Ratings and Reviews 0 Ratings
Ratings and Reviews 13 Ratings
Alternatives to Consider
-
Bright DataBright Data stands at the forefront of data acquisition, empowering companies to collect essential structured and unstructured data from countless websites through innovative technology. Our advanced proxy networks facilitate access to complex target sites by allowing for accurate geo-targeting. Additionally, our suite of tools is designed to circumvent challenging target sites, execute SERP-specific data gathering activities, and enhance proxy performance management and optimization. This comprehensive approach ensures that businesses can effectively harness the power of data for their strategic needs.
-
OxylabsOxylabs is a web intelligence and data collection platform that provides enterprise-grade proxy networks, web scraping infrastructure, browser automation tools, and ready-made datasets. The platform enables organizations to collect publicly available web information for market research, competitive intelligence, pricing analysis, and other data-driven business activities. Its proxy network includes more than 177 million IP addresses across 195 countries, supporting geographically distributed data access requirements. Available proxy types include residential, ISP, mobile, datacenter, and dedicated datacenter proxies for different browsing and extraction workflows. Web Unblocker uses AI-driven technology to handle access challenges presented by websites with sophisticated anti-bot protections. The Web Scraper API manages large-scale data extraction workflows, helping organizations retrieve website information without maintaining extensive custom scraping infrastructure. Agent Browser supports automated browsing and data collection from dynamic websites that require browser interaction and advanced access handling. Oxylabs AI Studio provides no-code data extraction capabilities for users who want to collect website information without developing custom scraping scripts. The platform also offers ready-made datasets containing structured information from industries such as ecommerce and real estate. Oxylabs emphasizes ethical data collection practices, compliance-focused infrastructure, and enterprise support for organizations managing web intelligence operations. The company serves more than 4,000 customers worldwide, including Fortune 500 organizations, and provides 24/7 customer assistance for its proxy and data collection services.
-
LTXLTX builds open world models, AI systems that generate, simulate, and shape video, audio, and the physical world. Lightricks created LTX so that developers, studios, and enterprises can own the model they build on, not just rent access to someone else's. The current release, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer. It renders native 4K footage at up to 50fps and produces synchronized audio and video in one pass, no separate tools required. Independent benchmarks from Artificial Analysis place LTX in the top three AI video models worldwide. There is no single way to work with LTX. Pull the open weights and run the model yourself on your own machines. Take a commercial license for on-premise deployment with full enterprise support. Or use LTX Studio, the packaged production suite for creative teams that want the model without managing the infrastructure. ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA all build on it today. If you need a quick clip for social media, look elsewhere. LTX exists for AI teams turning video, audio, and simulation into part of their own product, not a novelty.
-
SearchUnifySearchUnify is an enterprise Agentic AI platform that connects fragmented enterprise knowledge and deploys autonomous AI agents to handle customer support operations from first contact to resolution. At its core, the platform is powered by SearchUnifyFRAGâ„¢ (Federated Retrieval Augmented Generation), Agentic RAG, and the SCORE (Contextual Relevance Engine) framework, enabling accurate, grounded responses drawn from unified enterprise data. The product suite spans five core tools. Cognitive Search retrieves contextually relevant answers across distributed knowledge sources. SearchUnifyGPTâ„¢ generates cited AI responses at every support touchpoint. SUVA, the virtual assistant, handles multi-turn conversations autonomously. Knowbler supports knowledge capture, structuring, and surfacing at the point of need. Agent Helper delivers next-best-action recommendations to support agents during live case resolution. Extending these capabilities, the Agentic AI Suite comprises eight AI agents: AI Support Agent for self-service resolution, AI SupportPlus Agent for autonomous CRM ticket handling, AI Classification Agent for case tagging and routing, AI Escalation Manager for escalation risk prediction, AI Knowledge Agent for automated content creation and gap detection, AI Competency Agent for L2 technical workflow resolution, AI Agent Partner for real-time agent guidance, and AI Case Quality Auditor for evaluating every closed case. SearchUnify supports BYOLLM for LLM flexibility, Model Context Protocol (MCP) for secure system connectivity, and a governance layer covering role-based access control, PII masking, and ISO 27001, HIPAA, and SOC 2 compliance. The platform connects with 100+ enterprise tools including Salesforce, Zendesk, and ServiceNow.
-
Google AI StudioGoogle AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.
-
Adobe AcrobatAdobe Acrobat Studio is a powerful document management and AI-powered platform and one of the leading enterprise document platforms that scales for global teams — providing everything needed to create, edit, convert, share, and secure PDF files. It allows users to modify text and images directly within PDFs, rearrange pages, add comments, and compare document versions for precise change tracking. With seamless conversion capabilities, files can be transformed between PDF and formats such as Word, Excel, PowerPoint, and images in just a few clicks. Acrobat Studio's AI Assistant elevates productivity by generating summaries, extracting key insights, and answering questions with source-linked citations. PDF Spaces introduces a collaborative environment where teams can centralize project files, add notes, and interact with AI across multiple document types. The Generate Presentation feature transforms documents into polished, branded decks using Adobe Express — no design skills required. Integrated e-signature tools enable organizations to send, collect, and monitor legally binding signatures securely. Security features including password protection, redaction, and restricted editing keep sensitive information protected.
-
Checksum.aiAI coding tools have fundamentally changed how software gets built. Developers are shipping more code, faster, with less friction than ever before. But the organizations benefiting most from AI-accelerated development are running into the same wall: quality hasn't kept pace. More code means more surface area for bugs. More PRs means more review burden on senior engineers. More releases means more chances for regressions to reach customers. The bottleneck has moved from writing code to verifying it, and verification is still largely manual. Checksum is a continuous quality platform built for this reality. Its suite of AI agents autonomously generates, runs, and maintains tests across every layer of the software development lifecycle: end-to-end UI flows, API endpoint coverage, and PR-level CI validation, so engineering teams can move fast without sacrificing reliability. What sets Checksum apart: it doesn't wait for instructions. It works as a background agent, continuously monitoring your codebase, generating tests for what matters, and repairing broken tests as the product evolves. Seventy percent of test failures resolve automatically, eliminating the maintenance burden that causes most test suites to decay and get abandoned. Every test Checksum produces is real, Playwright code you own, submitted as a PR to your repository. No vendor lock-in. Teams keep full control. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents via /checksum slash commands. Testing happens before code review, not after. Generation and healing run on Checksum's cloud, consuming no LLM tokens or local resources. The bottom line: Checksum gives engineering teams the confidence to ship at the speed AI makes possible.
-
Foxit Document Workflow APIsFoxit provides a powerful portfolio of cloud-native APIs built to help organizations streamline, secure, and scale document-centric workflows. Leveraging flexible REST-based architecture, Foxit APIs enable developers to integrate document creation, conversion, extraction, signing, and viewing capabilities directly into their applications—driving greater efficiency and reducing operational complexity. The Foxit PDF Services API supports high-volume PDF processing tasks such as conversion, extraction, optimization, and redaction. The Document Generation API automates the creation of customized PDFs and DOCX files using dynamic templates and real-time data sources. The Foxit eSign API embeds compliant, legally binding eSignature workflows with advanced audit and tracking features. The PDF Embed API enables fully customizable in-app PDF viewing with support for annotations, forms, and secure access controls. Together, Foxit APIs deliver a secure, scalable foundation for end-to-end document automation and digital workflow transformation.
-
MobiPDFMobiPDF, previously known as PDF Extra, serves as a user-friendly platform for reading and editing PDFs, offering features such as creating, organizing, annotating, filling, signing, converting, and sharing any PDF file. This versatile tool stands out as a cost-effective substitute for Adobe Acrobat Pro, catering to a wide array of user needs. HERE’S WHAT YOU CAN EXPECT WITH MOBIPDF: Multiple Viewing Options: Utilize a focused "Read Mode" for an uninterrupted reading experience. Sophisticated Editing Capabilities: Engage with a PDF editing interface reminiscent of Word. Bidirectional Conversions: Effortlessly transform PDFs into and from formats like Word, Excel, PowerPoint, or images. OCR Integration: Enhance scanned documents by making them searchable. Annotation Features: Utilize tools to highlight, comment, strikethrough, stamp, and more to improve your documents. Simple PDF Management: Easily reorder, compress, split, and merge PDFs as you need. Signing and Security: Incorporate signatures, create and fill out forms, and safeguard your PDFs with passwords, encryption, and digital certificates. Offline Functionality: Continue working on your files without needing an internet connection. Instant Translation: Translate any PDF into over 50 languages with just a click. Overall, MobiPDF combines essential features and user-friendly design, making it a reliable choice for anyone needing comprehensive PDF tools.
-
AnalyticsCreatorAnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
What is TagX?
What is OORT DataHub?
Integrations Supported
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing Information
Supported Platforms
Supported Platforms
Customer Service / Support
Customer Service / Support
Training Options
Training Options
Company Facts
Organization Name
TagX
Date Founded
2020
Company Location
United Arab Emirates
Company Website
www.tagxdata.com
Company Facts
Organization Name
OORT DataHub
Company Location
United States
Company Website
www.oortech.com
Categories and Features
AI Training Data Providers
Not specified
Web Dataset Providers
Not specified
Categories and Features
AI Development
OORT offers a comprehensive ecosystem for AI development, encompassing all key components: gathering data, annotating it, storage solutions, and computing resources. Our platform guarantees that AI models benefit from top-notch, ethically sourced datasets, all of which are recorded on-chain to ensure transparency and dependability. With scalable storage options and a forthcoming computing layer, developers are equipped with the necessary tools to efficiently create, train, and implement AI models. By embedding data integrity, security, and scalability into a fluid process, OORT streamlines AI development, fostering quicker innovation with reliable data and robust infrastructure.
Not specified
AI Infrastructure
OORT delivers a comprehensive AI framework that encompasses every stage of the process, from gathering and annotating data to its storage and computational needs. Our worldwide network allows for training AI models on a variety of high-caliber datasets obtained from actual contributors, assuring credibility and minimizing bias. Each data entry is meticulously logged on a blockchain, ensuring a reliable and immutable record that fosters trust and integrity. With scalable decentralized storage solutions and a forthcoming compute layer, OORT removes the dependence on disjointed systems, enabling developers to effortlessly create, train, and implement AI—all within a cohesive, transparent, and efficient environment.
Not specified
AI Training Data Providers
OORT DataHub is an innovative platform that leverages blockchain technology to deliver high-quality training datasets for AI and machine learning applications. It facilitates a worldwide network of crowdsourced data collection and preprocessing, tapping into a diverse pool of contributors exceeding 200,000 across 136 nations. The platform specializes in gathering various types of data, including images, audio, and video, while maintaining transparency and security through blockchain-driven methods and globally distributed, encrypted storage solutions. OORT DataHub provides expert data labeling services customized for a range of AI tasks such as sentiment analysis, object detection, and classification. With its Proof-of-Honesty consensus model and human-in-the-loop quality assurance processes, the platform ensures the accuracy and reliability of its datasets. Clients benefit from a user-friendly interface that allows them to effortlessly initiate and manage projects, with datasets prepared for immediate use in AI training.
Not specified
Artificial Intelligence
OORT DataHub propels AI development by supplying developers with premium, ethically sourced datasets gathered from an extensive worldwide contributor network. Our decentralized architecture guarantees that each data point is documented on-chain, validated by humans, and respects privacy. Utilizing a transparent and trustless framework, we eradicate biases, improve traceability, and uphold data integrity throughout the entire process. With OORT, developers have the ability to train robust AI models using secure, verifiable, and varied datasets—advancing AI innovation without sacrificing trust or precision.
Not specified
Blockchain
OORT leverages blockchain technology to establish a reliable framework for trust, security, and transparency in AI data management. Each data input is documented on the blockchain, forming a permanent and verifiable record that ensures its integrity and deters any unauthorized alterations. This approach to decentralized verification removes the need for middlemen, allowing for full transparency, traceability, and verifiability throughout the entire process. By embedding blockchain into its foundation, OORT raises the bar for ethical, responsible, and trust-free management of AI data.
Not specified
Crowdsourcing
OORT DataHub harnesses the power of crowdsourcing to fuel artificial intelligence with a rich array of high-caliber data sourced from a worldwide community of contributors. By allowing individuals to engage in the processes of data gathering and annotation, we eliminate conventional obstacles associated with producing AI datasets, all while ensuring a true reflection of real-world scenarios. Each contribution is securely logged on a blockchain for credibility and transparency, supported by a reputation framework, validation mechanisms, and human supervision to uphold top-tier data standards. This open and decentralized methodology guarantees that AI systems are trained on verified, bias-minimized, and ethically obtained datasets, fostering a reliable and scalable data environment for AI advancement.
Not specified
Data Annotation
OORT DataHub specializes in precise and effective data annotation, allowing AI systems to learn from meticulously labeled, top-notch datasets. Our approach integrates human oversight with scalable technology, resulting in organized data that boosts AI capabilities. Each annotation is securely stored on the blockchain, ensuring traceability and maintaining the integrity and consistency of machine learning processes.
Not specified
Data Collection
OORT DataHub transforms the landscape of data gathering by utilizing a distributed worldwide network to collect extensive real-world information. Each submission is documented on the blockchain, providing a guarantee of authenticity, traceability, and immunity to tampering. By eliminating centralized authorities, our approach facilitates the acquisition of varied and impartial data while upholding privacy and ethical standards. Incorporating advanced fraud detection and human oversight, OORT ensures the provision of high-quality datasets that support dependable AI advancement without sacrificing integrity or security.
Not specified
Data Labeling
OORT DataHub revolutionizes the data labeling process by creating a decentralized and highly precise system that guarantees AI models are constructed using reliable and impartial data. Our platform integrates AI-driven tools with manual validation from human experts, resulting in meticulously annotated datasets that adhere to the strictest quality benchmarks. Each labeled data point is securely logged on-chain, ensuring complete traceability and safeguarding against any form of alteration. This method not only boosts the dependability of training data but also promotes ethical sourcing, positioning OORT as a reliable cornerstone for advancements in machine learning.
Not specified
RLHF
Not specified
Web Dataset Providers
Not specified