Best AI tools for< Integrate With Slack >

Slack is a productivity platform that brings together all your team's communication and collaboration tools in one place. With Slack, you can chat, send audio and video clips, or hop on a huddle to talk things out live. You can also share files, create and edit documents, and integrate with your favorite apps. Slack is designed to make it easy for teams to work together, no matter where they are located or what time zone they're in.

Effy AI is a free performance management software designed for teams to conduct 360 feedback and performance reviews efficiently. The AI-powered platform offers ready-to-use templates, flexible reviewer nominations, and insightful AI-generated reports to help companies build a culture of high-performing teams. With features like automated response collection, Slack integration, and a vast question bank, Effy AI streamlines the review process and provides valuable insights for employee development.

ChatScope AI is an AI-powered platform that offers unlimited access to top-tier AI models to enhance team productivity. Users can integrate with Slack and leverage powerful AI models like ChatGPT, Dall-E, Bard, and more. The platform provides impactful AI assistance across channels, virtual assistant capabilities, universal presence in Slack channels, and tools to optimize team collaboration and productivity. ChatScope AI empowers users to stay updated with new AI models, streamline tasks, unleash creativity, and drive innovation.

Excelly-AI is a powerful tool that transforms plain text into Excel formulas, supporting both Excel and Google Sheets. Users can generate any formula they like and receive explanations for each. It allows uploading .xlsx files for personalized prompts and offers VBA formula generation. Excelly-AI integrates with Slack for team collaboration and provides column schema support for meaningful prompts, enhancing Excel and Google Sheets operations.

Ranger is a fast and reliable QA testing tool powered by AI and perfected by humans. It writes and maintains QA tests to find real bugs, allowing teams to move forward confidently. Trusted by fast-growing teams, Ranger handles every facet of QA testing, saving time and enabling faster product launches. With a focus on catching real bugs and maintaining core flows, Ranger helps teams maintain high quality while accelerating engineering velocity.

ProductlyAI is an AI-powered product management tool that helps you automatically log and track product feedback from all your customer conversations. It integrates with your existing tools, such as Gong, Intercom, and Zoom, and uses AI to find, categorize, and summarize feedback in a single place. This makes it easy to identify trends, prioritize features, and make data-driven decisions about your product roadmap.

The Video Calling App is an AI-powered platform designed to revolutionize meeting experiences by providing laser-focused, context-aware, and outcome-driven meetings. It aims to streamline post-meeting routines, enhance collaboration, and improve overall meeting efficiency. With powerful integrations and AI features, the app captures, organizes, and distills meeting content to provide users with a clearer perspective and free headspace. It offers seamless integration with popular tools like Slack, Linear, and Google Calendar, enabling users to automate tasks, manage schedules, and enhance productivity. The app's user-friendly interface, interactive features, and advanced search capabilities make it a valuable tool for global teams and remote workers seeking to optimize their meeting experiences.

Unthread is an AI-powered support tool integrated with Slack, designed to streamline customer interactions and automate support processes. It offers features such as AI-generated support responses, shared email inbox, in-app live chat, and IT ticketing solutions. Unthread aims to enhance customer support efficiency by leveraging AI technology to prioritize, assign, and resolve tickets instantly, while providing a seamless experience for both users and customers.

Sphinx Mind is an AI-powered marketing assistant chatbot that seamlessly integrates with various marketing platforms. It offers a range of features such as AI-powered reports, prompt scheduling, custom GPTs on ChatGPT, chat exports, prompt library, smart autocomplete, and Slack and Microsoft Teams integration. Sphinx Mind empowers marketers with one-click integrations, multi-platform interaction, unlimited possibilities, personalized experiences, tailored pricing plans, and a privacy-first approach.

SiteSpeakAI is an AI-powered platform that enables users to automate their customer support by creating custom GPT chatbots trained on their content. The chatbots can be integrated into websites, Slack, Telegram, and more to provide 24/7 responses to visitor queries, thereby reducing support tickets. The platform offers smart AI chatbot training, customization options, analytics, and integration with various tools and platforms.

Ariglad is an AI-powered Knowledge Base API designed for support teams to enhance their customer service strategies. It automates the creation and updates of knowledge bases by analyzing support tickets, providing insights for data-driven decisions. The tool offers integrations with various platforms like Slack, Microsoft Teams, and HRIS, enabling teams to confidently lead with strategy backed by people analytics.

AskMyDocs.ai is an AI tool designed to save time and money on customer and employee support by allowing users to ask questions and get precise, instant answers straight from their documentation sources. The tool offers various integrations with platforms like Zendesk, Gitbook, Sitemap, PDF, and Slack, enabling users to transform their knowledge base into an intelligent resource. AskMyDocs.ai provides features such as resource savings calculator, integrations with multiple platforms, and a chatbot for quick and precise responses. The tool offers different pricing plans catering to different business sizes and needs, with options for custom features and support SLAs.

Fable is an AI-powered interactive product demo software that enables users to create high-converting demos effortlessly. It helps engage prospects, close more deals, and simplify onboarding processes with its AI capabilities. Fable offers a platform to organize, personalize, and share interactive demos seamlessly, catering to various business needs across marketing, sales, customer success, and partnerships. The tool allows users to create fully interactive product demos with dynamic interactions and animations, customize demos instantly with AI assistance, publish and share demos across different channels, and analyze viewer insights for better engagement strategies. Fable integrates with popular GTM tools like HubSpot, Salesforce, Marketo, and Slack, enhancing its usability and effectiveness.

Chat Data is an AI application that allows users to create custom chatbots using their own data sources. Users can easily build and integrate chatbots with their websites or other platforms, personalize the chatbot's interface, and access advanced features like human support escalation and product updates synchronization. The platform offers HIPAA-compliant medical chat models and ensures data privacy by retaining conversation data exclusively within the user's browser. With Chat Data, users can enhance customer interactions, gather insights, and streamline communication processes.

Pandatron.ai is an AI-driven coaching platform that empowers organizations to achieve strategic goals by providing personalized coaching sessions, generative AI insights, and actionable goals. It seamlessly integrates with popular platforms like Teams and Slack, offering scalable coaching solutions for every level of the organization. Pandatron focuses on driving change, fostering genuine buy-in, and accelerating sustainable development through evidence-based practices and client-validated approaches. With a data-driven AI approach, Pandatron delivers high ROI by fueling faster strategy execution and measurable outcomes.

Chatbots Magazine is a platform dedicated to educating and informing readers about chatbots and artificial intelligence. It provides a wide range of articles, tutorials, and resources related to chatbots, conversational commerce, and AI integration. The platform aims to help individuals and businesses understand the potential of chatbots in various industries and how they can leverage this technology to improve customer service and streamline operations.

Dokkio is an AI-powered platform that helps users find, organize, and understand all of their online files. By leveraging AI technology, Dokkio enables users to work with their cloud files efficiently and collaboratively. The platform offers tools for managing multiple activities, finding documents and files, compiling research materials, and organizing a content library. Dokkio aims to streamline the process of accessing and utilizing online content, regardless of where it is stored.

Lingvanex is a cloud-based machine translation and speech recognition platform that provides businesses with a variety of tools to translate text, documents, and speech in over 100 languages. The platform is powered by artificial intelligence (AI) and machine learning (ML) technologies, which enable it to deliver high-quality translations that are both accurate and fluent. Lingvanex also offers a variety of features that make it easy for businesses to integrate translation and speech recognition into their workflows, including APIs, SDKs, and plugins for popular programming languages and platforms.

Respell is an advanced Agentic AI Workflow platform that offers automation for powerful workflows. It leverages cutting-edge AI models from various providers such as OpenAI, Anthropic, and Cohere. Respell provides custom-built agents for research, phone calls, integrations, and more. Users can connect Respell with popular platforms like Gmail, Notion, Slack, and Salesforce to leverage AI for data analysis, understanding, and decision-making. The platform ensures enterprise security with SOC II compliance and offers features like human in the loop functionality, API integration, and cross-team collaboration.

Engine is an AI software engineer application designed to help teams build autonomously 24/7. It connects to various tools and can complete up to 50% of tickets in minutes without supervision. Engine is built for fast-moving teams, fits with established workflows, and helps software engineers focus on important work. It works with tools like GitHub, Jira, Trello, Linear, and Slack, allowing users to pair program in a full-featured IDE to tackle complex problems.

Merlinn is an open-source AI-powered on-call engineer that automatically jumps into incidents & alerts, providing useful insights and RCA in real time. It integrates with popular observability tools, lives inside Slack, offers an intuitive UX, and prioritizes security. Users can self-host Merlinn, use it for free, and benefit from automatic RCA, Slack integration, integrations with various tools, intuitive UX, and security features.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

OpenKF (Open Knowledge Flow) is an online intelligent customer service system. It is an open-source customer service system based on OpenIM, supporting LLM (Local Knowledgebase) customer service and multi-channel customer service. It is easy to integrate with third-party systems, deploy, and perform secondary development. The system provides features like login page, config page, dashboard page, platform page, and session page. Users can quickly get started with OpenKF by following the installation and run instructions. The architecture follows MVC design with a standardized directory structure. The community encourages involvement through community meetings, contributions, and development. OpenKF is licensed under the Apache 2.0 license.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

BotSharp is an open-source machine learning framework for building AI bot platforms. It provides a comprehensive set of tools and components for developing and deploying intelligent virtual assistants. BotSharp is designed to be modular and extensible, allowing developers to easily integrate it with their existing systems and applications. With BotSharp, you can quickly and easily create AI-powered chatbots, virtual assistants, and other conversational AI applications.

Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Users can accelerate Lightning training with the Torch ORT Callback to optimize ONNX graph for faster training & inference. Additionally, users can introduce sparsity with the SparseMLCallback to accelerate inference by leveraging the DeepSparse engine. Specific research implementations are encouraged, with contributions that help train SSL models and integrate with Lightning Flash for state-of-the-art models in applied research.

The CryptoToken-Sender-Airdrop-Staking-Liquidity repository provides an ultimate tool for efficient and automated token distribution across blockchain wallets. It is designed for projects, DAOs, and blockchain-based organizations that need to distribute tokens to thousands of wallet addresses with ease. The platform offers advanced integrations with DeFi protocols for staking, liquidity farming, and automated payments. Users can send tokens in bulk, distribute tokens to multiple wallets instantly, optimize gas fees, integrate with DeFi protocols for liquidity provision and staking, set up recurring payments, automate liquidity farming strategies, support multi-chain operations, monitor transactions in real-time, and work with various token standards. The repository includes features for connecting to blockchains, importing and managing wallets, customizing mailing parameters, monitoring transaction status, logging transactions, and providing a user-friendly interface for configuration and operation.

This repository contains executable Python notebooks, sample apps, and resources for testing out the Elastic platform. Users can learn how to use Elasticsearch as a vector database for storing embeddings, build use cases like retrieval augmented generation (RAG), summarization, and question answering (QA), and test Elastic's leading-edge capabilities like the Elastic Learned Sparse Encoder and reciprocal rank fusion (RRF). It also allows integration with projects like OpenAI, Hugging Face, and LangChain to power LLM-powered applications. The repository enables modern search experiences powered by AI/ML.

LMCache is a serving engine extension designed to reduce time to first token (TTFT) and increase throughput, particularly in long-context scenarios. It stores key-value caches of reusable texts across different locations like GPU, CPU DRAM, and Local Disk, allowing the reuse of any text in any serving engine instance. By combining LMCache with vLLM, significant delay savings and GPU cycle reduction are achieved in various large language model (LLM) use cases, such as multi-round question answering and retrieval-augmented generation (RAG). LMCache provides integration with the latest vLLM version, offering both online serving and offline inference capabilities. It supports sharing key-value caches across multiple vLLM instances and aims to provide stable support for non-prefix key-value caches along with user and developer documentation.

Bodo is a high-performance Python compute engine designed for large-scale data processing and AI workloads. It utilizes an auto-parallelizing just-in-time compiler to optimize Python programs, making them 20x to 240x faster compared to alternatives. Bodo seamlessly integrates with native Python APIs like Pandas and NumPy, eliminates runtime overheads using MPI for distributed execution, and provides exceptional performance and scalability for data workloads. It is easy to use, interoperable with the Python ecosystem, and integrates with modern data platforms like Apache Iceberg and Snowflake. Bodo focuses on data-intensive and computationally heavy workloads in data engineering, data science, and AI/ML, offering automatic optimization and parallelization, linear scalability, advanced I/O support, and a high-performance SQL engine.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

llmaz is an easy, advanced inference platform for large language models on Kubernetes. It aims to provide a production-ready solution that integrates with state-of-the-art inference backends. The platform supports efficient model distribution, accelerator fungibility, SOTA inference, various model providers, multi-host support, and scaling efficiency. Users can quickly deploy LLM services with minimal configurations and benefit from a wide range of advanced inference backends. llmaz is designed to optimize cost and performance while supporting cutting-edge researches like Speculative Decoding or Splitwise on Kubernetes.

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

K8sGPT is a tool for scanning your Kubernetes clusters, diagnosing, and triaging issues in simple English. It has SRE experience codified into its analyzers and helps to pull out the most relevant information to enrich it with AI.

An AI Chatbot framework built in Python. It allows users to easily create Natural Language conversational scenarios with no coding efforts. The tool continuously learns from conversations to improve its capabilities. It can be integrated with various channels like Messenger and Slack. Users can create AI-powered chatbots without expertise in artificial intelligence.

Onyx is an open-source Gen-AI and Enterprise Search tool that serves as an AI Assistant connected to company documents, apps, and people. It provides a chat interface, can be deployed anywhere, and offers features like user authentication, role management, chat persistence, and UI for configuring AI Assistants. Onyx acts as an Enterprise Search tool across various workplace platforms, enabling users to access team-specific knowledge and perform tasks like document search, AI answers for natural language queries, and integration with common workplace tools like Slack, Google Drive, Confluence, etc.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

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