Web Application Development Company - Web Application Development Services in Vietnam

We utilize ReactJS, a leading front-end framework, for SaaS and front-end intensive projects, capitalizing on its vast community and long-term supported libraries.

We use the power of Vue2 and Vue3 for projects demanding a reliable framework with solid performance, benefiting from their exceptional two-way binding capabilities for seamless interactivity.

We have specialized in Angular since its inception in 2014, starting with the first version, AngularJS (Angular 1).

We utilize JavaScript for comprehensive front-end, back-end web development, and mobile app creation, ensuring seamless, interactive user experiences.

We utilize D3, a JavaScript library, to create stunning SVG visualizations driven by data, enabling rich and interactive visual experiences.

We utilize Python for API development, CRM and ERP software, and advanced data processing. Python's flexibility and efficiency enable us to build robust, scalable solutions for diverse business requirements, ensuring top-notch functionality and user experience.

We utilize Java for OOP-centric enterprise applications, following strict development models for government and enterprise clients, ensuring robust, reliable solutions.

We rely on Node.js for building high-performance APIs and real-time applications.

We utilize .NET for enterprise software development, as well as desktop app development, to create robust and efficient solutions for businesses of various sizes.

We utilize PHP for rapid web development, including CMS and web application development. Our success is evidenced by our satisfied clients who have benefited from our expertise in PHP-based solutions.

We utilize JavaScript for comprehensive front-end, back-end web development, and mobile app creation, ensuring seamless, interactive user experiences.

We primarily utilize Ruby with its Rails framework (RoR) for building dynamic web applications, leveraging its efficiency and convention-over-configuration philosophy.

Golang, renowned for its simplicity and performance, excels in concurrency, making it ideal for scalable, high-performance optimization tasks.

As a leading cloud platform, we have AWS-certified developers who excel at building best-practice architectures on AWS for optimal performance and scalability.

GCP stands out as a cloud marketplace offering professional services, providing scalable solutions and expert support for diverse business cloud computing needs.

Azure, the amazing cloud platform, is specifically designed to support .NET applications with its robust infrastructure and comprehensive set of services.

Customer Relationship Management (CRM) platform, offering a suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.

Shopify, a leading e-commerce platform, offers user-friendly solutions to create, manage, and scale online stores quickly and efficiently. We develop themes, apps, and integrations.

Adobe Commerce, also known as Magento, is one of the most powerful and versatile e-commerce platforms available today.

Cohere provides powerful AI models that enable developers and enterprises to build LLM-powered applications with ease. Its technology enhances natural language understanding, making it ideal for search, content generation, and business automation.

Qdrant is an open-source vector database and similarity search engine built to efficiently process high-dimensional vectors, making it ideal for large-scale AI applications.

Pinecone is a vector database for machine learning applications. It fosters vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.

Chroma is an open-source AI application database with built-in features like embeddings, vector search, document storage, full-text search, and metadata filtering.

Txtai is an all-in-one embedding database framework for semantic search, LLM orchestration, and language model workflows.

Haystack is an end-to-end LLM framework that allows developers to build applications powered by LLMs, transformer models, vector search, and more.

LlamaIndex is a versatile data framework designed to connect custom data sources to LLMs seamlessly. It provides tools for ingesting and processing data to create indices for efficient querying.

LangChain is a framework for developing applications powered by large language models. It abstracts away the complexities of interacting with LLM APIs and managing LLM workflows.

AWS offers a suite of AI services that empower businesses to build, train, and deploy lLLMs at scale. With high-performance infrastructure, it enables smooth integration of LLM-powered applications for diverse use cases.

Weaviate is an open-source, AI-native vector database designed to streamline the development of intuitive and reliable AI-powered solutions.

Claude, developed by Anthropic, is an advanced AI assistant designed with Constitutional AI to prioritize safety, accuracy, and security. It efficiently processes large volumes of information, making it a reliable and intelligent tool for various tasks.

Mistral AI is a pioneering independent AI lab committed to sustainability and innovation. It focuses on delivering impactful solutions and specializes in open-weight LLMs.

Qwen is a family of large language models developed by Alibaba Cloud. Qwen Chat provides diverse capabilities, including chatbot interactions, image and video analysis, image generation, document processing, and web search integration.

Gemma is a series of cutting-edge, lightweight open models developed using the same research and technology behind the Gemini models. They deliver outstanding benchmark performance across 2B, 7B, 9B, and 27B parameter sizes.

Gemini is a large language model developed by Google. It’s designed to understand and generate human-like text, making it able to perform a wide range of tasks.

Microsoft's Phi is a family of efficient small language models (SLMs) that deliver exceptional performance with minimal cost and latency. Designed for generative AI, these compact models require less computing power while maintaining high effectiveness.

Llama, developed by Meta, is an open-source AI model that can be fine-tuned, distilled, and deployed anywhere. It enhances text-based applications with improved quality and performance at a lower cost.

OpenAI is a leading artificial intelligence research organization focused on creating advanced AI technologies. It assists software development by providing powerful AI models and tools that enhance automation, natural language processing, and data analysis capabilities.

Ollama is an open-source platform that simplifies running and deploying LLMs locally. It provides an easy-to-use interface for developers to experiment with AI models without complex infrastructure.

Giskard is an evaluation and testing framework for AI systems. The purpose is to control risks of performance, bias, and security issues in AI.

Google provides access to advanced AI models for text embedding through its various cloud platforms and APIs.

Voyage AI provides API endpoints for embedding and reranking models that take in the data and return their embeddings or relevance scores.

BGE is short for BAAI general embedding, a model that transforms any given English text into a compact vector.

Sentence Transformers is a widely used Python module for leveraging and training advanced text and image embedding models. It enables users to generate embeddings and compute similarity scores.

Nomic AI focuses on making AI more accessible and understandable for everyone. It empowers users to explore vast datasets, helping them generate, store, and retrieve embeddings for up to tens of millions of unstructured data.

Together AI offers open access to LLMs with a focus on efficiency, scalability, and collaboration. It provides cloud-based infrastructure and optimization tools, allowing developers to train, fine-tune, and deploy LLMs smoothly.

Groq provides open access to LLMs through its high-speed inference technology, enabling users to run AI models with ultra-low latency. With cloud-based services and efficient hardware acceleration, it offers a way to interact with LLMs in real time.

Ragas is a robust framework built to evaluate and improve the context of Retrieval-Augmented Generation (RAG) pipelines.

Hugging Face is an open AI community that provides tools, models, and datasets for building and sharing machine learning applications. It fosters collaboration among developers and researchers, making AI more accessible and efficient.

ExtractThinker is a flexible document intelligence tool that leverages LLMs to extract and classify structured data from documents. It functions like an ORM for seamless document processing workflows.

Docling simplifies document processing, parsing diverse formats, including advanced PDF understanding. It provides smooth integrations with the gen AI ecosystem.

MegaParse is a robust and flexible parser designed to process diverse document types seamlessly. Whether working with text, PDFs, PowerPoint presentations, or Word documents, it ensures accurate parsing with no information loss.

ScrapeGraphAI is a Python library for web scraping that leverages LLM and direct graph logic to build scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, and more.)

Firecrawl is an API service that extracts and converts webpage content into clean markdown or structured data. It automatically crawls all accessible subpages, providing well-organized data without needing a sitemap.

Crawl4AI is an open-source service designed for real-time performance and flexibility. It provides ultra-fast, AI-optimized web crawling for LLMs, AI agents, and data pipelines.

Milvus is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information.

It's widely used for log and full-text search, real-time analytics, and application monitoring.

We began working with MongoDB very soon after its emergence in 2013, eventually cultivating a partnership with MongoDB Atlas for large-scale projects.