Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
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Google AI Studio is an all-in-one environment designed for building AI-first applications with Google’s latest models. It supports Gemini, Imagen, Veo, and Gemma, allowing developers to experiment across multiple modalities in one place. The platform emphasizes vibe coding, enabling users to describe what they want and let AI handle the technical heavy lifting. Developers can generate complete, production-ready apps using natural language instructions. One-click deployment makes it easy to move from prototype to live application. Google AI Studio includes a centralized dashboard for API keys, billing, and usage tracking. Detailed logs and rate-limit insights help teams operate efficiently. SDK support for Python, Node.js, and REST APIs ensures flexibility. Quickstart guides reduce onboarding time to minutes. Overall, Google AI Studio blends experimentation, vibe coding, and scalable production into a single workflow.
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RealityCapture
RealityCapture is a versatile and comprehensive photogrammetry software that enables users to effortlessly create virtual reality scenes, textured 3D models, orthographic projections, and other outputs from images or laser scans. As a cutting-edge solution in the field of photogrammetry, it is revolutionizing the industry with its speed and efficiency, allowing professionals to concentrate on their objectives. This software can automatically produce a variety of outputs, including geo-referenced maps, enhancing the workflow of users. For architects, the ability to visualize their designs within the context of their surroundings is crucial, as it facilitates not only appealing presentations but also the verification of spatial relationships in a realistic environment. By providing clients with immediate insights into the results, it enhances communication and understanding of the project's potential impact. Ultimately, RealityCapture stands out by combining advanced technology with user-friendly features to streamline the design and presentation process.
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ContextCapture
Transform simple photographs and point clouds into intricate 3D models. The process of reality modeling involves capturing the physical attributes of an infrastructure asset, developing a detailed representation, and ensuring its upkeep through ongoing surveys. Bentley's ContextCapture is a powerful reality modeling software that offers a comprehensive digital representation of the real world by producing a 3D reality mesh. This 3D reality mesh comprises numerous triangles and image data, forming a detailed model of actual conditions. Each element within this digital framework can be automatically identified and geospatially linked, allowing for an engaging and intuitive experience when navigating, locating, viewing, and querying asset information. Reality meshes find versatile applications across various engineering, maintenance, and GIS processes, offering essential real-world context to inform decisions related to design, construction, and operations. This technology often utilizes overlapping aerial photographs captured by drones, alongside ground-level images and, when necessary, enhanced with laser scans for accuracy. As such, the integration of these methods ensures a thorough and reliable digital representation of the physical environment.
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