Best AI tools for< Unify Data >

Growcado is an AI-powered marketing automation platform that helps businesses unify data and content to engage and personalize customer experiences for better results. The platform leverages advanced AI analysis to predict customer segments accurately, extract customer preferences, and deliver customized experiences with precision and ease. With features like AI-powered segmentation, personalization engine, dynamic segmentation, intelligent content management, and real-time analytics, Growcado empowers businesses to optimize their marketing strategies and enhance customer engagement. The platform also offers seamless integrations, scalable architecture, and no-code customization for easy deployment of personalized marketing assets across multiple channels.

AnO is an AI-powered Marketing Technology consulting company that specializes in providing digital transformation services for businesses of all sizes. They offer comprehensive marketing services, including Strategy Development, Customer Engagement Platforms (CDP), CRM Effectiveness, AI Marketing, and complete outsourced marketing solutions. AnO is committed to staying at the forefront of technological advancements and industry best practices to deliver cutting-edge solutions that drive sustainable growth and competitive advantage for their clients.

Tabula is a visual data analytics tool that uses AI to help businesses get insights from their data. It is easy to use and can be used by anyone, regardless of their technical expertise. Tabula can be used to access and unify data from a variety of sources, standardize and blend datasets, add custom metrics, build stunning reports, and automate repetitive tasks. Tabula is integrated with a variety of data sources and platforms, making it easy to get started.

Nexa is an autonomous AI tool designed for Sales and Marketing teams. It uses AI agents to unify data from various tools, generating valuable insights to enhance sales performance and optimize marketing spend. The platform is built for high-growth startups post Series A funding, offering seamless data integration and instant access to revenue-driving insights. Nexa aims to streamline data analysis processes and boost productivity by providing a user-friendly interface and customizable features.

Graphy is a data visualization and reporting tool that helps marketers create beautiful, interactive reports in minutes. It is powered by AI to increase productivity and make data more accessible and understandable. With Graphy, you can unify your data from all your tools into a single, shareable view. You can also explore data in the tools you've already mastered, then save it in Graphy to tell your data story with AI Insights, comments, annotations, goals, trend lines, and even emojis.

Blueshift is an AI-powered cross-channel marketing platform that offers intelligent customer engagement solutions simplified with AI technology. The platform allows users to automate marketing messages, unify and activate customer data, and run highly-personalized campaigns across various channels. Blueshift's AI capabilities provide real-time decision-making, advanced audience segmentation, and personalized customer journeys. The platform integrates seamlessly with existing tools and systems, offering a unified solution for cross-channel marketing challenges. With a focus on delivering real results quickly, Blueshift helps businesses grow lifetime value, increase customer engagement, and drive growth through hyper-personalized recommendations and tailored content.

Halda is an AI-powered engagement, analytics, and conversion tool designed for higher education institutions. It helps in optimizing the enrollment marketing lifecycle by providing data visibility, AI-powered interactions, and playbooks that convert prospective students at each stage of their journey. Halda enables users to unify their data, personalize interactions with ease, and capture more inquiries through engaging quizzes and forms. The tool empowers users to personalize the experience for prospective students immediately after form submissions and retarget them with personalized messages. Halda also provides insights and strategies to boost student engagement and improve enrollment outcomes.

AppSheet is a no-code application development platform that allows users to build powerful applications and automations without writing any code. It uses artificial intelligence (AI) to help users create and power intelligent apps, automate work, and unify apps and data. AppSheet is fully integrated with Google Workspace, making it easy to connect with other Google products and services.

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform. The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market. The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

Propellor is a data analytics platform that helps businesses unify and activate their data. It offers a variety of features, including dashboards, templates, data apps, and connectors. Propellor is designed to be easy to use, even for non-technical users. It can be used to analyze data from a variety of sources, including webstores, marketing apps, social media, and CRM systems. Propellor can help businesses improve their decision-making, identify growth opportunities, and prove the impact of their marketing campaigns.

Markopolo is an e-commerce growth platform that helps businesses increase sales, improve ad efficiency, and enhance marketing outcomes. It offers a range of solutions for agencies, e-commerce businesses, and enterprises, including data unification, analytics, ad optimization, and reporting. Markopolo leverages AI to provide precise targeting, optimization, advanced attribution, and seamless automation, enabling businesses to maximize their marketing ROI.

Unify is an AI tool that offers a unified platform for accessing and comparing various Language Models (LLMs) from different providers. It allows users to combine models for faster, cheaper, and better responses, optimizing for quality, speed, and cost-efficiency. Unify simplifies the complex task of selecting the best LLM by providing transparent benchmarks, personalized routing, and performance optimization tools.

Sprinklr is a unified customer experience management platform that uses AI to help businesses deliver better customer experiences across all channels. It offers a range of features, including social media management, customer service, marketing automation, and analytics. Sprinklr is used by some of the world's largest brands, including Nike, McDonald's, and Microsoft.

DevRev is an AI-powered platform that unifies customer support and software development. It offers solutions for product development, support, and engagement through its AgentOS platform and knowledge graph. DevRev aims to replace legacy tools with AI-driven insights and analytics to help companies make informed decisions and improve customer experiences.

Eclipse AI is an AI-powered customer feedback analytics platform that seamlessly collects and unifies customer feedback from various channels. It provides actionable insights to improve customer experience by analyzing data and predicting customer behavior. Eclipse AI helps organizations save time on manual analysis, boost customer loyalty, and achieve measurable improvements in CX metrics. With features like integrating feedback channels, generating insights, and linking feedback to KPIs, Eclipse AI is a valuable tool for customer-focused organizations.

Braze is a customer engagement platform that offers behavior-based automation, predictive tools, A/B testing, journey orchestration, cross-channel messaging, experimentation, and analytics. It helps businesses unify, activate, and distribute data without complicated processes, enabling them to create personalized experiences for customers. With Sage AI by Braze, users can leverage AI for growth, personalized content creation, and journey orchestration. Braze empowers brands to modernize their marketing approach, drive revenue, and improve customer engagement through real-time execution and scalable solutions.

Chative is an AI-powered platform that helps e-commerce and online businesses engage with customers through live chat and chatbots. It offers an Omni-channel inbox to streamline and manage all chats across channels, e-commerce messaging to stay in touch with customers and create new orders, CRM for social messaging to unify customer profiles, and AI agent & automation to automate personalized engagement and support. Chative empowers businesses to centralize data, enhance customer insights, personalize recommendations, and automate repetitive tasks to drive sales and improve customer satisfaction.

Rodin is a free AI 3D model generator application that allows users to create high-quality 3D assets from images. It offers features such as generating 3D models from single or multi-view images, texture generation, mesh editing, model viewing, and format conversion. Users can subscribe to unlock additional features and earn credits by sharing stories. Rodin is developed by Deemos, Inc., and aims to provide a user-friendly platform for 3D asset creation.

Blue Sky eLearn is an award-winning eLearning experience and virtual event company that offers a suite of services designed to work seamlessly with their top learning management system (LMS) called Path LMS. They provide AI-powered features to revolutionize workflow, create education programs faster, offer personalized member experiences, and drive learner engagement. Blue Sky eLearn is dedicated to serving professional and trade associations, legal organizations, medical organizations, professional education, clinical and life sciences organizations, and association management companies. Their platform integrates extensive and flexible services, supported by a world-class learning and development team, and industry-leading client support.

1440.io is an Omnichannel Engagement Suite designed for Salesforce, offering a comprehensive set of tools to streamline customer engagement across various channels. It enables businesses to unify conversations across the customer journey, leverage AI-powered chatbots, personalize interactions, and optimize contact centers. The platform is trusted by leading enterprise brands and aims to improve time-to-value by maximizing the 1440 minutes we all have each day. With features like messaging studio, translation studio, reputation studio, and commerce studio, 1440.io empowers customer-facing teams to deliver premium experiences and drive sales through conversational commerce.

The Unify Python Package provides access to the Unify REST API, allowing users to query Large Language Models (LLMs) from any Python 3.7.1+ application. It includes Synchronous and Asynchronous clients with Streaming responses support. Users can easily use any endpoint with a single key, route to the best endpoint for optimal throughput, cost, or latency, and customize prompts to interact with the models. The package also supports dynamic routing to automatically direct requests to the top-performing provider. Additionally, users can enable streaming responses and interact with the models asynchronously for handling multiple user requests simultaneously.

Hof is a CLI tool that unifies data models, schemas, code generation, and a task engine. It allows users to augment data, config, and schemas with CUE to improve consistency, generate multiple Yaml and JSON files, explore data or config with a TUI, and run workflows with automatic task dependency inference. The tool uses CUE to power the DX and implementation, providing a language for specifying schemas, configuration, and writing declarative code. Hof offers core features like code generation, data model management, task engine, CUE cmds, creators, modules, TUI, and chat for better, scalable results.

Sail is a tool designed to unify stream processing, batch processing, and compute-intensive workloads, serving as a drop-in replacement for Spark SQL and the Spark DataFrame API in single-process settings. It aims to streamline data processing tasks and facilitate AI workloads.

The DALM (Domain Adapted Language Modeling) toolkit is designed to unify general LLMs with vector stores to ground AI systems in efficient, factual domains. It provides developers with tools to build on top of Arcee's open source Domain Pretrained LLMs, enabling organizations to deeply tailor AI according to their unique intellectual property and worldview. The toolkit contains code for fine-tuning a fully differential Retrieval Augmented Generation (RAG-end2end) architecture, incorporating in-batch negative concept alongside RAG's marginalization for efficiency. It includes training scripts for both retriever and generator models, evaluation scripts, data processing codes, and synthetic data generation code.

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.

Genesis is a physics platform designed for general purpose Robotics/Embodied AI/Physical AI applications. It includes a universal physics engine, a lightweight, ultra-fast, pythonic, and user-friendly robotics simulation platform, a powerful and fast photo-realistic rendering system, and a generative data engine that transforms user-prompted natural language description into various modalities of data. It aims to lower the barrier to using physics simulations, unify state-of-the-art physics solvers, and minimize human effort in collecting and generating data for robotics and other domains.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

MathEval is a benchmark designed for evaluating the mathematical capabilities of large models. It includes over 20 evaluation datasets covering various mathematical domains with more than 30,000 math problems. The goal is to assess the performance of large models across different difficulty levels and mathematical subfields. MathEval serves as a reliable reference for comparing mathematical abilities among large models and offers guidance on enhancing their mathematical capabilities in the future.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

Superlinked is a compute framework for information retrieval and feature engineering systems, focusing on converting complex data into vector embeddings for RAG, Search, RecSys, and Analytics stack integration. It enables custom model performance in machine learning with pre-trained model convenience. The tool allows users to build multimodal vectors, define weights at query time, and avoid postprocessing & rerank requirements. Users can explore the computational model through simple scripts and python notebooks, with a future release planned for production usage with built-in data infra and vector database integrations.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

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.

Spice is a portable runtime written in Rust that offers developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. It connects, fuses, and delivers data to applications, machine-learning models, and AI-backends, functioning as an application-specific, tier-optimized Database CDN. Built with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it fast and easy to query data from one or more sources using SQL, co-locating a managed dataset with applications or machine learning models, and accelerating it with Arrow in-memory, SQLite/DuckDB, or attached PostgreSQL for fast, high-concurrency, low-latency queries.

Airweave is an open-core tool that simplifies the process of making data searchable by unifying apps, APIs, and databases into a vector database with minimal configuration. It offers over 120 integrations, simplicity in syncing data from diverse sources, extensibility through 'sources', 'destinations', and 'embedders', and an async-first approach for large-scale data synchronization. With features like no-code setup, white-labeled multi-tenant support, chunk generators, automated sync, versioning & hashing, multi-source support, and scalability, Airweave provides a comprehensive solution for building applications that require semantic search.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.

Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. _For interpretability in NLP, check out our new package:imodelsX _

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