Golang Development Company

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.

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Power BI
N8n
Open AI
Microsoft Copilot
Gemini
Numpy
Google Cloud Vision API
Google Data Studio
Tableau
Pandas
Haptik
Agentic AI Development
Haystack
Azure AI Foundry
CrewAI
LlamaIndex
Agentic Ai
Langchain
Pydantic AI
Agno
Accelirate

Golang Development Services for Scalable, Concurrent Applications

We leverage Go’s performance and simplicity to build fast, fault-tolerant systems.

Custom AI Solutions

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.

Custom Go Backend Development

Build scalable and fast backend services using idiomatic Go and standard libraries.

API & Microservices Architecture

Create RESTful or gRPC APIs and break monolithic systems into distributed Go microservices.

High-Performance Real-Time Systems

Develop low-latency applications such as messaging systems, game servers, and data pipelines.

Golang for DevOps Tools

Build internal tools or CLI apps for automation, deployment, and monitoring.

Concurrent Task Processing

Implement goroutines and channels for parallel processing and background job execution.

Go with PostgreSQL/MongoDB/Redis

Integrate Go applications with leading databases and caching systems.

Go Application Optimization

Tune memory, concurrency, and performance for large-scale applications.

Industries we transform with our custom Golang Development

Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.

Technology Stack Utilization by Our Golang Developers

Our Go developers use a powerful stack to deliver low-latency, concurrent, and cloud-ready systems.

Core Language & Frameworks

  • Go (1.21+)
  • Gin
  • Apache Echo
  • Fiber
  • Chi
  • Revel

API & Communication

  • REST
  • gRPC
  • Protocol Buffers
  • GraphQL (gqlgen)
  • OpenAPI / Swagger

Database & Storage

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • GORM
  • sqlc
  • pgx

Concurrency & Messaging

  • Goroutines
  • Channels
  • Kafka
  • RabbitMQ
  • NATS

Testing & Observability

  • Go Test
  • Testify
  • Benchmarking
  • Jaeger
  • Prometheus
  • Grafana
  • Zap / Logrus (Logging)

Deployment & DevOps

  • Docker
  • Kubeflow
  • Kubernetes
  • GitHub Actions
  • CircleCI
  • Terraform
  • AWS / GCP / Azure

Technologies We Use in Combination with Golang

We combine Golang with modern data, messaging, and deployment tools to build efficient full-stack systems.

Golang + gRPC

Build blazing-fast communication between services using protocol buffers and gRPC.

Golang + PostgreSQL

Use PostgreSQL for relational data with libraries like GORM and sqlc.

Golang + Redis

Enable caching, pub/sub messaging, and session storage for high-speed access.

Golang + Kafka

Process data streams and build event-driven systems with Apache Kafka.

Golang + Docker

Containerize applications for scalable, reproducible deployments.

Golang + React

Serve Go APIs to frontend frameworks like React for high-performance UIs.

Our featured success stories in Golang Development

Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.

View all case studies

AI-Powered Parking Spot Detection System for Real-Time Parking Management

Developed an AI-driven system for real-time detection and management of parking spots, improving urban parking efficiency and reducing congestion.

  • Real-Time Video Processing
  • Deep Learning Model
  • Web Application Integration
AI-Powered Parking Spot Detection System for Real-Time Parking Management

Hair Disease Classification System Using Deep Learning

Created a deep learning-based web tool to accurately classify various hair and scalp diseases, aiding early diagnosis and medical education.

  • Pretrained InceptionV3 Model
  • Image Classification
  • Interactive Web Interface
Hair Disease Classification System Using Deep Learning

Multi-Format Document Interaction Using AI Chatbot

Developed an AI chatbot enabling seamless interaction with multi-format documents, enhancing information retrieval and user engagement.

  • Multi-Format Document Support
  • AI-Powered Chatbot
  • Natural Language Processing
Multi-Format Document Interaction Using AI Chatbot

Stock Price Prediction Using LSTM Neural Networks

Implemented an LSTM-based deep learning model to predict stock prices, helping users make informed investment decisions through accurate forecasting.

  • Time Series Data Analysis
  • LSTM Neural Network
  • Financial Market Forecasting
Stock Price Prediction Using LSTM Neural Networks

AI-Powered Attendance System with Face Recognition

Developed a face recognition-based automated attendance system to enhance accuracy and efficiency in managing attendance records in real time.

  • Face Recognition Technology
  • Real-Time Attendance Tracking
  • Automated Report Generation
AI-Powered Attendance System with Face Recognition

AI-Based Customer Feedback Analysis Tool for Sentiment & Trend Insights

Implemented an AI-driven tool to analyze customer feedback, providing sentiment analysis and trend detection to help businesses improve customer satisfaction.

  • Natural Language Processing (NLP)
  • Sentiment Analysis
  • Trend Identification
AI-Based Customer Feedback Analysis Tool for Sentiment & Trend Insights

Real-Time License Plate Recognition System

Developed a real-time license plate recognition system to automate vehicle identification, enhancing security and traffic management efficiency.

  • Computer Vision
  • Optical Character Recognition (OCR)
  • Edge Computing Deployment
Real-Time License Plate Recognition System

Personalized Learning Recommendation Engine for EdTech

Created a personalized learning recommendation engine to tailor educational content based on student performance and preferences, boosting engagement and outcomes.

  • Machine Learning Algorithms
  • Data Analytics
  • Adaptive Learning Models
Personalized Learning Recommendation Engine for EdTech

AI Chatbot for Legal Document Summarization

Developed an AI chatbot to automatically summarize complex legal documents, making legal information more accessible and easier to understand for users.

  • Natural Language Processing (NLP)
  • AI Chatbot Integration
  • Document Summarization
AI Chatbot for Legal Document Summarization

Expert insights and trends from our software development team

Explore expert articles on the latest software development trends and best practices to stay ahead in the industry.

Real-World Impact, Powered by AI

Explore how our solutions solve complex challenges across industries—making processes smarter, faster, and more human-centric.

92%

Achieved a remarkable 92% improvement in diagnostic accuracy, ensuring reliable results

85%

Reduced diagnosis time by 85%, enabling faster clinical decisions and patient care

How Deep Learning Transforms Hair Disease Diagnosis

An AI-powered solution that makes scalp condition detection faster, smarter, and more accessible for both patients and professionals.

How AI Makes Attendance Smarter & Faster

A face-recognition system that streamlines attendance tracking while enhancing accuracy and security.

99.5%

Accuracy in facial recognition across diverse conditions

55%

Reduction in attendance processing time

90%

Accuracy in predicting relevant learning content

50%

Reduction in content discovery time

How AI Personalizes Learning in EdTech

An intelligent recommendation engine that tailors content to each learner, improving discovery and engagement.