MicroStation is the trusted CAD software that empowers infrastructure professionals to design, manage, and deliver projects with precision and efficiency. Its power, flexibility, AI automation, and 3D geospatial context enable innovative designs and creative visualizations. Communicate design changes and unite critical project elements in a single environment, ensuring effective and secure project deliverables. MicroStation scales for any infrastructure project, whether it lasts days, months, or years. MicroStation is the foundation for the entire Bentley modeling environment including digital twins.
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SuperOps is the AI-native unified platform for modern MSPs and internal IT teams. It replaces the typical four-to-six-tool IT operations stack - PSA, RMM, helpdesk, MDM, asset tracking, network monitoring, patch management and IT documentation - with a single, built-as-one platform on a shared data layer. That architectural choice is what makes the rest of the platform work, particularly its agentic AI. Monica AI, SuperOps' intelligence layer, was designed alongside the platform from day one. It triages tickets, surfaces patch and CVE risks, drafts worklogs, suggests knowledge base articles, and increasingly handles fully autonomous workflows for routine work. SuperOps supports Windows, macOS, Linux, iOS, iPadOS and Android, integrates with the IT and MSP ecosystem (Slack, Teams, Azure AD, Okta, QuickBooks, Xero, Bitdefender, SentinelOne and more), and bundles Splashtop and ISL Online remote access free. Transparent pricing, fast deployment, founder-led product investment.
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Splat Labs
Splat Labs is a cutting-edge cloud platform designed for 3D reality capture, enabling users to swiftly capture, host, and share immersive digital twins using Gaussian Splat technology. This platform allows for the visualization of photorealistic 3D environments across all devices, eliminating the need for additional software, plugins, or downloads. Utilizing Gaussian Splatting, it renders visuals as countless tiny 3D Gaussian blobs that possess distinct positions, colors, and opacities, ensuring a lifelike experience that can achieve over 90 frames per second in a web browser. Splat Labs seamlessly integrates with various existing capture methods, such as LiDAR, photogrammetry, and drones, along with tools like Postshot, Polycam, XGRIDS, DJI, Luma AI, Kiri Engine, and PortalCam. The platform transforms raw splat files into interactive digital twins accessible to your entire team, allowing for a simple upload and instant sharing via a single link. Users can not only measure distances and areas within the 3D environment but also generate AI-driven floor plans, enhance spaces with virtual staging, and analyze changes over time through 4D timelines, offering a comprehensive toolkit for spatial analysis and design. This makes Splat Labs an invaluable resource for teams looking to innovate in the realm of 3D visualization and collaboration.
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spAItial
SpAItial is an innovative AI platform dedicated to the creation and implementation of Spatial Foundation Models (SFMs), a groundbreaking category of generative AI systems that excel in generating and interpreting 3D environments while maintaining physical realism and spatial intelligence. Unlike conventional models that independently generate images or text, SpAItial's advanced technology works directly with 3D structures from the beginning, effectively capturing aspects such as geometry, materials, lighting, and physics to create immersive and interactive worlds. Its premier model, Echo-2, possesses the remarkable ability to convert a single image into a fully navigable, photorealistic 3D scene using cutting-edge techniques like Gaussian splatting, which allows users to explore and render environments in real time. This platform is designed with a robust, physically grounded comprehension of space-time, enabling the AI to analyze how objects are situated, interact, and develop within a given environment, eschewing the disjointed outputs typical of traditional generative AI. This innovative methodology not only mitigates the inconsistencies often found in standard generative AI systems but also facilitates a more precise and realistic simulation of environments, paving the way for exciting new applications in virtual reality and beyond.
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