Best AI tools for< Multimodal Data Analyst >

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

Roboto AI is an advanced platform that allows users to curate, transform, and analyze robotics data at scale. It provides features for data management, actions, events, search capabilities, and SDK integration. The application helps users understand complex machine data through multimodal queries and custom actions, enabling efficient data processing and collaboration within teams.

Mixpeek is a flexible search infrastructure designed to simplify multimodal search across various media types. It allows users to search using natural language, images, or video clips, providing insights and recommendations with just one line of code. Mixpeek offers universal media intelligence, semantic search, visual query, hybrid search, and fine-tuning capabilities for precise and efficient multimodal search results. It is built to scale with user needs, supporting hosted or BYO models for image, video, and audio understanding. Mixpeek also provides performance analytics, advanced aggregations, and custom entities detection across media types.

Mixpeek is a multimodal intelligence platform that helps users extract important data from videos, images, audio, and documents. It enables users to focus on insights rather than data preparation by identifying concepts, activities, and objects from various sources. Mixpeek offers features such as real-time synchronization, extraction and embedding, fine-tuning and scaling of models, and seamless integration with various data sources. The platform is designed to be easy to use, scalable, and secure, making it suitable for a wide range of applications.

The website offers content moderation and image analysis products using powerful APIs to automatically assess, filter, and moderate images, videos, and text. It provides features such as image moderation, video moderation, text moderation, AI image detection, and video anonymization. The application helps in detecting unwanted content, AI-generated images, and personal information in videos. It also offers tools to identify near-duplicates, spam, and abusive links, and prevent phishing and circumvention attempts. The platform is fast, scalable, accurate, easy to integrate, and privacy compliant, making it suitable for various industries like marketplaces, dating apps, and news platforms.

Collie is a one-click application that fetches every asset from your website to create an impressive knowledge hub for your users. It is powered by Mixpeek and offers amazing search experiences by extracting content, media, and files from URLs provided. Collie supports various types of content like PDFs, Images, Videos, Audio, HTML, and Text, making it a versatile tool for website owners. The application is free for up to 1000 pages or files and offers a private embedded file search for select users in beta.

GoodGist is an Agentic AI platform for Business Process Automation that goes beyond traditional RPA tools by offering Adaptive Multi-Agent AI with Human-in-the-loop workflows. It enables end-to-end process automation, supports unstructured and multimodal data, ensures real-time decision-making, and maintains human oversight for scalable performance. GoodGist caters to various industries like manufacturing, supply chain, banking, insurance, healthcare, retail, and CPG, providing enterprise-grade security, compliance, and rapid ROI.

GPT-4o is an advanced multimodal AI platform developed by OpenAI, offering a comprehensive AI interaction experience across text, imagery, and audio. It excels in text comprehension, image analysis, and voice recognition, providing swift, cost-effective, and universally accessible AI technology. GPT-4o democratizes AI by balancing free access with premium features for paid subscribers, revolutionizing the way we interact with artificial intelligence.

Encord is a leading data development platform designed for computer vision and multimodal AI teams. It offers a comprehensive suite of tools to manage, clean, and curate data, streamline labeling and workflow management, and evaluate AI model performance. With features like data indexing, annotation, and active model evaluation, Encord empowers users to accelerate their AI data workflows and build robust models efficiently.

V7 is an AI data engine for computer vision and generative AI. It provides a multimodal automation tool that helps users label data 10x faster, power AI products via API, build AI + human workflows, and reach 99% AI accuracy. V7's platform includes features such as automated annotation, DICOM annotation, dataset management, model management, image annotation, video annotation, document processing, and labeling services.

Roboflow is an AI tool designed for computer vision tasks, offering a platform that allows users to annotate, train, deploy, and perform inference on models. It provides integrations, ecosystem support, and features like notebooks, autodistillation, and supervision. Roboflow caters to various industries such as aerospace, agriculture, healthcare, finance, and more, with a focus on simplifying the development and deployment of computer vision models.

The website features Grok-1.5, an AI application that bridges the gap between the digital and physical worlds through its multimodal model. Grok-1.5 boasts enhanced reasoning capabilities and a context length of 128,000 tokens. Additionally, the platform offers PromptIDE, an IDE for prompt engineering and interpretability research, allowing users to create and share complex prompts in Python. Grok, an AI modeled after the Hitchhiker’s Guide to the Galaxy, is also available on the site, providing answers to a wide range of questions and even suggesting relevant queries. The platform aims to facilitate knowledge sharing and exploration through advanced AI technologies.

Zensors is an AI application that offers Visual AI agents for real-world understanding. It provides a Spatial AI platform for spatial monetization, Virtual Manager AI solution to automate location operations, and On-Prem AI for understanding spaces, monitoring service processes, forecasting accurately, and ensuring efficiency. Zensors leverages Multimodal AI for video understanding and Spatial AI for structuring unstructured data. The application caters to various industries such as Aviation, Retail, and Commercial Real Estate, offering operational efficiencies, strategic planning, financial performance, safety, and sustainability through AI-driven solutions.

Cartesia Sonic Team Blog Research Playground is an AI application that offers real-time multimodal intelligence for every device. The application aims to build the next generation of AI by providing ubiquitous, interactive intelligence that can run on any device. It features the fastest, ultra-realistic generative voice API and is backed by research on simple linear attention language models and state-space models. The founding team, who met at the Stanford AI Lab, has invented State Space Models (SSMs) and scaled it up to achieve state-of-the-art results in various modalities such as text, audio, video, images, and time-series data.

Open GPT 4o is an advanced large multimodal language model developed by OpenAI, offering real-time audiovisual responses, emotion recognition, and superior visual capabilities. It can handle text, audio, and image inputs, providing a rich and interactive user experience. GPT 4o is free for all users and features faster response times, advanced interactivity, and the ability to recognize and output emotions. It is designed to be more powerful and comprehensive than its predecessor, GPT 4, making it suitable for applications requiring voice interaction and multimodal processing.

Encord is a complete data development platform designed for AI applications, specifically tailored for computer vision and multimodal AI teams. It offers tools to intelligently manage, clean, and curate data, streamline labeling and workflow management, and evaluate model performance. Encord aims to unlock the potential of AI for organizations by simplifying data-centric AI pipelines, enabling the building of better models and deploying high-quality production AI faster.

ScreenAI is a powerful macOS application that leverages advanced multimodal AI to enhance productivity. By simply taking a screenshot, users can automate tasks such as scheduling, content explanation, and chat responses. The application seamlessly integrates with Apple's native apps, providing an immersive and efficient user experience. With a focus on privacy and data security, ScreenAI ensures that all data stays local and partners only with trusted AI service providers.

User Evaluation is an AI-first user research platform that leverages AI technology to provide instant insights, comprehensive reports, and on-demand answers to enhance customer research. The platform offers features such as AI-driven data analysis, multilingual transcription, live timestamped notes, AI reports & presentations, and multimodal AI chat. User Evaluation empowers users to analyze qualitative and quantitative data, synthesize AI-generated recommendations, and ensure data security through encryption protocols. It is designed for design agencies, product managers, founders, and leaders seeking to accelerate innovation and shape exceptional product experiences.

VeedoAI is an advanced AI tool that supports large multimodal models to provide video insights for boosting engagement, accelerating learning, and maximizing revenue. It offers features such as contextual search, flashcards, AI chat, short videos creation, video to blog conversion, frame explanation, transcription, smart scenes, and transcript summarization. VeedoAI is trusted by a community of 6,000+ creators and businesses for various use cases like telemedicine, e-learning, law, videography, sports, and sales. The application transforms video content into engaging, active learning material, enhances accessibility with AI-generated captions, and engages the audience with interactive Q&A experiences.

ViSenze Solutions is an AI-powered platform that offers Smart Search and Product Discovery solutions for e-commerce businesses. Leveraging multimodal AI technology, ViSenze provides personalized search experiences, relevant product recommendations, and seamless shopping journeys to drive conversions and revenue. The platform integrates advanced AI and machine learning to enable natural language, image, and keyword-based searches, as well as personalized recommendations and AI-powered styling assistance. ViSenze also offers tools for customizing search and discovery experiences, automated product tagging, performance analytics, and global support for tailored solutions. With a focus on scalability, performance, and security, ViSenze aims to enhance the online shopping experience for customers and optimize business outcomes for retailers.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

MicroLens is a content-driven micro-video recommendation dataset at scale. It provides a large dataset with multimodal data, including raw text, images, audio, video, and video comments, for tasks such as multi-modal recommendation, foundation model building, and fairness recommendation. The dataset is available in two versions: MicroLens-50K and MicroLens-100K, with extracted features for multimodal recommendation tasks. Researchers can access the dataset through provided links and reach out to the corresponding author for the complete dataset. The repository also includes codes for various algorithms like VideoRec, IDRec, and VIDRec, each implementing different video models and baselines.

LabelLLM is an open-source data annotation platform designed to optimize the data annotation process for LLM development. It offers flexible configuration, multimodal data support, comprehensive task management, and AI-assisted annotation. Users can access a suite of annotation tools, enjoy a user-friendly experience, and enhance efficiency. The platform allows real-time monitoring of annotation progress and quality control, ensuring data integrity and timeliness.

At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.

VITA is an open-source interactive omni multimodal Large Language Model (LLM) capable of processing video, image, text, and audio inputs simultaneously. It stands out with features like Omni Multimodal Understanding, Non-awakening Interaction, and Audio Interrupt Interaction. VITA can respond to user queries without a wake-up word, track and filter external queries in real-time, and handle various query inputs effectively. The model utilizes state tokens and a duplex scheme to enhance the multimodal interactive experience.

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.

DataChain is an open-source Python library for processing and curating unstructured data at scale. It supports AI-driven data curation using local ML models and LLM APIs, handles large datasets, and is Python-friendly with Pydantic objects. It excels at optimizing batch operations and is designed for offline data processing, curation, and ETL. Typical use cases include Computer Vision data curation, LLM analytics, and validation.

Nmed2024 is a GitHub repository that contains code for a neural network model designed for medical image analysis. The repository includes scripts for training the model, as well as pre-trained weights for quick deployment. The model is specifically tailored for detecting abnormalities in medical images, such as tumors or fractures. It utilizes deep learning techniques to achieve high accuracy and can be easily integrated into existing medical imaging systems. Researchers and developers in the healthcare industry can leverage this tool to enhance the efficiency and accuracy of medical image analysis tasks.

Unity Catalog is an open and interoperable catalog for data and AI, supporting multi-format tables, unstructured data, and AI assets. It offers plugin support for extensibility and interoperates with Delta Sharing protocol. The catalog is fully open with OpenAPI spec and OSS implementation, providing unified governance for data and AI with asset-level access control enforced through REST APIs.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Openmacro is a multimodal personal agent that allows users to run code locally. It acts as a personal agent capable of completing and automating tasks autonomously via self-prompting. The tool provides a CLI natural-language interface for completing and automating tasks, analyzing and plotting data, browsing the web, and manipulating files. Currently, it supports API keys for models powered by SambaNova, with plans to add support for other hosts like OpenAI and Anthropic in future versions.

The Pipe is a multimodal-first tool for feeding files and web pages into vision-language models such as GPT-4V. It is best for LLM and RAG applications that require a deep understanding of tricky data sources. The Pipe is available as a hosted API at thepi.pe, or it can be set up locally.

This repository, MMC, focuses on advancing multimodal chart understanding through large-scale instruction tuning. It introduces a dataset supporting various tasks and chart types, a benchmark for evaluating reasoning capabilities over charts, and an assistant achieving state-of-the-art performance on chart QA benchmarks. The repository provides data for chart-text alignment, benchmarking, and instruction tuning, along with existing datasets used in experiments. Additionally, it offers a Gradio demo for the MMCA model.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

The 'Dive into Large Language Models' series programming practice tutorial is an extension of the 'Artificial Intelligence Security Technology' course lecture notes from Shanghai Jiao Tong University (Instructor: Zhang Zhuosheng). It aims to provide introductory programming references related to large models. Through simple practice, it helps students quickly grasp large models, better engage in course design, or academic research. The tutorial covers topics such as fine-tuning and deployment, prompt learning and thought chains, knowledge editing, model watermarking, jailbreak attacks, multimodal models, large model intelligent agents, and security. Disclaimer: The content is based on contributors' personal experiences, internet data, and accumulated research work, provided for reference only.

マルチモーダルデータからの情報抽出と解析を専門とする

Multimodal summarizer in a structured, academic style.

I am Abraham Lincoln, interpreting today's world with historical insight. Born from primary sources and multimodal, join me in a unique conversational journey.