
Adaptive Security was founded in 2024 by seasoned entrepreneurs Brian Long and Andrew Jones. Since inception, the company has raised over $50 million from top-tier investors including OpenAI, Andreessen Horowitz, and executives from Google Cloud, Fidelity, Plaid, Shopify, and other industry leaders.
Adaptive defends organizations against sophisticated, AI-driven cyber threats such as deepfakes, vishing, smishing, and spear phishing. Its next-generation security awareness training and AI phishing simulation platform enables security teams to deliver ultra-personalized training that adapts to each employee’s role, access level, and exposure. This training leverages real-time open-source intelligence (OSINT) and features highly convincing deepfake content—including synthetic media of a company’s own executives—to mirror real-world attack vectors.
Through AI-powered simulations, customers can continuously assess and improve organizational resilience. Hyper-realistic phishing tests across voice, SMS, email, and video channels evaluate risk across every major vector. These simulations are fueled by Adaptive’s AI OSINT engine, giving teams deep visibility into how attackers might exploit their digital footprint.
Today, Adaptive serves global leaders like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. With an industry-leading Net Promoter Score of 94, Adaptive is redefining excellence in cybersecurity.
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IONOS provides GPU Servers that create a powerful computing environment tailored for handling tasks requiring much greater power than conventional CPU systems can offer. This setup includes high-quality NVIDIA GPUs, such as the H100, H200, and L40s, alongside dedicated AI accelerators like Intel Gaudi, which support extensive parallel processing for resource-intensive applications. With GPU-accelerated instances, the cloud infrastructure is further improved by integrating dedicated graphical processors, allowing virtual machines to perform complex calculations and manage data-heavy operations considerably more swiftly than standard servers. This solution is particularly advantageous in sectors like artificial intelligence, deep learning, and data science, where it is crucial to train models on large datasets or conduct fast inference processes. Additionally, it supports big data analytics, scientific simulations, and visualization tasks requiring significant computational strength, such as 3D rendering and modeling. Consequently, organizations aiming to enhance their processing power for intricate workloads can reap substantial benefits from this sophisticated infrastructure, making it an ideal choice for modern computational demands. Moreover, the flexibility of this service allows businesses to scale their resources according to project requirements, ensuring efficient performance across various applications.
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NVIDIA Jetson
NVIDIA's Jetson platform emerges as a leading embedded AI computing solution, utilized by experienced developers to develop groundbreaking AI products across various industries, while also acting as an invaluable resource for students and enthusiasts eager to dive into hands-on AI projects and imaginative pursuits. This adaptable platform boasts compact and energy-efficient production modules and developer kits that come equipped with a powerful AI software stack, facilitating effective high-performance acceleration. These features enable the execution of generative AI at the edge, thus improving applications such as NVIDIA Metropolis and the Isaac platform. The Jetson family includes an array of modules tailored to meet different performance and power efficiency demands, featuring models such as the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is thoughtfully designed to fulfill specific AI computing requirements, catering to a broad range of projects that span from beginner initiatives to intricate robotics and industrial uses, thereby encouraging innovation and growth in the AI domain. By providing such a wide range of resources and tools, the Jetson platform inspires creators to explore and expand the possibilities within AI technology, ultimately shaping the future of intelligent solutions.
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NVIDIA Isaac Lab
NVIDIA Isaac Lab serves as an open-source framework for robotic learning, leveraging GPU acceleration and grounded in Isaac Sim to enhance and unify multiple aspects of robotics research, including reinforcement learning, imitation learning, and motion planning. It takes advantage of highly accurate sensor and physics simulations to effectively train embodied agents and provides a diverse array of pre-configured environments featuring manipulators, quadrupeds, and humanoids, while also supporting over 30 benchmark tasks and facilitating smooth integration with prominent RL libraries such as RL Games, Stable Baselines, RSL RL, and SKRL. The modular, configuration-driven design of Isaac Lab empowers developers to easily create, modify, and expand their learning environments, alongside the capability to capture demonstrations using devices like gamepads and keyboards, as well as allowing for the incorporation of custom actuator models to enhance the sim-to-real transfer processes. Additionally, the framework is adept at functioning in both local and cloud settings, providing the flexibility to scale compute resources to meet varying demands efficiently. This multifaceted approach not only boosts productivity in robotics research but also paves the way for groundbreaking innovations in a variety of robotic applications, ultimately fostering a dynamic environment for experimentation and advancement.
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