.NET is a powerful, enterprise-grade framework developed by Microsoft for building secure, scalable, and cross-platform applications. At Tatvaflow, we use .NET to craft high-performance web apps, APIs, and cloud-native solutions that meet complex business needs. Its vast ecosystem, strong tooling, and seamless integration with Azure make it ideal for building modern enterprise systems.
Book a Consultation Call Book a Consultation CallWe help businesses build high-performing .NET solutions with a focus on security, scalability, and long-term maintainability.
Create secure, scalable, and feature-rich web applications using ASP.NET Core.
Rebuild legacy .NET or Windows-based systems into modern cloud-native architectures.
Build RESTful or GraphQL APIs with ASP.NET Core for web, mobile, and third-party integrations.
Break monolithic systems into independently deployable .NET microservices.
Use .NET MAUI or Xamarin to build applications that run on Windows, Android, and iOS from a single codebase.
Build and deploy cloud-ready apps using Azure App Services, Functions, and DevOps pipelines.
Design robust data models with Entity Framework, SQL Server, and NoSQL databases.
Provide ongoing updates, performance tuning, and bug fixing for existing .NET applications.
Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.
Our .NET developers use a complete enterprise-grade stack to build scalable, secure, and modern applications.
We integrate .NET with modern frontend frameworks, cloud platforms, and data systems for seamless digital experiences.
Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.
View all case studiesDeveloped an AI-driven system for real-time detection and management of parking spots, improving urban parking efficiency and reducing congestion.
Created a deep learning-based web tool to accurately classify various hair and scalp diseases, aiding early diagnosis and medical education.
Developed an AI chatbot enabling seamless interaction with multi-format documents, enhancing information retrieval and user engagement.
Implemented an LSTM-based deep learning model to predict stock prices, helping users make informed investment decisions through accurate forecasting.
Developed a face recognition-based automated attendance system to enhance accuracy and efficiency in managing attendance records in real time.
Implemented an AI-driven tool to analyze customer feedback, providing sentiment analysis and trend detection to help businesses improve customer satisfaction.
Developed a real-time license plate recognition system to automate vehicle identification, enhancing security and traffic management efficiency.
Created a personalized learning recommendation engine to tailor educational content based on student performance and preferences, boosting engagement and outcomes.
Developed an AI chatbot to automatically summarize complex legal documents, making legal information more accessible and easier to understand for users.
Explore expert articles on the latest software development trends and best practices to stay ahead in the industry.
Explore how our solutions solve complex challenges across industries—making processes smarter, faster, and more human-centric.
Achieved a remarkable 92% improvement in diagnostic accuracy, ensuring reliable results
Reduced diagnosis time by 85%, enabling faster clinical decisions and patient care
Accuracy in facial recognition across diverse conditions
Reduction in attendance processing time