Best Artificial Intelligence Software for C# - Page 6

Compare the Top Artificial Intelligence Software that integrates with C# as of August 2025 - Page 6

This a list of Artificial Intelligence software that integrates with C#. Use the filters on the left to add additional filters for products that have integrations with C#. View the products that work with C# in the table below.

  • 1
    GPT Pilot

    GPT Pilot

    Pythagora

    GPT Pilot is an open-source AI tool that acts as a full AI developer, capable of generating production-ready applications with minimal human input. Unlike simple code autocompletion tools, GPT Pilot can write complete features, debug code, communicate about issues, and even request code reviews. This tool aims to push the boundaries of AI-assisted software development by handling up to 95% of coding tasks, while leaving the final 5% to developers. It’s built to integrate with platforms like VS Code, enabling developers to collaborate seamlessly with AI in real-time.
    Starting Price: Free
  • 2
    DeepSeek R2

    DeepSeek R2

    DeepSeek

    DeepSeek R2 is the anticipated successor to DeepSeek R1, a groundbreaking AI reasoning model launched in January 2025 by the Chinese AI startup DeepSeek. Building on R1’s success, which disrupted the AI industry with its cost-effective performance rivaling top-tier models like OpenAI’s o1, R2 promises a quantum leap in capabilities. It is expected to deliver exceptional speed and human-like reasoning, excelling in complex tasks such as advanced coding and high-level mathematical problem-solving. Leveraging DeepSeek’s innovative Mixture-of-Experts architecture and efficient training methods, R2 aims to outperform its predecessor while maintaining a low computational footprint, potentially expanding its reasoning abilities to languages beyond English.
    Starting Price: Free
  • 3
    Gemma 3

    Gemma 3

    Google

    Gemma 3, introduced by Google, is a new AI model built on the Gemini 2.0 architecture, designed to offer enhanced performance and versatility. This model is capable of running efficiently on a single GPU or TPU, making it accessible for a wide range of developers and researchers. Gemma 3 focuses on improving natural language understanding, generation, and other AI-driven tasks. By offering scalable, powerful AI capabilities, Gemma 3 aims to advance the development of AI systems across various industries and use cases.
    Starting Price: Free
  • 4
    ERNIE 4.5
    ERNIE 4.5 is a cutting-edge conversational AI platform developed by Baidu, leveraging advanced natural language processing (NLP) models to enable highly sophisticated human-like interactions. The platform is part of Baidu’s ERNIE (Enhanced Representation through Knowledge Integration) series, which integrates multimodal capabilities, including text, image, and voice. ERNIE 4.5 enhances the ability of AI models to understand complex context and deliver more accurate, nuanced responses, making it suitable for various applications, from customer service and virtual assistants to content creation and enterprise-level automation.
    Starting Price: $0.55 per 1M tokens
  • 5
    ERNIE X1 Turbo
    ERNIE X1 Turbo, developed by Baidu, is an advanced deep reasoning AI model introduced at the Baidu Create 2025 conference. Designed to handle complex multi-step tasks such as problem-solving, literary creation, and code generation, this model outperforms competitors like DeepSeek R1 in terms of reasoning abilities. With a focus on multimodal capabilities, ERNIE X1 Turbo supports text, audio, and image processing, making it an incredibly versatile AI solution. Despite its cutting-edge technology, it is priced at just a fraction of the cost of other top-tier models, offering a high-value solution for businesses and developers.
    Starting Price: $0.14 per 1M tokens
  • 6
    Amazon Q Business
    Amazon Q Business is a fully managed, generative AI–powered assistant designed to help employees find information, gain insights, and take action at work. It enables users to interact using natural language to request information, generate content, or create lightweight apps that automate workflows. It provides a unified search experience across systems and data, delivering quick, accurate, and relevant answers to complex questions based on documents, images, audio, and video files, and other application data, with results including citations and references for transparency. Users can interact with Amazon Q Business through its web-based conversational interface in browsers like Microsoft Edge, Google Chrome, and Mozilla Firefox, as well as in applications like Slack, Microsoft Outlook, Word for Microsoft 365, and Microsoft Teams. With Amazon Q Apps, users can automate prompting, content creation, workflows, and tasks by describing requirements in their own words.
    Starting Price: $20 per month
  • 7
    Gemini 2.5 Pro Preview (I/O Edition)
    Gemini 2.5 Pro Preview (I/O Edition) by Google is an advanced AI model designed to streamline coding tasks and enhance web app development. This powerful tool allows developers to efficiently transform and edit code, reducing errors and improving function calling accuracy. With enhanced capabilities in video understanding and web app creation, Gemini 2.5 Pro Preview excels at building aesthetically pleasing and functional web applications. Available through Google’s Gemini API and AI platforms, this model provides a seamless solution for developers to create innovative applications with improved performance and reliability.
    Starting Price: $19.99/month
  • 8
    Roost.ai

    Roost.ai

    Roost.ai

    Roost.ai is an AI-powered software testing platform that leverages generative AI and large language models (LLMs) like GPT-4, Gemini, Claude, and Llama3 to automate the generation of unit and API test cases, ensuring 100% test coverage. It integrates seamlessly with existing DevOps tools such as GitHub, GitLab, Bitbucket, Azure DevOps, Terraform, and CloudFormation, enabling automated test updates in response to code changes and pull requests. Roost.ai supports multiple programming languages, including Java, Go, Python, Node.js, and C#, and can generate tests for various frameworks like JUnit, TestNG, pytest, and Go's standard testing package. It also facilitates the creation of ephemeral test environments on demand, streamlining acceptance testing and reducing the time and resources required for quality assurance. By automating repetitive testing tasks and enhancing test coverage, Roost.ai empowers development teams to focus on innovation and accelerate release cycles.
  • 9
    AiXcoder

    AiXcoder

    AiXcoder

    Leave Artificial Intelligence to AIXcoder. Leave Real Intelligence to Human. The offline version is released! Your code is safe on your computer locally. AiXcoder works in smooth locally with state of art deep learning model compression techniques. The models are trained with a massive amount of open source code. And adapted to several areas. A search window is seamlessly integrated into IDE with the ability to search open-source code on GitHub. Deep learning is used to filter high-quality code as search results. Search API usage and examples. Search similar code to avoid duplicated coding. Project Level Personalized Training: Train models on personal project and computer. Enterprise Level Customized Training: Train models on code base and enterprise server. Based on standard model, personalized and customized training will learn the patterns and rules in your proprietary code.
  • 10
    OpenAI Codex
    OpenAI Codex is an advanced AI coding tool designed to assist software developers by automating many tasks in their coding workflow. It allows users to delegate tasks such as writing features, answering codebase questions, running tests, and proposing pull requests (PRs) for review. Codex works in parallel, handling multiple tasks simultaneously in secure cloud sandboxes preloaded with your repository. This tool helps developers move through their backlog faster and more efficiently, making it an invaluable asset for teams looking to streamline their development process.
  • 11
    LEADTOOLS Imaging SDK
    LEADTOOLS Imaging SDK Technology includes the tools developers need to add powerful imaging technology to their applications. Based on more than 32 years of imaging development, LEADTOOLS Imaging features include more than 150 image formats, image compression, more than 200 image processing functions, image viewers, common dialogs, more than 200 display effects, TWAIN, and WIA scanning, screen capture, and printing. With LEADTOOLS, developers can create applications to load, save, and convert many industry-standard and proprietary formats. LEAD Technologies is committed to maintaining and expanding the most comprehensive support of file formats on the market, and currently supports more than 150 raster, vector, and document file formats and sub-formats.
  • 12
    ERNIE Bot
    ERNIE Bot is an AI-powered conversational assistant developed by Baidu, designed to facilitate seamless and natural interactions with users. Built on the ERNIE (Enhanced Representation through Knowledge Integration) model, ERNIE Bot excels at understanding complex queries and generating human-like responses across various domains. Its capabilities include processing text, generating images, and engaging in multimodal communication, making it suitable for a wide range of applications such as customer support, virtual assistants, and enterprise automation. With its advanced contextual understanding, ERNIE Bot offers an intuitive and efficient solution for businesses seeking to enhance their digital interactions and automate workflows.
    Starting Price: Free
  • 13
    Lexalytics

    Lexalytics

    Lexalytics

    Integrate our text analytics APIs to add world-leading NLP into your product, platform, or application. The most feature-complete NLP feature stack on the market, 19 years in development and constantly being improved with new libraries, configurations, and models. Determine whether a piece of writing is positive, negative, or neutral. Sort and organize documents into customizable groups. Determine the expressed intent of customers and reviewers. Find people, places, dates, companies, products, jobs, titles, and more. Deploy our text analytics and NLP systems across any combination of on-premise, private cloud, hybrid cloud, and public cloud infrastructure. Our core text analytics and natural language processing software libraries are at your command. Suitable for data scientists and architects who want complete access to the underlying technology or who need on-premise deployment for security or privacy reasons.
  • 14
    Salience

    Salience

    Lexalytics

    Text analytics and NLP software libraries for on-premise deployment or integration. Integrate Salience into your enterprise business intelligence architecture or white label it inside your own data analytics product. Salience can process 200 tweets per second while scaling from single process cores to entire data centers with a small memory footprint. Use Java, Python, .NET/C# bindings for higher level ease or the native C/C++ interface for maximum speed. Enjoy full access to the underlying technology. Tune every text analytics function and NLP feature, from tokenization and part of speech tagging to sentiment scoring, categorization, theme analysis, and more. Built on a pipeline model of NLP rules and machine learning models. When issues arise, see exactly where they are in the pipeline. Adjust specific features without disrupting the larger system. Salience runs entirely on your servers while staying flexible enough to offload insensitive data to cloud servers.
  • 15
    Kodezi

    Kodezi

    Kodezi

    Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly for programmers. Generate, ask, search, and code anything in your codebase with KodeziChat. Your personal AI coding assistant! Kodezi doesn't just fix your code for you, it tells you why it’s wrong and how to prevent future bugs. Reduce unnecessary lines of code and syntax to ensure clean end results. Optimize your code for optimum efficiency. Debug code with detailed explanations. Swap from one framework or language to another in an instant, without losing context. When writing code, commenting and explanations are crucial for future maintenance. Generate code from text, input a project question or create an entire function all in seconds! Generate your code documentation. Translate code to another language. Optimize your code for optimum efficiency. Use our extension within your own IDE, never have to rely on opening up new tabs ever again.
  • 16
    Cosine Genie
    Whether it’s high-level or nuanced, Cosine can understand and provide superhuman level answers. We're not just an LLM wrapper – we combine multiple heuristics including static analysis, semantic search and others. Simply ask Cosine how to add a new feature or modify existing code and we’ll generate a step by step guide. Cosine indexes and understands your codebase on multiple levels. From a graph relationship between files and functions to a deep semantic understanding of the code, Cosine can answer any question you have about your codebase. Genie is the best AI software engineer in the world by far - achieving a 30% eval score on the industry standard benchmark SWE-Bench. Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.
  • 17
    Gemma

    Gemma

    Google

    Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs.
  • 18
    Gemma 2

    Gemma 2

    Google

    A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content.
  • 19
    KaneAI

    KaneAI

    LambdaTest

    Advanced AI-powered platform built on modern Large Language Models (LLMs). A unique approach to create, debug, and evolve end to end tests using natural language. Test generation & evolution effortlessly using natural language inputs, simplifying the testing process with intelligent automation. Intelligent test planner automatically generates and automates test steps using high-level objectives. Multi-language code export converts your automated tests in all major languages and frameworks. Convert your actions into natural language instructions to generate bulletproof tests. Express sophisticated conditions and assertions in natural language. As easy as conversing and communicating with your team. Convey the same instructions to KaneAI and watch it automate your tests. Generate your tests with just high-level objectives. Develop tests across your stack on both web and mobile devices for extensive test coverage.
  • 20
    HACARUS Check

    HACARUS Check

    HACARUS Inc.

    HACARUS' AI Core is uniquely differentiated in that it is able to create highly accurate defect detection models from small data sets, trained with only good data, and can be adapted to changing production conditions with simple adjustments. HACARUS Check AI software is a complete inspection software suite, built with the human operator in mind. The intuitive application features a full graphical interface and allows for the creation of powerful AI models with ease. Training a new inspection model requires only a small, good only, data set, and predictions are near instantaneous. Defects detected are highlighted with helpful features such as bounding boxes and heat maps.
  • 21
    Gemini 2.0 Flash-Lite
    Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects.
  • 22
    Gemini 2.0 Pro
    Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges.
  • 23
    Artelys Knitro
    Artelys Knitro is a leading solver for large-scale nonlinear optimization problems, offering a suite of advanced algorithms and features to address complex challenges across various industries. It provides four state-of-the-art algorithms: two interior-point/barrier methods and two active-set/sequential quadratic programming methods, enabling efficient and robust solutions for a wide range of optimization problems. Additionally, Knitro includes three algorithms specifically designed for mixed-integer nonlinear programming, incorporating heuristics, cutting planes, and branching rules to effectively handle discrete variables. Key features of Knitro encompass parallel multi-start capabilities for global optimization, automatic and parallel tuning of option settings, and smart initialization strategies for rapid infeasibility detection. The solver supports various interfaces, including object-oriented APIs for C++, C#, Java, and Python.
  • 24
    Augoor

    Augoor

    Augoor

    Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships.
  • 25
    ERNIE X1
    ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.
    Starting Price: $0.28 per 1M tokens
  • 26
    AlphaCodium
    AlphaCodium is a research-driven AI tool developed by Qodo to enhance coding with iterative, test-driven processes. It helps large language models improve their accuracy by enabling them to engage in logical reasoning, testing, and refining code. AlphaCodium offers an alternative to basic prompt-based approaches by guiding AI through a more structured flow paradigm, which leads to better mastery of complex code problems, particularly those involving edge cases. It improves performance on coding challenges by refining outputs based on specific tests, ensuring more reliable results. AlphaCodium is benchmarked to significantly increase the success rates of LLMs like GPT-4o, OpenAI o1, and Sonnet-3.5. It supports developers by providing advanced solutions for complex coding tasks, allowing for enhanced productivity in software development.
  • 27
    Gemini 2.5 Flash
    Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency.
  • 28
    DeepSeek-Coder-V2
    DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources.
  • 29
    Mistral Code

    Mistral Code

    Mistral AI

    Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments.
  • 30
    Gemini 2.5 Flash-Lite
    Gemini 2.5 is Google DeepMind’s latest generation AI model family, designed to deliver advanced reasoning and native multimodality with a long context window. It improves performance and accuracy by reasoning through its thoughts before responding. The model offers different versions tailored for complex coding tasks, fast everyday performance, and cost-efficient high-volume workloads. Gemini 2.5 supports multiple data types including text, images, video, audio, and PDFs, enabling versatile AI applications. It features adaptive thinking budgets and fine-grained control for developers to balance cost and output quality. Available via Google AI Studio and Gemini API, Gemini 2.5 powers next-generation AI experiences.