Best Artificial Intelligence Software for PromptX
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Compare the Top Artificial Intelligence Software that integrates with PromptX as of May 2026
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This a list of Artificial Intelligence software that integrates with PromptX. Use the filters on the left to add additional filters for products that have integrations with PromptX. View the products that work with PromptX in the table below.
What is Artificial Intelligence Software for PromptX?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for PromptX currently available using the table below. This list is updated regularly.
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1
MongoDB Atlas
MongoDB
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.Starting Price: $0.08/hour -
2
Microsoft 365
Microsoft
Microsoft 365 is a cloud-based productivity platform that combines familiar tools like Word, Excel, PowerPoint, Outlook, and Teams into one integrated solution. With the addition of Microsoft 365 Copilot, AI capabilities are built directly into these applications to enhance productivity and streamline everyday tasks. Users can draft documents, analyze data, create presentations, and manage emails more efficiently with intelligent assistance. The platform allows seamless collaboration across teams by enabling real-time editing, file sharing, and communication. Microsoft 365 also includes cloud storage through OneDrive, ensuring users can access their files from anywhere. Copilot helps users generate content, summarize information, and provide insights based on their data. The system is designed to support both personal and professional workflows with flexibility across desktop, web, and mobile devices.Starting Price: $9.99/month -
3
Notion
Notion Labs
Notion is a highly versatile and collaborative workspace designed to help individuals and teams manage documents, wikis, projects, and tasks efficiently. It offers a wide array of features like customizable views for workflows, project tracking, and document creation, all within a single platform. Notion allows users to create a shared knowledge base, organize notes, and collaborate seamlessly on content creation. Additionally, its built-in AI assistance features help users summarize, write, and instantly search for relevant content, significantly enhancing productivity. The platform integrates effortlessly with other popular apps such as Slack, Google Drive, and Trello, providing a seamless experience for teams looking for an all-in-one platform to manage their projects, goals, and knowledge in an organized, collaborative environment.Starting Price: $12/user/month -
4
Microsoft Azure
Microsoft
Microsoft's Azure is a cloud computing platform that allows for rapid and secure application development, testing and management. Azure. Invent with purpose. Turn ideas into solutions with more than 100 services to build, deploy, and manage applications—in the cloud, on-premises, and at the edge—using the tools and frameworks of your choice. Continuous innovation from Microsoft supports your development today, and your product visions for tomorrow. With a commitment to open source, and support for all languages and frameworks, build how you want, and deploy where you want to. On-premises, in the cloud, and at the edge—we’ll meet you where you are. Integrate and manage your environments with services designed for hybrid cloud. Get security from the ground up, backed by a team of experts, and proactive compliance trusted by enterprises, governments, and startups. The cloud you can trust, with the numbers to prove it. -
5
OpenAI
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions. -
6
Grok
xAI
Grok is an advanced AI assistant developed by xAI, designed to provide real-time insights, intelligent responses, and conversational support. It is deeply integrated with the X (formerly Twitter) platform, allowing users to access up-to-date information and trending discussions. Grok is built to answer complex questions with a mix of reasoning, humor, and personality. It can assist with tasks such as research, content creation, and general problem-solving. The platform leverages large language models to deliver accurate and context-aware responses. Grok stands out for its ability to access live data, making it highly relevant for current events. Overall, it offers a dynamic and engaging AI experience for everyday users.Starting Price: Free -
7
Qwen
Alibaba
Qwen is a powerful, free AI assistant built on the advanced Qwen model series, designed to help anyone with creativity, research, problem-solving, and everyday tasks. While Qwen Chat is the main interface for most users, Qwen itself powers a broad range of intelligent capabilities including image generation, deep research, website creation, advanced reasoning, and context-aware search. Its multimodal intelligence enables Qwen to understand and process text, images, audio, and video simultaneously for richer insights. Qwen is available on web, desktop, and mobile, ensuring seamless access across all devices. For developers, the Qwen API provides OpenAI-compatible endpoints, making integration simple and allowing Qwen’s intelligence to power apps, services, and automation. Whether you're chatting through Qwen Chat or building with the Qwen API, Qwen delivers fast, flexible, and highly capable AI support.Starting Price: Free -
8
Gemini 1.5 Pro
Google
The Gemini 1.5 Pro AI model is a state-of-the-art language model designed to deliver highly accurate, context-aware, and human-like responses across a variety of applications. Built with cutting-edge neural architecture, it excels in natural language understanding, generation, and reasoning tasks. The model is fine-tuned for versatility, supporting tasks like content creation, code generation, data analysis, and complex problem-solving. Its advanced algorithms ensure nuanced comprehension, enabling it to adapt to different domains and conversational styles seamlessly. With a focus on scalability and efficiency, the Gemini 1.5 Pro is optimized for both small-scale implementations and enterprise-level integrations, making it a powerful tool for enhancing productivity and innovation. -
9
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
10
Azure AI Document Intelligence
Microsoft
AI Document Intelligence is an AI service that applies advanced machine learning to extract text, key-value pairs, tables, and structures from documents automatically and accurately. Turn documents into usable data and shift your focus to acting on information rather than compiling it. Start with prebuilt models or create custom models tailored to your documents both on-premises and in the cloud with the AI Document Intelligence studio or SDK. Learn how to accelerate your business processes by automating text extraction with AI Document Intelligence. This webinar features hands-on demos for key use cases such as document processing, knowledge mining, and industry-specific AI model customization. Accurately extract text, key-value pairs, and tables from documents, forms, receipts, invoices, and cards of various types without manual labeling by document type, intensive coding, or maintenance. Use AI Document Intelligence custom forms, prebuilt, and layout APIs to extract information.Starting Price: $1.50 per 1,000 pages -
11
Qwen Chat
Alibaba
Qwen Chat is a versatile and powerful AI platform developed by Alibaba, offering an array of functionalities through a user-friendly web interface. It integrates multiple advanced Qwen AI models, allowing users to engage in text-based conversations, generate images and videos, perform web searches, and utilize various tools for enhanced productivity. With features like document and image processing, HTML preview for coding tasks, and the ability to create and test artifacts directly within the chat, Qwen Chat caters to developers, researchers, and AI enthusiasts. Users can switch between models seamlessly to fit different needs, from general conversation to specialized coding or vision tasks. The platform promises future updates including voice interaction, making it an evolving tool for diverse AI applications.Starting Price: Free -
12
Options for every business to train deep learning and machine learning models cost-effectively. AI accelerators for every use case, from low-cost inference to high-performance training. Simple to get started with a range of services for development and deployment. Tensor Processing Units (TPUs) are custom-built ASIC to train and execute deep neural networks. Train and run more powerful and accurate models cost-effectively with faster speed and scale. A range of NVIDIA GPUs to help with cost-effective inference or scale-up or scale-out training. Leverage RAPID and Spark with GPUs to execute deep learning. Run GPU workloads on Google Cloud where you have access to industry-leading storage, networking, and data analytics technologies. Access CPU platforms when you start a VM instance on Compute Engine. Compute Engine offers a range of both Intel and AMD processors for your VMs.
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13
AWS AI Services
Amazon
AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS doesn't require machine learning experience. Catalog assets, automate workflows, and extract meaning from your media and applications. Identify missing product components, vehicle and structure damage, and irregularities for comprehensive quality control. Improve operations with automated monitoring to find bottlenecks and assess manufacturing quality and safety. Pull valuable information from millions of documents at speed. -
14
Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
15
Llama
Meta
Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.
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