Best AI tools for< Automate Workloads >

Qventus is an AI-powered platform that simplifies healthcare operations by utilizing AI, machine learning, and behavioral science to automate processes, predict bottlenecks, and optimize care flows. It offers solutions for surgical growth, inpatient capacity management, and perioperative care coordination. Qventus empowers care teams to operate at the top of their license, improve patient outcomes, and enhance operational efficiency in healthcare settings.

Lacework is a cloud security platform that provides comprehensive security solutions for DevOps, Containers, and Cloud Environments. It offers features such as Code Security, Workload Protection, Identities and Entitlements management, Posture Management, Kubernetes Security, Data Posture Management, Infrastructure as Code security, Software Composition Analysis, Application Security Testing, Edge Security, and Platform Overview. Lacework empowers users to secure their entire cloud infrastructure, prioritize risks, protect workloads, and stay compliant by leveraging AI-driven technologies and behavior-based threat detection. The platform helps automate compliance reporting, fix vulnerabilities, and reduce alerts, ultimately enhancing cloud security and operational efficiency.

Labelbox is a data factory platform that empowers AI teams to manage data labeling, train models, and create better data with internet scale RLHF platform. It offers an all-in-one solution comprising tooling and services powered by a global community of domain experts. Labelbox operates a global data labeling infrastructure and operations for AI workloads, providing expert human network for data labeling in various domains. The platform also includes AI-assisted alignment for maximum efficiency, data curation, model training, and labeling services. Customers achieve breakthroughs with high-quality data through Labelbox.

Valohai is a scalable MLOps platform that enables Continuous Integration/Continuous Deployment (CI/CD) for machine learning and pipeline automation on-premises and across various cloud environments. It helps streamline complex machine learning workflows by offering framework-agnostic ML capabilities, automatic versioning with complete lineage of ML experiments, hybrid and multi-cloud support, scalability and performance optimization, streamlined collaboration among data scientists, IT, and business units, and smart orchestration of ML workloads on any infrastructure. Valohai also provides a knowledge repository for storing and sharing the entire model lifecycle, facilitating cross-functional collaboration, and allowing developers to build with total freedom using any libraries or frameworks.

Business Automated is an independent automation consultancy that offers custom automation solutions for businesses. They provide services to streamline processes, increase efficiency, and reduce manual workloads. The company specializes in integrating AI technologies like GPT3.5, GPT4, and ChatGPT with platforms such as Airtable, Google Sheets, and Webflow. Through their products and services, Business Automated aims to empower businesses to leverage automation for improved productivity and performance.

Dystr is an AI-powered analysis tool that helps businesses make better decisions. It uses machine learning and natural language processing to analyze data and identify trends and patterns. Dystr can be used to analyze a variety of data sources, including text, images, and videos. It can also be used to analyze data from social media, customer surveys, and other sources.

Watermelon is an AI customer service tool that integrates with OpenAI's latest model, GPT-4o. It allows users to build chatbots powered by GPT-4o to automate customer interactions, handle frequently asked questions, and collaborate seamlessly between chatbots and human agents. Watermelon offers features such as chatbot building, customizable chat widgets, statistics tracking, inbox collaboration, and various integrations with APIs and webhooks. The application caters to industries like e-commerce, education, healthcare, and financial services, providing solutions for sales support, lead generation, marketing, HR, and customer service.

AutoResponder.ai is an AI-powered auto reply bot application designed to send automatic replies to messages on various messaging platforms. It offers features such as automatic replies, unlimited message customization, integration with web servers and AI services like ChatGPT and Dialogflow, and more. Users can easily customize the bot on their phones for free, reducing manual workload and improving response time. AutoResponder.ai is widely used for WhatsApp, Facebook Messenger, Instagram, Telegram, Signal, and Viber, making it a versatile tool for managing messaging interactions efficiently.

Flavor is an AI-powered accounting automation tool that revolutionizes the month-end close process. It automates tasks such as book closure management, general ledger reconciliations, consolidation & reporting, financial analysis, and accruals management. Flavor combines AI technology with human validation to ensure accurate, compliant, and audit-ready financial records. The tool offers customizable checklists, real-time insights, and dynamic reports for faster decision-making. With Flavor, users can reduce manual workload, eliminate errors, and focus on strategic growth initiatives.

Deflekt.ai is an AI-powered application designed to automate replies on all support channels. It helps businesses deflect customer and coworker support tickets by answering questions automatically. The tool can be integrated with various channels like web chat, email, Slack, and Teams, making it a versatile solution for support teams. Deflekt.ai allows users to customize content, localize responses, and provide human support when needed. With features like document hosting, channel activation, and conversation monitoring, Deflekt.ai streamlines support processes and reduces workload.

Stundenheld.com is an AI tool designed for small and medium-sized businesses to automate daily tasks using artificial intelligence. It allows users to create and utilize their own AI tools easily, enhancing productivity and efficiency in the workplace. The platform offers features such as converting business language into colloquial language, translating from German to any language, generating personalized email responses, and more. By automating repetitive tasks, Stundenheld.com helps teams save time and reduce administrative workload.

Watermelon is an AI customer service tool that helps businesses automate up to 96% of their support questions. With Watermelon, businesses can build GPT-4 chatbots that are trained on their own data, no coding required. Watermelon's chatbots can speak any language and pull precise answers from various sources like documents, websites, and databases. In addition to chatbots, Watermelon also offers a range of other features to help businesses improve their customer service, such as a chat widget, inbox, and analytics.

VEGA AI is an AI-powered virtual entity designed for guidance and assistance in the field of education. It offers an AI-first learning platform that allows users to effortlessly create personalized courses, gain learning insights, and support students with the help of an AI avatar. Trusted by leading institutions worldwide, VEGA AI helps educators deploy adaptive learning environments, build personalized learning paths, and provide 24/7 AI avatar support. The platform aims to transform teaching by automating workflows, reducing workload, and boosting student outcomes through AI automation and personalized learning journeys.

The website is an AI tool that offers a wide range of AI, software, and tools for enterprise growth and automation. It provides solutions in areas such as AI hardware, automation, application security, CRM, cloud services, data management, generative AI, network monitoring, process intelligence, proxies, remote monitoring, surveys, sustainability, workload automation, and more. The platform aims to help businesses leverage AI technologies to enhance efficiency, security, and productivity across various industries.

Sendient.ai is an AI application that offers AI solutions and services, specifically tailored for the education and assessment sectors. The platform leverages cutting-edge Artificial Intelligence to automate grading, streamline administrative tasks, and provide personalized learning experiences. Sendient aims to transform education and assessment by delivering unparalleled solutions that drive innovation and efficiency in teaching and learning processes.

KLapper is a private and secure GenAI solution designed for law firms, integrating with Microsoft 365 Copilot to provide intelligence from various applications. It offers deep integration with Microsoft Teams and Word, ensuring seamless access within Microsoft 365. KLapper enforces robust security through mirrored DMS role-based access control and allows firms to deploy it securely within their own Microsoft Azure environment. Its Agentic AI capabilities automate administrative tasks, streamlining operations and reducing manual workload. The application assists in legal research, litigation support, document review and analysis, transactional skills, personalized legal support, and billing support.

Keebo is an AI tool designed for Snowflake optimization, offering automated query, cost, and tuning optimization. It is the only fully-automated Snowflake optimizer that dynamically adjusts to save customers 25% and more. Keebo's patented technology, based on cutting-edge research, optimizes warehouse size, clustering, and memory without impacting performance. It learns and adjusts to workload changes in real-time, setting up in just 30 minutes and delivering savings within 24 hours. The tool uses telemetry metadata for optimizations, providing full visibility and adjustability for complex scenarios and schedules.

Dropy.AI is an AI-powered dropshipping tool designed to help e-commerce entrepreneurs succeed. It offers features such as finding winning products, automating daily tasks with AI assistant, integrating with major suppliers, and creating professional stores in minutes. The tool provides advantages like boosting organic traffic, reducing workload, and gaining insights into competitor brands. However, it has disadvantages such as dependency on AI accuracy and limited customization options.

TeacherMatic is the ultimate AI platform designed for educators to reduce workload and elevate teaching and learning. It offers over 70 AI-assisted generators to create high-quality resources for the classroom, including lesson plans, activities, worksheets, and more. The platform was developed with input from over 300 teachers to ensure it meets the needs of educators, making it one of the best AI tools available for teachers.

Mosaic is a modern, automated, and AI-powered resource planning, management, and forecasting software designed to maximize profitability by providing a fast, easy, and visual way to plan resource allocation, assemble project teams, and understand workload capacity. It offers features such as AI team building, workload forecasting, headcount planning, and capacity planning. Mosaic helps organizations improve planning efficiency, drive profitability, and reduce burnout by visualizing workload, managing people together, and building project schedules around actual capacity. The software provides real-time reports, out-of-the-box reporting, and dashboard analytics for better decision-making. Mosaic is collaborative, intuitive, and automated, making complex processes visual and easy to use.

The IBM Power Systems AIX Collection provides modules to manage configurations and deployments of Power AIX systems, enabling workloads on Power platforms as part of an enterprise automation strategy through the Ansible ecosystem. It includes example best practices, requirements for AIX versions, Ansible, and Python, along with resources for documentation and contribution.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

otto-m8 is a flowchart based automation platform designed to run deep learning workloads with minimal to no code. It provides a user-friendly interface to spin up a wide range of AI models, including traditional deep learning models and large language models. The tool deploys Docker containers of workflows as APIs for integration with existing workflows, building AI chatbots, or standalone applications. Otto-m8 operates on an Input, Process, Output paradigm, simplifying the process of running AI models into a flowchart-like UI.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

ClearML is an auto-magical suite of tools designed to streamline AI workflows. It includes modules for experiment management, MLOps/LLMOps, data management, model serving, and more. ClearML offers features like experiment tracking, model serving, orchestration, and automation. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm for remote debugging. ClearML aims to simplify collaboration, automate processes, and enhance visibility in AI projects.

Pixeltable is a Python library designed for ML Engineers and Data Scientists to focus on exploration, modeling, and app development without the need to handle data plumbing. It provides a declarative interface for working with text, images, embeddings, and video, enabling users to store, transform, index, and iterate on data within a single table interface. Pixeltable is persistent, acting as a database unlike in-memory Python libraries such as Pandas. It offers features like data storage and versioning, combined data and model lineage, indexing, orchestration of multimodal workloads, incremental updates, and automatic production-ready code generation. The tool emphasizes transparency, reproducibility, cost-saving through incremental data changes, and seamless integration with existing Python code and libraries.

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.

ZenML is an extensible, open-source MLOps framework for creating portable, production-ready machine learning pipelines. By decoupling infrastructure from code, ZenML enables developers across your organization to collaborate more effectively as they develop to production.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

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.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

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.

A curated list of Generative AI projects, tools, artworks, and models

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.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

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.

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I automate GPT creation, saving + 99% time and securing data, preventing someone steal your idea.

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Auto-analyzes business documents, then offers further actions.

Advises on automating HR processes with GPTs, focusing on practicality and industry trends.

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Automates DCF Analysis with internet-sourced data and summary table.

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Automates URL submissions via an API post OAuth.

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Automatically evaluates uploaded lesson plans against educational standards. Upload text or a PDF.

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