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SquareX helps organizations detect, mitigate and threat-hunt client-side web attacks happening against their users in real time. SquareX's industry-first Browser Detection and Response (BDR) solution, takes an attack-focused approach to browser security, ensuring enterprise users are protected against advanced threats like malicious QR Codes, Browser-in-the-Browser phishing, macro-based malware and other web attacks encompassing malicious files, websites, scripts, and compromised networks. With SquareX, enterprises can provide contractors and remote workers with secure access to internal applications, enterprise SaaS, and convert the browsers on BYOD / unmanaged devices into trusted browsing sessions.

RaptorX.ai is a fraud prevention platform that utilizes machine learning and data analysis to safeguard businesses against transaction and identity fraud. It offers tailored solutions for user profiling, continuous identity verification, and vigilant fraud detection to enhance operational trust and safety. The platform simplifies processes and reduces costs while providing comprehensive protection against evolving threats.

SelectDB is a cloud-native real-time data warehouse that serves as an easy-to-use, high-performance, and unified analytical database. SelectDB's features include user management and access control, data protection and recovery, and data governance for data democratization. SelectDB supports real-time, interactive, and batch data processing, as well as structured and semi-structured data types and federated querying with datalakes and databases.

Looppanel is a technology company that provides an online platform designed to enhance the process of analyzing user interviews conducted via Zoom. Its platform offers features such as transcripts, shareable video clips, and live note-taking, facilitating collaboration among product, engineering, and design teams. By enabling users to quickly extract and share insights from interviews, Looppanel helps teams identify patterns in user feedback and align on key findings. This streamlined approach allows product teams to make informed decisions efficiently, ultimately improving the quality of their business outcomes.

Yanhuang Data is a developer of a real-time analysis platform designed to process heterogeneous big data, including structured, semi-structured, and unstructured data. The Yanhuang Data Platform offers a comprehensive suite of services, such as data collection, import, indexing, searching, data display, and task alerts. These capabilities enable users to quickly identify issues within vast datasets and devise effective solutions, facilitating digital transformation in the modern information age. The company serves a diverse range of sectors, including finance, banking, healthcare, transportation, information security, IT operations, smart city initiatives, and the Internet of Things.

Vland is a social interactive cloud platform that provides real-time audio, game, and video technology to create virtual space as a service.

RabbitX is a decentralized finance platform that simplifies investment opportunities by offering access to a variety of asset classes including global stocks, foreign exchange, commodities, and digital assets without charging commissions. Utilizing advanced Zero-Knowledge decentralized scaling technology, RabbitX facilitates interest rate swaps through decentralized exchanges, allowing users to engage in trading, speculation, and risk hedging related to interest rates in the cryptocurrency market. The company is supported by notable investors, including Sequoia and Fabric Ventures, positioning it at the forefront of modernizing finance in the digital age.

TDengine is a time-series database focused on addressing the challenges posed by Industry 4.0 and the Industrial Internet of Things (IoT). The company specializes in real-time ingestion, storage, analysis, and distribution of vast amounts of data generated by numerous sensors and data collectors, handling petabytes of information daily. By making big data accessible and cost-effective, TDengine empowers a diverse range of users, from independent developers and startups to large enterprises, to harness the full potential of their data. The company's mission is to democratize industrial data systems, facilitating a shift from outdated data infrastructures to more integrated and shareable solutions. This transformation aims to enhance data centralization and accessibility, enabling industries to leverage advanced technologies like artificial intelligence, thus fostering innovation within the sector.

TDengine is a time-series database focused on addressing the challenges posed by Industry 4.0 and the Industrial Internet of Things (IoT). The company specializes in real-time ingestion, storage, analysis, and distribution of vast amounts of data generated by numerous sensors and data collectors, handling petabytes of information daily. By making big data accessible and cost-effective, TDengine empowers a diverse range of users, from independent developers and startups to large enterprises, to harness the full potential of their data. The company's mission is to democratize industrial data systems, facilitating a shift from outdated data infrastructures to more integrated and shareable solutions. This transformation aims to enhance data centralization and accessibility, enabling industries to leverage advanced technologies like artificial intelligence, thus fostering innovation within the sector.

StreamNative is a company that develops a cloud-native event streaming platform based on Apache Pulsar, designed to facilitate real-time access to enterprise data. This platform allows organizations to manage high volumes of data as continuous streams, providing a unified view that integrates both historical and real-time information. By leveraging the architectural strengths of Apache Pulsar, StreamNative enables various industries, including gaming, financial services, and IoT, to transition from isolated legacy systems to a cohesive event streaming environment. The company was founded by a team of experienced contributors and committers from the Apache Pulsar community, who have extensive expertise in implementing scalable event streaming solutions. Headquartered in San Francisco, StreamNative also has offices in Beijing, Shanghai, and Shenzhen, China, extending its reach to a global clientele.

QuickRide is a ride-sharing application founded in 2014 and headquartered in Bangalore, India. The platform connects commuters traveling in the same direction in real time, allowing users to invite others to join their ride or accept invitations from fellow users. QuickRide's mobile application uses an algorithm to match riders and passengers based on their pickup and drop-off locations, enhancing the efficiency of daily commutes. The app offers features such as real-time location tracking, a live map for status updates, and a group chat option for seamless coordination among participants. Additionally, QuickRide facilitates cashless transactions and allows users to manage payments through a points system with fixed per-kilometer charges. By providing these services, QuickRide aims to reduce commuting costs, alleviate traffic congestion, and contribute to decreased air pollution.

Taykey is a technology company specializing in real-time advertising solutions for Fortune 500 brands. It mines data from thousands of online sources to identify trends specific to target audiences, automating the media buying process. This enables brands like American Express and Volkswagen to create more relevant ads and improve marketing strategies by leveraging real-time insights into consumer sentiment and trending conversations.

Octro Inc., established in 2006, is a mobile gaming company headquartered in Cupertino, California with an engineering office in Delhi NCR, India. The company designs and develops games for various mobile platforms, with a focus on creating leisure options for users worldwide. Octro's portfolio includes popular titles like Teen Patti and Indian Rummy, which are cross-platform games playable on iOS, Android, and Windows devices, supporting real-time multiplayer gaming.

Taykey is a technology company specializing in real-time advertising solutions for Fortune 500 brands. It mines data from thousands of online sources to identify trends specific to target audiences, automating the media buying process. This enables brands like American Express and Volkswagen to create more relevant ads and improve marketing strategies by leveraging real-time insights into consumer sentiment and trending conversations.

Taykey is a technology company specializing in real-time advertising solutions for Fortune 500 brands. It mines data from thousands of online sources to identify trends specific to target audiences, automating the media buying process. This enables brands like American Express and Volkswagen to create more relevant ads and improve marketing strategies by leveraging real-time insights into consumer sentiment and trending conversations.

Taykey is a technology company specializing in real-time advertising solutions for Fortune 500 brands. It mines data from thousands of online sources to identify trends specific to target audiences, automating the media buying process. This enables brands like American Express and Volkswagen to create more relevant ads and improve marketing strategies by leveraging real-time insights into consumer sentiment and trending conversations.

Relevance AI is a company that specializes in developing a vector platform designed to transform unstructured data into actionable insights and build end-to-end large language model applications. The company's platform leverages artificial intelligence vectors to reveal the semantics of qualitative data with minimal labeling or training, making it accessible and affordable for companies of any size. Relevance AI offers two main products: AI Tools, which facilitate seamless integration into workflows for automating repetitive tasks, and AI Agents, which streamline complete workflows in areas such as marketing, sales, and research. The company aims to empower teams by enabling businesses to automate intricate reasoning tasks without the need for a team of expert AI engineers, thereby ensuring that limitations are driven by ideas rather than organizational size.