Best AI tools for< Build Enterprise-ready Applications >

Hal9 is an AI coworker creation platform that allows organizations, data teams, and developers to effortlessly build custom AI coworkers with any level of complexity. It provides a secure and customizable model-agnostic AI coworker solution that accelerates the development of AI applications by saving significant engineering time. Hal9 enables users to leverage the best generative AI models, connect their data securely, and start building enterprise-ready AI applications with the necessary engineering components. The platform aims to empower users to leverage AI technology effectively and efficiently in their projects.

Appen is a leading provider of high-quality data for training AI models. The company's end-to-end platform, flexible services, and deep expertise ensure the delivery of high-quality, diverse data that is crucial for building foundation models and enterprise-ready AI applications. Appen has been providing high-quality datasets that power the world's leading AI models for decades. The company's services enable it to prepare data at scale, meeting the demands of even the most ambitious AI projects. Appen also provides enterprises with software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating massive efficiencies through a trustworthy, traceable process.

UBOS is an engineering platform for Software 3.0 and AI Agents, offering a comprehensive suite of tools for building enterprise-ready internal development platforms, web applications, and intelligent workflows. It enables users to connect to over 1000 APIs, automate workflows with AI, and access a marketplace with templates and AI models. UBOS empowers startups, small and medium businesses, and large enterprises to drive growth, efficiency, and innovation through advanced ML orchestration and Generative AI custom integration. The platform provides a user-friendly interface for creating AI-native applications, leveraging Generative AI, Node-Red SCADA, Edge AI, and IoT technologies. With a focus on open-source development, UBOS offers full code ownership, flexible exports, and seamless integration with leading LLMs like ChatGPT and Llama 2 from Meta.

Outspeed is a platform for Realtime Voice and Video AI applications, providing networking and inference infrastructure to build fast, real-time voice and video AI apps. It offers tools for intelligence across industries, including Voice AI, Streaming Avatars, Visual Intelligence, Meeting Copilot, and the ability to build custom multimodal AI solutions. Outspeed is designed by engineers from Google and MIT, offering robust streaming infrastructure, low-latency inference, instant deployment, and enterprise-ready compliance with regulations such as SOC2, GDPR, and HIPAA.

Voxel51 is an AI tool that provides open-source computer vision tools for machine learning. It offers solutions for various industries such as agriculture, aviation, driving, healthcare, manufacturing, retail, robotics, and security. Voxel51's main product, FiftyOne, helps users explore, visualize, and curate visual data to improve model performance and accelerate the development of visual AI applications. The platform is trusted by thousands of users and companies, offering both open-source and enterprise-ready solutions to manage and refine data and models for visual AI.

Meibel is an AI platform that empowers product and engineering leaders to accelerate their generative AI vision from pilot to production with explainable AI. The platform provides complete visibility, control, and confidence to quickly build and deploy production-ready AI systems that deliver measurable business value. Meibel offers intuitive tools for AI development, seamless data integration, enterprise-ready security, measurable impact tracking, and a future-proof platform that evolves alongside AI technology.

Creatio is a no-code platform that offers automation of workflows and CRM solutions. It empowers organizations to streamline business processes through the use of no-code and AI technologies. Creatio provides tools for building applications, managing customer relationships, marketing, sales, and service operations. With a composable architecture and visual designers, Creatio enables users to create custom solutions without the need for coding skills. The platform caters to various industries such as banking, insurance, telecommunications, and more, offering ready-to-use processes and unlimited customization options.

ThirdAI is a production-ready AI platform designed for enterprises, offering a comprehensive solution for building AI applications without the need for extensive proof-of-concept cycles or manual fine-tuning. The platform provides enterprise-grade productivity tools, document search and retrieval, content creation, FAQ bots, customer live support, hyper-personalization, risk and compliance features, fraud detection, anomaly detection, and PII/sensitive data redaction. ThirdAI allows users to bring their business problems, apply them to data, and compose AI applications effortlessly. The platform supports no-code customization, turnkey deployment, and user engagement data for best-in-class accuracy.

LlamaIndex is a leading data framework designed for building LLM (Large Language Model) applications. It allows enterprises to turn their data into production-ready applications by providing functionalities such as loading data from various sources, indexing data, orchestrating workflows, and evaluating application performance. The platform offers extensive documentation, community-contributed resources, and integration options to support developers in creating innovative LLM applications.

Flatlogic Solutions is an AI-driven platform that enables businesses to create custom Business Software in just 3 steps. It offers a low-code solution that preserves the advantages of custom development, allowing users to own the software they create without platform restrictions. With features like AI-driven development, hosting solutions, and ready-to-use templates, Flatlogic saves time and resources in software development. The platform is designed to streamline app development, integrate AI capabilities, and provide post-launch adaptability for dynamic business needs.

Global Nodes is a global leader in innovative solutions, specializing in Artificial Intelligence, Data Engineering, Cloud Services, Software Development, and Mobile App Development. They integrate advanced AI to accelerate product development and provide custom, secure, and scalable solutions. With a focus on cutting-edge technology and visionary thinking, Global Nodes offers services ranging from ideation and design to precision execution, transforming concepts into market-ready products. Their team has extensive experience in delivering top-notch AI, cloud, and data engineering services, making them a trusted partner for businesses worldwide.

Booth AI is a platform that allows users to create custom AI solutions in minutes, not months. It is enterprise-ready, scale-ready, and disruption-ready. Booth AI offers a variety of features, including integration with over 100 apps, workplace tools, project management tools, marketing automation tools, and more. Booth AI can be used to solve a variety of business problems, including automating tasks, improving customer service, and increasing sales.

PixieBrix is an AI engagement platform that allows users to build, deploy, and manage internal AI tools to drive team productivity. It unifies AI landscapes with oversight and governance for enterprise scale. The platform is enterprise-ready and fully customizable to meet unique needs, and can be deployed on any site, making it easy to integrate into existing systems. PixieBrix leverages the power of AI and automation to harness the latest technology to streamline workflows and take productivity to new heights.

n8n is a powerful workflow automation software and tools that offer advanced AI capabilities. It is a popular platform for technical teams to automate workflows, integrate various services, and build autonomous agents. With over 400 integrations, n8n enables users to save time, streamline operations, and enhance security through AI-driven processes. The tool supports self-hosting, external libraries, and offers enterprise-ready solutions for scaling operations. n8n empowers users to code iteratively, explore advanced AI features, and create complex workflows with ease.

BotX is a no-code AI platform that enables users to automate and deploy generative AI workflows, chatbots, RAGs, and multi-agent solutions. With production-ready AI systems, users can increase productivity, build AI agents and chatbots, automate workflows, create or process documents, and connect models effortlessly. The platform offers a range of models and fine-tuning options, seamless integration of advanced models, and enterprise-grade results with grounded responses. Users can protect their data with various deployment options and enjoy dedicated support, integrations-ready solutions, and tailor-made solutions for enterprises and SMEs.

Backend.AI is an enterprise-scale cluster backend for AI frameworks that offers scalability, GPU virtualization, HPC optimization, and DGX-Ready software products. It provides a fast and efficient way to build, train, and serve AI models of any type and size, with flexible infrastructure options. Backend.AI aims to optimize backend resources, reduce costs, and simplify deployment for AI developers and researchers. The platform integrates seamlessly with existing tools and offers fractional GPU usage and pay-as-you-play model to maximize resource utilization.

Workera is an AI-powered platform that helps enterprises to build AI-ready workforces by accurately measuring competencies and providing insights into skills development. The platform offers skills intelligence, precise upskilling, and personalized learning plans to transform the workforce. Workera is trusted by global enterprises to enhance talent strategies and prepare the workforce for the future through continuous skills verification and dynamic insights.

Kapa.ai is an AI-powered answer engine that transforms your knowledge base into a reliable and production-ready AI assistant. It provides instant and accurate answers to technical product questions, helping to improve documentation and enhance user experience. With over 40 technical source connectors, Kapa.ai optimizes your knowledge sources and deploys custom AI assistants across various platforms like Docs, Slack, Discord, API, and Zendesk. The platform is designed to provide grounded answers with citations, acknowledge limitations, synthesize information from multiple sources, and track usage with analytics. Kapa.ai is trusted by enterprises and startups to power production-ready AI assistants, reducing support hours and improving user experience.

KocharTech is an AI-backed technology solutions provider that offers knowledge management, IoT, and BPM solutions for various industries. The company focuses on accelerating value delivery through innovation and technology for over 15 years. They provide virtual contact center services, help start-ups outsource CX initiatives, make warehouses future-ready, and support revenue growth during market volatility in the telecom sector. KocharTech leverages human intelligence and technology to build digital solutions that empower businesses to stay ahead of the competition. Their offerings include business process management, IoT software solutions, content & cataloging, e-surveillance, and more.

Sema4.ai is an AI application that enables enterprises to build, run, and manage intelligent AI Agents to transform how people work. It helps teams create powerful agents that act against enterprise systems using LLMs. Sema4.ai aims to close the automation gap by combining actions, intelligence, and enterprise context to revolutionize work processes and collaboration.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

Upsonic offers a cutting-edge enterprise-ready framework for orchestrating LLM calls, agents, and computer use to complete tasks cost-effectively. It provides reliable systems, scalability, and a task-oriented structure for real-world cases. Key features include production-ready scalability, task-centric design, MCP server support, tool-calling server, computer use integration, and easy addition of custom tools. The framework supports client-server architecture and allows seamless deployment on AWS, GCP, or locally using Docker.

The Generative AI Application Builder on AWS (GAAB) is a solution that provides a web-based management dashboard for deploying customizable Generative AI (Gen AI) use cases. Users can experiment with and compare different combinations of Large Language Model (LLM) use cases, configure and optimize their use cases, and integrate them into their applications for production. The solution is targeted at novice to experienced users who want to experiment and productionize different Gen AI use cases. It uses LangChain open-source software to configure connections to Large Language Models (LLMs) for various use cases, with the ability to deploy chat use cases that allow querying over users' enterprise data in a chatbot-style User Interface (UI) and support custom end-user implementations through an API.

Gateway is a tool that streamlines requests to 100+ open & closed source models with a unified API. It is production-ready with support for caching, fallbacks, retries, timeouts, load balancing, and can be edge-deployed for minimum latency. It is blazing fast with a tiny footprint, supports load balancing across multiple models, providers, and keys, ensures app resilience with fallbacks, offers automatic retries with exponential fallbacks, allows configurable request timeouts, supports multimodal routing, and can be extended with plug-in middleware. It is battle-tested over 300B tokens and enterprise-ready for enhanced security, scale, and custom deployments.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Helicone is an open-source observability platform designed for Language Learning Models (LLMs). It logs requests to OpenAI in a user-friendly UI, offers caching, rate limits, and retries, tracks costs and latencies, provides a playground for iterating on prompts and chat conversations, supports collaboration, and will soon have APIs for feedback and evaluation. The platform is deployed on Cloudflare and consists of services like Web (NextJs), Worker (Cloudflare Workers), Jawn (Express), Supabase, and ClickHouse. Users can interact with Helicone locally by setting up the required services and environment variables. The platform encourages contributions and provides resources for learning, documentation, and integrations.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

This repository is a curated list of open-source, actively maintained web applications that leverage large language models (LLMs) for various use cases, including chatbots, natural language interfaces, assistants, and question answering systems. The projects are evaluated based on key criteria such as licensing, maintenance status, complexity, and features, to help users select the most suitable starting point for their LLM-based applications. The repository welcomes contributions and encourages users to submit projects that meet the criteria or suggest improvements to the existing list.

AI-in-a-Box is a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction, while maintaining the highest standards of quality and efficiency. It provides essential guidance on the responsible use of AI and LLM technologies, specific security guidance for Generative AI (GenAI) applications, and best practices for scaling OpenAI applications within Azure. The available accelerators include: Azure ML Operationalization in-a-box, Edge AI in-a-box, Doc Intelligence in-a-box, Image and Video Analysis in-a-box, Cognitive Services Landing Zone in-a-box, Semantic Kernel Bot in-a-box, NLP to SQL in-a-box, Assistants API in-a-box, and Assistants API Bot in-a-box.

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

Pipecat is an open-source framework designed for building generative AI voice bots and multimodal assistants. It provides code building blocks for interacting with AI services, creating low-latency data pipelines, and transporting audio, video, and events over the Internet. Pipecat supports various AI services like speech-to-text, text-to-speech, image generation, and vision models. Users can implement new services and contribute to the framework. Pipecat aims to simplify the development of applications like personal coaches, meeting assistants, customer support bots, and more by providing a complete framework for integrating AI services.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

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