Best AI tools for< Scale Personalized Messaging >

Clay is an AI-powered data enrichment and outreach automation tool designed to help go-to-market teams scale personalized outbound campaigns. It combines 75+ data enrichment tools, AI capabilities, and automation features to streamline lead generation, data cleaning, and personalized messaging. With access to 50+ data providers, Clay offers comprehensive coverage of information and enables users to connect, enrich, and sync their CRM data effortlessly. The platform also features AI web scraping, personalized email building, automated inbound and outbound processes, and data formatting functionalities.

Autobound.ai is an AI-powered platform that enables users to write hyper-personalized emails 60-120 times faster than the average seller. The platform offers an AI Email Writer that helps in creating hyper-personalized content, finding and exporting leads, and providing A+ email suggestions on the fly. Autobound also features AI-powered sequencing, personalization API, and a 'Write with AI' button for effortless email drafting. The platform revolutionizes personalized messaging by combining expansive datasets to transform contacts into connections.

Clay is a sales automation tool that helps businesses scale their outbound campaigns. It combines data from over 50 sources, web scraping, and AI messaging to enrich data and automate outbound processes. With Clay, businesses can build lead lists, enrich data, write personalized emails, and automate inbound leads. It offers a 14-day free trial and integrates with various tools and CRMs.

Persana AI is an AI-powered prospecting tool that helps users find, enrich, and personalize outbound leads using over 75 data sources and AI signals. It enables users to build hyper-relevant and targeted lead lists, automate workflows with a powerful AI agent, create personalized messaging, and stay up to date with AI triggers. The platform offers real-time data enrichment, job change tracking, and technographics to boost sales processes and generate a higher pipeline. Trusted by teams and businesses of all sizes, Persana AI revolutionizes sales prospecting workflows with its AI-driven insights and automation capabilities.

FirstQuadrant is an AI-powered B2B sales platform that offers fully-automated sales solutions using cutting-edge artificial intelligence technology. It provides a comprehensive suite of AI tools for inbound, outbound, and nurturing sales, enabling businesses to grow exponentially with predictable and autonomous sales processes. The platform automates lead sourcing, lead enrichment, email deliverability, personalized messaging, objection handling, follow-ups, and CRM nurturing. FirstQuadrant also offers extensive analytics to track sales performance and initiate autopilot campaigns. It is designed for modern sales organizations to scale sales efforts efficiently and effectively.

Theos Sales Copilot is an AI-powered sales automation tool designed to help sales professionals boost their outreach efforts on LinkedIn and Instagram. It leverages advanced artificial intelligence to send personalized messages at scale, increasing response rates and saving time. The tool offers features like bulk sending of invitations, chats, and follow-ups, personalized message generation, and AI-driven booking of sales calls. Theos Sales Copilot is loved by sales professionals for its ability to revolutionize outreach and improve engagement rates.

Intercom is a customer engagement platform that helps businesses build better relationships with their customers through personalized messaging, automated support, and self-service help. Intercom's knowledge base software is a powerful tool that allows businesses to create and manage a comprehensive knowledge base that can help customers find answers to their questions quickly and easily. With Intercom's knowledge base software, businesses can reduce support volume, increase efficiency, and deliver personalized support at scale.

Jacquard is an AI-powered platform that offers hyper-personalized brand messaging at scale. It provides a core platform for generating brand-safe messaging, along with add-ons for audience optimization and personalized campaigns. The technology is designed to resonate with people by tailoring messaging to individual customer contexts. Jacquard's expert language calibration and trusted content generation ensure sustained brand affinity and high engagement levels. The platform integrates seamlessly with existing tech stacks and offers real-time API and data ingestion for continuous optimization.

Outboundly is a Chrome extension that simplifies cold outreach by leveraging AI to generate personalized prospecting messages. It offers features such as AI-powered email writing, automated workflows, and LinkedIn messaging capabilities. Outboundly helps users create highly personalized emails based on prospect information, resulting in higher response rates. The software transforms the process of creating personalized prospect emails into a quick and effortless task, making it easy to scale cold outreach while maintaining personalization.

Happysales.ai is an AI-powered sales automation tool designed to revolutionize sales outreach and efficiency. It combines internal data with internet-scale intelligence to provide strategic insights, personalized emails, and role-specific messaging for each prospect. The tool offers features such as AI-driven prospect intelligence, personalized recommendations, conversation starters, practice pitch simulations, hyper-personalized outreach, multilingual support, and LinkedIn integration. Happysales AI aims to empower sales teams with scalable AI solutions for prospecting, engagement, and training, ultimately improving response rates and sales outcomes.

Bounti Labs is an AI-powered platform that blends AI efficiency with human intuition to enhance outreach and prospecting activities. It enables faster, better, and more authentic prospecting by providing AI-generated research, use cases, pitches, and sample messaging to supercharge outreach without the delay of onboarding. Bounti Labs empowers sales, marketing, and customer success teams worldwide to scale quickly and efficiently with its autonomous AI teammate.

Refleta is an AI-powered image enhancement tool designed to transform product photos into high-quality, sales-boosting images for e-commerce businesses. It utilizes advanced AI algorithms to enhance product imagery across various industries, improving SEO, customer engagement, and online sales performance. With features like platform independence, intelligent AI enhancement, and smart image transformation, Refleta helps businesses stand out in search results and increase click-through rates. The tool offers a user-friendly interface, cloud-based service, and a subscription model with flexible pricing options. Refleta also provides enterprise solutions for large-scale operations and personalized support to meet unique business needs.

Maverick is an AI-generated video platform that helps ecommerce stores create personalized interactions with customers at scale. It uses generative AI video marketing to boost ecommerce LTV, increase conversion rates, and provide exceptional customer service through personalized video recordings and branded video pages. Maverick enables users to drive revenue and engagement by delivering personalized videos through email marketing platforms, with features like automatic personalization, easy integration with ESPs, and minimal setup requirements. The application has received positive feedback from merchants and customers alike, highlighting its ability to build trust, improve brand perception, and increase customer satisfaction.

Prevess is an AI-powered API tool that provides nutrition and wellness recommendations at scale. It offers businesses in healthcare, fitness, nutrition, and wellness the ability to integrate highly personalized recommendations based on scientific research and user data. Prevess API allows for easy and fast integration into various industries, leveraging a comprehensive knowledge base and data utilization from wearables, lab tests, and user forms. The tool is scalable and customizable, catering to the specific needs of startups and enterprises to enhance user retention and revenue.

Windsor is a personalized video platform that helps businesses create and send personalized videos to their customers. With Windsor, businesses can record one video and use Windsor's AI platform to send millions of personalized videos to their customers. Windsor's videos can be used to increase repurchase rates, increase recovered carts, re-engage existing customers, and more.

AI-SYNT is a digital copy trained on your content. AI-SYNT enables to insert humans, products or characters into generated scenes. Grow your engagement rate up to 4x.

Hippo Video is an AI-powered video platform designed for Go-To-Market (GTM) teams. It offers a comprehensive solution for sales, marketing, campaigns, customer support, and communications. The platform enables users to create interactive videos easily and quickly, transform text into videos at scale, and personalize video campaigns. With features like Text-to-Video, AI Avatar Video Generator, Video Flows, and AI Editor, Hippo Video helps businesses enhance engagement, accelerate video production, and improve customer self-service.

BHuman is a cutting-edge AI-powered platform that allows users to create personalized videos at scale. With BHuman, you can create a digital clone of yourself that can take meetings, talk to customers, market your business, and more. BHuman's AI technology is constantly innovating, and the platform integrates with over 6,000 apps, making it a versatile tool for businesses of all sizes.

Product Hero is an e-commerce tool that helps businesses create personalized banners for their websites and emails. It uses AI to analyze product images and create layouts that are relevant to each customer. Product Hero also integrates with existing recommendation engines to ensure that the most relevant products are displayed to each customer.

Maverick is an AI-powered video marketing platform that helps ecommerce businesses create personalized videos for each of their customers across the user journey. With Maverick, businesses can record a single video and automatically personalize it for each customer, using their name and other relevant information. This helps businesses build stronger relationships with their customers, increase conversion rates, and boost lifetime value.

This repository provides a sample solution for building generative AI agents using Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain. The solution creates a generative AI financial services agent capable of assisting users with account information, loan applications, and answering natural language questions. It serves as a launchpad for developers to create personalized conversational agents for applications like chatbots and virtual assistants.

TheCodersGig is an AI-powered open-source social network platform for developers, facilitating seamless connection and collaboration. It features an integrated utility marketplace for creating plugins easily, automating backend development with scalable code. The user-friendly interface supports API integration, data models, databases, authentication, and authorization. The platform's architecture includes frontend, backend, AI services, database, marketplace, security, and DevOps layers, enabling customization and diverse integrations. Key components encompass technologies like React.js, Node.js, Python-based AI frameworks, SQL/NoSQL databases, payment gateways, security protocols, and DevOps tools for automation and scalability.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

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

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

EduChat is a large-scale language model-based chatbot system designed for intelligent education by the EduNLP team at East China Normal University. The project focuses on developing a dialogue-based language model for the education vertical domain, integrating diverse education vertical domain data, and providing functions such as automatic question generation, homework correction, emotional support, course guidance, and college entrance examination consultation. The tool aims to serve teachers, students, and parents to achieve personalized, fair, and warm intelligent education.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

Spark NLP is a state-of-the-art Natural Language Processing library built on top of Apache Spark. It provides simple, performant, and accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. Spark NLP comes with 36000+ pretrained pipelines and models in more than 200+ languages. It offers tasks such as Tokenization, Word Segmentation, Part-of-Speech Tagging, Named Entity Recognition, Dependency Parsing, Spell Checking, Text Classification, Sentiment Analysis, Token Classification, Machine Translation, Summarization, Question Answering, Table Question Answering, Text Generation, Image Classification, Image to Text (captioning), Automatic Speech Recognition, Zero-Shot Learning, and many more NLP tasks. Spark NLP is the only open-source NLP library in production that offers state-of-the-art transformers such as BERT, CamemBERT, ALBERT, ELECTRA, XLNet, DistilBERT, RoBERTa, DeBERTa, XLM-RoBERTa, Longformer, ELMO, Universal Sentence Encoder, Llama-2, M2M100, BART, Instructor, E5, Google T5, MarianMT, OpenAI GPT2, Vision Transformers (ViT), OpenAI Whisper, and many more not only to Python and R, but also to JVM ecosystem (Java, Scala, and Kotlin) at scale by extending Apache Spark natively.

Zep is a long-term memory service for AI Assistant apps. With Zep, you can provide AI assistants with the ability to recall past conversations, no matter how distant, while also reducing hallucinations, latency, and cost. Zep persists and recalls chat histories, and automatically generates summaries and other artifacts from these chat histories. It also embeds messages and summaries, enabling you to search Zep for relevant context from past conversations. Zep does all of this asyncronously, ensuring these operations don't impact your user's chat experience. Data is persisted to database, allowing you to scale out when growth demands. Zep also provides a simple, easy to use abstraction for document vector search called Document Collections. This is designed to complement Zep's core memory features, but is not designed to be a general purpose vector database. Zep allows you to be more intentional about constructing your prompt: 1. automatically adding a few recent messages, with the number customized for your app; 2. a summary of recent conversations prior to the messages above; 3. and/or contextually relevant summaries or messages surfaced from the entire chat session. 4. and/or relevant Business data from Zep Document Collections.

Resume Job Matcher is a Python script that automates the process of matching resumes to a job description using AI. It leverages the Anthropic Claude API or OpenAI's GPT API to analyze resumes and provide a match score along with personalized email responses for candidates. The tool offers comprehensive resume processing, advanced AI-powered analysis, in-depth evaluation & scoring, comprehensive analytics & reporting, enhanced candidate profiling, and robust system management. Users can customize font presets, generate PDF versions of unified resumes, adjust logging level, change scoring model, modify AI provider, and adjust AI model. The final score for each resume is calculated based on AI-generated match score and resume quality score, ensuring content relevance and presentation quality are considered. Troubleshooting tips, best practices, contribution guidelines, and required Python packages are provided.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Mobius is an AI infra platform including realtime computing and training. It is built on Ray, a distributed computing framework, and provides a number of features that make it well-suited for online machine learning tasks. These features include: * **Cross Language**: Mobius can run in multiple languages (only Python and Java are supported currently) with high efficiency. You can implement your operator in different languages and run them in one job. * **Single Node Failover**: Mobius has a special failover mechanism that only needs to rollback the failed node itself, in most cases, to recover the job. This is a huge benefit if your job is sensitive about failure recovery time. * **AutoScaling**: Mobius can generate a new graph with different configurations in runtime without stopping the job. * **Fusion Training**: Mobius can combine TensorFlow/Pytorch and streaming, then building an e2e online machine learning pipeline. Mobius is still under development, but it has already been used to power a number of real-world applications, including: * A real-time recommendation system for a major e-commerce company * A fraud detection system for a large financial institution * A personalized news feed for a major news organization If you are interested in using Mobius for your own online machine learning projects, you can find more information in the documentation.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

Lance is a modern columnar data format optimized for ML workflows and datasets. It offers high-performance random access, vector search, zero-copy automatic versioning, and ecosystem integrations with Apache Arrow, Pandas, Polars, and DuckDB. Lance is designed to address the challenges of the ML development cycle, providing a unified data format for collection, exploration, analytics, feature engineering, training, evaluation, deployment, and monitoring. It aims to reduce data silos and streamline the ML development process.

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