Next.js is a leading React framework for building fast, SEO-friendly, and scalable web applications. At Tatvaflow, we use Next.js to develop server-rendered apps, static sites, and dynamic platforms that perform exceptionally across devices. Its hybrid rendering and powerful routing features make it ideal for both startups and enterprise-grade solutions.
Book a Consultation Call Book a Consultation CallOur team leverages Next.js to create modern web solutions with great performance and search engine visibility.
Build robust web applications using a hybrid architecture combining static and dynamic rendering.
Enhance discoverability with server-side rendering and built-in SEO features of Next.js.
Deliver lightning-fast websites with pre-rendered HTML pages using Next.js’s static generation capabilities.
Power content-driven applications by integrating Next.js with CMS platforms like Strapi, Contentful, and Sanity.
Develop fast-loading, scalable e-commerce platforms using Next.js, Stripe, and headless Shopify.
Seamlessly integrate with REST, GraphQL, Firebase, or custom backends for dynamic content handling.
Modernize your existing website or React SPA by migrating it to Next.js for better performance and SEO.
Improve speed and user experience with image optimization, lazy loading, and Lighthouse-driven performance tuning.
Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.
We use a comprehensive stack to build modern, SEO-friendly, and high-performance apps with Next.js.
We combine Next.js with modern APIs, design systems, and backend stacks to build full-featured digital products.
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.
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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