Search results for Graph

Graph.Build allows you to create graph models, including knowledge graphs using your own data (or no data) from sources ranging from files such as csv and xml through to SQL databases and many more a visual drag-and-drop no-code interface . You can then publish to a huge range of graph databases from popular vendors. Transformers and Writers serve as the adapters for the visual editor so that you can customise the setup for your needs both for data import and on-going graph data pipelines. It combines ETL, graph modelling, ontology management and publishing all in one platform, you can think of it as an IDE for graph data production.

Strike Graph is designed to revolutionize how businesses achieve and maintain security compliance. From SOC 2, ISO 27001, and HIPAA to CMMC, NIST, PCI DSS, TISAX, and more. With a mission to help companies efficiently and effectively prove compliance and build trust, Strike Graph transforms compliance from a burdensome expense into a strategic advantage.

Graph.one is a comprehensive platform designed to simplify the creation, management, and visualization of complex graphs and networks. It offers an intuitive interface that allows users to build and analyze intricate data structures without requiring extensive technical expertise. The platform supports a wide range of applications, from social network analysis to data science projects, enabling users to uncover patterns and insights within their data. Key Features and Functionality: - User-Friendly Interface: Graph.one provides a drag-and-drop environment for constructing and editing graphs, making it accessible to users of all skill levels. - Advanced Visualization Tools: The platform offers a variety of visualization options, including customizable layouts and color schemes, to effectively represent complex networks. - Data Import and Export: Users can easily import data from various sources and export their graphs in multiple formats for seamless integration with other tools. - Collaboration Capabilities: Graph.one supports real-time collaboration, allowing teams to work together on graph projects simultaneously. - Analytical Tools: The platform includes built-in algorithms for network analysis, such as centrality measures and community detection, to help users derive meaningful insights. Primary Value and User Solutions: Graph.one addresses the challenge of managing and interpreting complex relational data by providing a streamlined and accessible platform for graph creation and analysis. It empowers users to visualize connections, identify patterns, and make data-driven decisions without the need for specialized programming skills. By facilitating collaboration and offering robust analytical tools, Graph.one enhances productivity and fosters a deeper understanding of networked information across various domains.

Graph.plus is an AI-powered, graph-based app development platform designed to revolutionize the creation of applications and games. By enabling users to build and iterate on multiple versions simultaneously, it accelerates the development process and fosters innovation without the constraints of traditional linear workflows. This platform is ideal for creators, teams, and developers seeking a more efficient and collaborative approach to app development. Key Features and Functionality: - Graph-Based Visual Development: Visualize your entire project history as an interactive graph, allowing for non-destructive branching and experimentation without losing previous work. - Parallel AI Generation: Utilize multiple AI models, such as GPT-4.1, Gemini 2.5 Pro, and Claude 4 Opus, concurrently to generate code and assets, enabling comparison and integration of the best elements from each. - Real-Time Collaboration: Work simultaneously with team members on a shared canvas, facilitating seamless communication and collective creativity. - Live Preview: Instantly test and visualize your application's functionality, ensuring immediate feedback and rapid iteration. - Multi-Platform Publishing: Deploy your applications effortlessly to platforms like PlayDot, Graph Showcase, and AI App Lists, broadening your reach and user engagement. - Built-In Version Control: Manage and track changes to your graphs and game assets efficiently, maintaining a comprehensive version history for easy reference and rollback. Primary Value and User Solutions: Graph.plus addresses the limitations of traditional app development by offering a flexible, AI-integrated environment that promotes rapid prototyping and iteration. Its graph-based structure allows developers to explore numerous ideas in parallel without the risk of losing progress, thereby enhancing creativity and productivity. The platform's real-time collaboration and live preview features streamline teamwork and decision-making processes, making it an invaluable tool for both individual developers and teams aiming to bring their innovative ideas to life efficiently.

Microsoft Graph is a comprehensive API platform that provides unified access to a vast array of data and intelligence from Microsoft 365, Windows, and Enterprise Mobility + Security services. By offering a single endpoint, it enables developers to seamlessly integrate their applications with Microsoft's ecosystem, facilitating the creation of solutions that interact with millions of users. Key Features and Functionality: - Unified API Endpoint: Access aggregated data from multiple Microsoft cloud services through a single REST API endpoint, simplifying integration and reducing development complexity. - Rich Data Access: Retrieve information from services such as Outlook, OneDrive, Azure Active Directory, Planner, OneNote, and more, encompassing user profiles, emails, calendars, files, and Teams conversations. - Intelligent Insights: Leverage built-in intelligence to gain insights into organizational productivity, collaboration patterns, and user behavior, enhancing decision-making and user engagement. - Granular Permissions: Implement fine-grained access controls using Azure Active Directory, ensuring secure and compliant data access tailored to specific application needs. - Cross-Platform Integration: Develop applications that work seamlessly across various platforms, including Windows, Android, and iOS, by utilizing the consistent and standardized API framework. Primary Value and Solutions Provided: Microsoft Graph addresses the challenge of integrating disparate Microsoft services by offering a unified API, thereby reducing development time and effort. It empowers developers to build applications that provide users with a cohesive experience across Microsoft 365 services, enhancing productivity and collaboration. By accessing rich organizational data and insights, businesses can create intelligent solutions that drive efficiency, inform strategic decisions, and deliver personalized user experiences.

Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.

IBM Graph is designed to help you answer questions about large or complex networks of inter-related data. It enhances the power of data connections by letting you store, query and visualize data points, connections and properties in a property graph.

yEd is a powerful desktop application that can be used to quickly and effectively generate high-quality diagrams.

Ultipa builds category-defining real-time graph XAI & database products, and empowers smart enterprises with graph augmented intelligence. Enterprises around the world are going through a major digital transformation trend, which asks for data intelligence + infrastructure revolution. Traditional SQL/RDMBS and most NoSQLs/ML/AI frameworks are outdated, sluggish, black-box and un-flexible. Ultipa graph database products aim to solve these problems w/ real-time graph computing, flexible data modeling, eXplainable AI (XAI) and graph-augmented intelligence. We started in 2019 and began commercialization in 2021, since then we have been serving some of the world's largest banks, insurance companies, regulators and enterprises, and we have applied Ultipa graph database into vertical industries that no other graph vendors could have imagined, such as liquidity risk management, previously only mega players like Oracle had solution which takes T+1 while Ultipa takes

Better Graph is a leading SEO service provider with special recognition for world-class Mobile App Marketing Services.

LegalGraph Short Description: LegalGraph is an AI-powered contract review solution designed to empower legal and non-legal professionals to analyze legal documents and extract key information, such as deadlines, intellectual property rights, and data protection clauses. You can reduce contract review time by up to 60% and minimize human contract review errors by up to 80% with LegalGraph's intelligent automation. Our platform accurately extracts key legal terms from even the most complex 500 pages long agreements, saving you valuable time and resources. Long Description: LegalGraph is an AI-powered contract review solution designed to empower legal and non-legal professionals to analyze legal documents and extract key information, such as deadlines, intellectual property rights, and data protection clauses. You can reduce contract review time by up to 60% and minimize human contract review errors by up to 80% with LegalGraph's intelligent automation. Our platform accurately extracts key legal terms from even the most complex 500 pages long agreements, saving you valuable time and resources. Law firms and in-house legal teams are constantly battling tight deadlines and overflowing workloads. Manual contract review, a critical yet time-consuming task, often eats away at valuable time that could be spent on strategic initiatives. LegalGraph steps in as your intelligent partner, leveraging the power of AI to streamline contract review and empower attorneys to focus on what matters most. Imagine this: Instead of spending hours poring over lengthy agreements, searching for critical clauses and terms, you can have LegalGraph do the heavy lifting. With its advanced AI capabilities, LegalGraph can: Key Features: Effortlessly Extract Key Legal Terms: Say goodbye to tedious manual searching. LegalGraph can pinpoint crucial information like data breach notification deadlines, intellectual property (IP) ownership rights, data protection obligations, and more. This includes identifying specific terms and phrases you define as important, ensuring nothing gets missed. Simplify Contract Analysis: LegalGraph doesn't just identify key terms; it presents them in a clear and organized table format. This allows you to quickly scan and analyze the information, saving you the time and frustration of sifting through dense legal jargon. Manage Contract Files: Effortlessly manage and search contracts using filters for name, contract type, date added. Trustworthy Legal AI: Verify results with transparent citations section name and page number of source for each result. Transparent Insights: LegalGraph doesn't operate as a black box. It provides clear explanations (Chain of Thought) for how the AI arrived at each conclusion. Additionally, confidence scores for each result give you a sense of the AI's certainty in its findings. This transparency fosters trust and allows you to verify the accuracy of the extracted information with ease. Benefits: Time Saved: Reduce contract review time by up to 60%. Imagine reviewing key legal terms hundreds of contracts in a fraction of the time currently spent on manual processes. Increased Accuracy: Minimize errors by 80% with accurate AI data extraction and analysis. LegalGraph boasts a 20% higher accuracy in identifying key legal terms from contracts compared to vanilla GPT solutions. Cost Reduction: Lower review costs by up to 40% through automation. Close deals faster: Accelerate deal flow by expediting contract review. Minimize risk: Mitigate the consequences of errors associated with manual review.

Build game-changing graph visualization products that turn connected data into insight.

The Graph is a decentralized protocol designed to index and query blockchain data efficiently across over 90 networks. By organizing on-chain information into accessible formats, it empowers developers to build and deploy decentralized applications (dApps) without the complexities of managing proprietary indexing servers or parsing raw blockchain data. This streamlined approach accelerates development cycles and enhances the performance of web3 applications. Key Features and Functionality: - Subgraphs: Open APIs that allow developers to extract, process, and query blockchain data seamlessly. - Substreams: High-performance data streams enabling real-time and historical blockchain data processing with parallel execution. - Token API: Provides instant access to standardized token data, including balances and prices, requiring zero setup. - Graph Node: Indexes blockchain data and serves it via GraphQL queries, facilitating efficient data retrieval. - Firehose: Extracts blockchain data into flat files to expedite synchronization times. Primary Value and User Solutions: The Graph addresses the inherent challenges of accessing and utilizing blockchain data by offering a decentralized and efficient indexing protocol. It eliminates the need for developers to build and maintain complex infrastructure, reducing costs by 60-98% per month and ensuring 99.99% uptime. By providing fast, reliable, and easy access to blockchain data, The Graph enables developers to focus on creating innovative dApps, thereby accelerating the adoption and growth of the decentralized web.

AWS IoT Things Graph is a service that makes it easy to visually connect different devices and web services to build IoT applications.

Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

OnAudience Graph is a cookieless solution that allows marketers to find data about users on the basis on any kind of ID, such as Unified ID 2.0, Xandr ID, or Connected TV IDs OnAudience Graph also allow marketers to target one user on various devices. Cross-device targeting makes it possible to target your mobile user on desktop too.

Neo4j Graph Data Science is an analytics and ML engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making. Practical business applications and operations benefit from the context-first analysis that only graphs can provide across projects like recommendation engines, anomaly and fraud detection, route optimization, marketing, network analysis, and many more.

Maltego Graph is a comprehensive cyber investigation platform designed to accelerate complex investigations by enabling users to uncover and visualize connections within large datasets swiftly. It integrates data from various sources, including open-source intelligence (OSINT), social media, and internal databases, presenting them in an intuitive graph format. This visualization aids in identifying patterns and relationships that might be overlooked in traditional analysis methods. Key Features and Functionality: - Visual Link Analysis: Maltego Graph allows users to perform link analysis on up to 10,000 entities within a single graph, facilitating the identification of complex relationships. - Data Integration: The platform offers seamless access to over 120 data providers, encompassing more than 12,000 search methods across various domains such as cyber threat intelligence, social media, dark web, cryptocurrency, and corporate data. - Customizable Transforms: Users can create custom integrations with internal repositories and develop their own APIs and Transforms, enabling tailored data analysis. - Collaboration Tools: Maltego Graph supports real-time collaboration by allowing multiple analysts to share and work on encrypted graphs simultaneously. - Automation Capabilities: The platform includes features to automate repetitive investigative processes, enhancing efficiency and consistency in investigations. Primary Value and User Solutions: Maltego Graph addresses the challenges of managing and analyzing vast amounts of dispersed data by providing a unified platform that consolidates diverse information sources. Its visual representation of data connections simplifies the detection of patterns and relationships, significantly reducing the time required for complex investigations. By automating routine tasks and offering customizable tools, Maltego Graph empowers investigators to focus on critical analysis, thereby enhancing the accuracy and depth of their findings. This makes it an invaluable asset for professionals in cybersecurity, law enforcement, and intelligence sectors who require efficient and thorough investigative capabilities.

Aerospike Graph is a high-performance, distributed graph database designed to manage and query extensive graph datasets with exceptional speed and scalability. Built upon the robust Aerospike Database, it leverages the Apache TinkerPop framework to support complex graph computations. Aerospike Graph is ideal for applications such as customer 360, identity graphs, and fraud detection, offering real-time performance even at enterprise-scale data volumes.

Graph Story provides graph databases, applications and solutions as a service.