HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
Learn more
Jobma is an intelligent AI video interviewing platform trusted by companies globally. It offers a range of hiring automation tools, including asynchronous one-way video interviewing, live video interviewing, interview scheduling, assessment solutions, and more.
The platform is built with ethical AI at its core, with features like AI scoring and proctoring designed to prevent unconscious bias in hiring and save hundreds of hours in hiring time. Customer support stays human and is available via live chat, email, and phone, for both employers and candidates.
Jobma is SOC 2 Type II and ISO/IEC 27001 certified, and fully compliant with GDPR and CCPA, ensuring your data is secure, private, and protected at every step. Used by 3,000+ customers in over 50 countries and available in 16+ languages.
Learn more
Dataford
Dataford is a digital platform aimed at helping job seekers prepare for interviews across various technology fields such as software engineering, data analytics, and product management. Once users select their target role and company, they receive a customized study plan that encompasses interview guides, real interview questions, and insights shared by past candidates. The platform also includes timed mock interviews assessed by AI, which provide constructive feedback on responses, alongside practice sessions for SQL and Python, structured learning modules, quizzes, and informative webinars. These resources empower candidates by familiarizing them with different interview formats, enhancing their pertinent skills, and enabling them to rehearse their responses in advance. Serving over 50 technology roles, Dataford offers free access to basic questions and practice materials while providing subscription options for users who desire more advanced features. Additionally, the platform not only functions as a thorough interview preparation tool but also significantly boosts confidence for candidates navigating the competitive job market, ultimately increasing their chances of landing their desired positions. By fostering a comprehensive understanding of the interview process, Dataford equips users to approach their job applications with greater assurance and preparedness.
Learn more
DevInterviewMaster
DevInterviewMaster is an online resource specifically designed to help software developers and students effectively prepare for technical interviews. It brings together a variety of materials, including detailed guides and practical exercises across topics such as data structures, algorithms, coding, and system design at both high and low levels, as well as design patterns. Users can easily access free interview preparation guides without registering for an account, and they can explore interactive learning content that includes animated explanations, quizzes, and notes presented in Hinglish. The platform also features an AI-powered tutor to support learners throughout their interview prep journey. The educational materials cover vital subjects such as system design, coding challenges, and engineering principles, enabling candidates to concentrate on key areas and strengthen their grasp of concepts essential for software development interviews. Moreover, the platform is dedicated to fostering a nurturing learning atmosphere, which encourages users to engage more deeply with the content and improve their preparedness for upcoming technical evaluations while also offering a community of like-minded individuals for shared learning experiences.
Learn more
