Bright Data
Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions.
With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists.
What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.
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Viktor
Viktor is an AI-powered coworker built to live natively inside Slack and handle complex tasks autonomously. Equipped with its own cloud computer, Viktor can write and execute code, build and deploy applications, analyze metrics, and manage workflows across more than 3,000 integrated tools. It proactively monitors systems, flags issues, and suggests actionable next steps instead of simply responding to prompts. Teams can request reports, create tickets, audit marketing campaigns, or retrieve analytics directly within Slack conversations. Viktor maintains persistent context over long-running projects, coordinating tasks and deadlines across multiple weeks. It connects seamlessly to platforms like Linear, PostHog, Google Ads, and other business tools to automate cross-functional operations. The agent drafts artifacts such as documents, issues, and updates for approval before execution. With both free and enterprise plans, Viktor scales to match team workload and automation needs. Security and workspace controls ensure safe collaboration within organizational environments. By combining autonomy, integrations, and persistent context, Viktor acts as a highly capable digital teammate embedded in daily workflows.
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Glimpse
Glimpse is an innovative platform powered by artificial intelligence, designed exclusively for consumer packaged goods (CPG) brands to streamline and automate essential back-office retail functions, including deductions management, revenue recovery, and cash application. By integrating both structured and unstructured data from various sources like retailer portals, emails, PDFs, and ERP systems, it creates a centralized hub that serves as a single source of truth for financial operations. Utilizing this cohesive layer, Glimpse employs intelligent AI agents that have been trained on extensive CPG transaction data to autonomously retrieve, categorize, and verify deductions, as well as pinpoint underlying issues and contest unwarranted claims across all retail partners. This platform not only revolutionizes the typical perception of these tasks as mere business expenses but also converts them into a vital revenue recovery stream by methodically reclaiming lost funds while enhancing trade transparency. Furthermore, it streamlines cash application processes by effectively matching incoming payments to their corresponding invoices, managing intricate remittances, and ensuring the accuracy of accounts receivable, thus optimizing overall financial efficiency. Ultimately, Glimpse empowers CPG brands to focus on growth while it handles the complexities of back-office operations.
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Extend
Extend provides an end-to-end document processing toolkit built for teams that need fast, reliable, and highly accurate results across their most complex use cases. Its state-of-the-art vision models break down challenging documents into clean, LLM-ready outputs, structured data, or user-facing results in seconds. Extend’s intelligent agent system continuously learns from new files, self-improves extraction schemas, and eliminates long-tail edge cases that typically slow development. Developers can leverage a suite of APIs for parsing, extraction, classification, and splitting, or embed intuitive in-product flows for seamless user experiences. With confidence scoring, HITL review, and automated validations, Extend ensures high-quality output even for critical workflows. The platform’s integrated evaluation suite gives teams the visibility needed to measure accuracy and reliability before going to production. Extend dramatically reduces implementation time, infrastructure overhead, and data cleanup work. With enterprise-level accuracy and continuous learning, Extend makes document automation faster, smarter, and significantly more scalable.
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