite of development tools for planning, tracking, and deploying .NET projects.

Entity Framework Core: The cross-platform version of Entity Framework for database access in ASP.NET Core applications.

IdentityServer: An open-source authentication and authorization server compatible with .NET applications.

Angular: A popular front-end framework that can be used alongside ASP.NET to build dynamic web applications.

React: Another front-end framework that can be integrated with ASP.NET for building modern web applications.

Vue.js: A progressive JavaScript framework that can work with .NET in web development.

Redis: An in-memory data structure store that can be used for caching in .NET applications.

Docker: You can deploy applications on a microservices architecture with Docker support for ASP.NET COR PWA.

RabbitMQ: A message broker used for implementing messaging patterns in .NET applications.

Elasticsearch: A distributed search engine that can be integrated with .NET applications for advanced search capabilities.

Apache Kafka: A distributed streaming platform that can be used for real-time event processing in .NET applications.

Because the .NET ecosystem is continuously evolving, our senior consultants stay up-to-date with the newest changes while evaluating and identifying where and when to consider these changes, providing an invaluable tool when updating your system or pivoting to a new technology.

Microsoft Gold Partner

Intertech Is Different Than Other .NET Development Firms

Why Are We Different? Because we ask the unexpected questions and listen. In our 30 years of software consulting, often, what you think you need is different than what you really need. This is how we help you!

Add the experience your team needs.

Build The Best Team

We bring together the right people at the right time to strengthen your team.

Scalable Resources

Whether needed full or part time to achieve success, we mix the team to fit the requirements.

Spool Up Quickly

Our consultants have multiple project experiences and know how to get to work on your schedule.

We Begin With Everything Necessary To Ensure The Project Team Is Complete

The discovery stage is crucial when setting up the correct team to deliver your project successfully. At times this has been completed before our introduction to the project. In these cases, you may have determined that you only need specific roles added to your project teams, and that is just one way we can help augment your team. Other times clients ask us to take on this role to get an expert outside perspective. Either way, this phase is essential and must be considered to be confident that you have the right talent in place and that what you are building or modifying integrates with your existing system.

Tools & Techniques We Employee:

    • Scope Detailing
    • Analysis
    • Technical Evaluation
    • Initial Requirements Defined
    • Define Delivery Strategy and Roadmap
    • Leveling Workshops (For Your FTE Team-Members – As Needed)

Building A Strong Foundation Is The Key To Success

Converting your vision into reality requires a clear picture of requirements and the experience necessary to set a strong foundation for your new reality. Using the Software Rrequirements Analysis, the design phase encompasses how the application and users interact with each other, with the current infrastructure, and with other applications. In addition, this phase deals with architecture and UI/UX, so all the elements come together seamlessly.

Areas Considered During The Design Phase:

    • Infrastructure
    • Architecture
    • User Interface & Experience Design
    • Usability Testing

We Ensure All The Pieces Are In Place For A Successful Composition

When selecting your team, we ensure it fits your needs, not ours. Of course, top talent is a key to our success, but a proper blend is a formula for project success. At Intertech, we specialize in talent that does more than heads-down programming, but we also understand not everyone on the team needs to be a senior or billing every hour of the day. So, using what we learned in stage one and how stage two comes together, we define your team and estimate the timeline, making sure to keep you updated every step, so there are no surprises.

Areas Considered In The Build Phase:

    • Technical Requirements
    • Timeline
    • Development
    • Quality Assurance (QA) and Testing
    • Incrememntal Product Release (Faster to Market)
    • Refinement & Deployment

We Make Sure You Are In Control From Beginning to End

Following the final release, we make sure you are in control. Whether you keep us around as a trusted partner or have us hand it off to your team, we understand that a solid knowledge base is one of the most important aspects of a project. Therefore, following deployment and before we hand over the keys, we always include 30 days of monitoring and mentoring to ensure a smooth roll-off and that your internal team is in control.

Areas Considered In The Completion Phase:

    • Support & Lifecycle
    • Documentation
    • Knowledge Base Retention
    • Team Roll-Off

Our Dedicated IT Recruiting Department Augments Our Consulting Services Perfectly

If you trust your project and recruitment to someone, wouldn’t it be wise to select a firm with a proven record since 1991, helping major companies like GE Healthcare, NASA, Best Buy, and others modernize or pivot to new technologies? Utilizing a proven formula that combines world-class software development, hands-on education and mentoring, and dedicated IT recruiting, Intertech’s clients have found success building software while building their in-house team for the long haul.

Areas Considered In The Recruit & Hire Phase:

  • Ad Placement
  • Technical Testing
  • Personality Assessment
  • Technical Team Interview
  • Hand-off To You For Internal Assessment



Custom Software Development

Intertech’s custom CI/CD, Agile & DevOps-based software development services combine everything you need, including assessments, design, architecture, development, testing, delivery, and deployment.

Application Modernization & API Customization

Whether evaluating your platform and determining if it should be kept, extended, or replaced… or diving right in to update and customize, we spool up quickly.

Front End (Client-Side) Development

Your front end is where the user gets to know you, from the graphical user interface to everything that makes up the experience. Our consultants specialize in the tools and techniques required to ensure you create an application your employees and customers love to use with the functionality you expect.

Back End (Server-Side) Development

Your front end may be what everyone sees and interacts with, but your back end is doing all the work. Let Intertech’s consultants help you get every response served up quickly and accurately while injecting the experience you need so the tough questions are asked.

Web Framework: 2-Tier or 3-Tier & API-Driven

Whether you have decided on a more traditional 2-tier framework (Client Side & Server-Side), a more independently tiered (3-tier) framework (Client-Side, Processing-Logic-Side, & Data-Side), or an API-Driven | Microservices architecture, our experts can help you create what you need or assist your team with design and development.

Summary Of All Software Consulting Services

Micro-Size Your Monolith with Architecture-Driven Solutions

Let us help your team convert your monolith to a manageable micros-sized, service-based suite with proven application architecture expertise.

Intelligent Business Process Automation (BPA) & Optimization

Whether it is part of the modernization process or a completely new solution, automating and optimizing your workflows to eliminate manual tasks is what we do. Let’s implement technology-based solutions that retain your best talent, eliminate manual errors, and make your job easier.

Azure Development, Migration & Integration

Integration onto the cloud and away from existing infrastructure can take many forms, whether you have selected a multi, hybrid, or a single-service solution. We create and integrate your applications no matter which option you have chosen. As a Microsoft Gold Partner and AWS development partner, we bring incites that can help from start to finish.

Agile, CI/CD & DevOps Resource Library

We don’t just consult companies on Agile; we live Agile and the various forms of development agility. It’s how we run our business, manage our day-to-day operations, and drive the faster deployment of the necessities.

Decision-Makers Corner

Tips and tricks to help you succeed as an IT manager and thought leader!