Golang (Go) is a statically typed, compiled language designed for building high-performance, scalable systems. At Tatvaflow, we use Go to develop backend systems, APIs, and cloud-native applications that demand speed, concurrency, and reliability. Its minimalistic syntax and powerful concurrency model make it ideal for building services that scale efficiently under load.
Book a Consultation Call Book a Consultation CallWe leverage Go’s performance and simplicity to build fast, fault-tolerant systems.
At Tatvaflow, we design and implement AI-powered solutions tailored to your business needs. These solutions improve decision-making, enhance operational efficiency, and drive better customer outcomes through intelligent automation.
Build scalable and fast backend services using idiomatic Go and standard libraries.
Create RESTful or gRPC APIs and break monolithic systems into distributed Go microservices.
Develop low-latency applications such as messaging systems, game servers, and data pipelines.
Build internal tools or CLI apps for automation, deployment, and monitoring.
Implement goroutines and channels for parallel processing and background job execution.
Integrate Go applications with leading databases and caching systems.
Tune memory, concurrency, and performance for large-scale applications.
Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.
Our Go developers use a powerful stack to deliver low-latency, concurrent, and cloud-ready systems.
We combine Golang with modern data, messaging, and deployment tools to build efficient full-stack systems.
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