4.4 out of 5 stars
(182 Ratings)
LTX is an open foundation model for video, audio, and world simulation. You get full control over your AI: run LTX locally on your own hardware, fine tune it on your own IP, and generate video and audio as one unified output instead of stitching together separate tools.
The latest model, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer that generates native 4K video at up to 50fps, with synchronized audio and video produced in a single pass. Weights, code, and research are fully open, and independent benchmarking from Artificial Analysis ranks LTX among the top 3 AI video models globally.
Access LTX three ways: download the open weights and run it yourself, license the model for on-premise deployment with enterprise support, or build on LTX Studio, the production suite for creative teams and studios. Teams at ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already build on LTX.
LTX is production infrastructure for AI teams generating motion and physical environments inside their own pipelines, not a consumer app for one-off clips.
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4.4 out of 5 stars
(525 Ratings)
FormAssembly is an enterprise data collection and automation platform that enables organizations to capture clean, compliant data from the start.
With the latest edition of the platform, FormAssembly Atlas, and its built-in AI assistant, Fai, forms and workflows build themselves, connect to Salesforce and other systems in just a few clicks, and ensure every record is structured, secure, and ready for automation or AI. In short, FormAssembly is designed to eliminate the manual work of form building and data cleanup.
Collect, connect, and control AI-ready data faster than ever before. FormAssembly Atlas redefines enterprise data collection and automation. With your built-in AI assistant, Fai, you can instantly create branded, compliant forms, automate complex workflows, and connect clean, structured data across your entire tech stack.
Ready to give FormAssembly a try?
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WorldClaw
WorldClaw is a fully agentic, coarse-to-fine framework for generating large-scale, freely explorable, and editable 3D open worlds from open-ended text prompts. Rather than synthesizing an entire world in a single pass, it follows a global-to-regional construction strategy that maintains coherent spatial organization while adding rich local detail. Planning agents first translate a prompt into a structured scene specification covering regions, terrain, assets, materials, visual style, and spatial relationships. It builds a globally coherent terrain foundation using semantic layouts, reusable assets, generative or procedural materials, and region-aware height fields. For regions requiring greater detail, WorldClaw creates terrain-conditioned compositions, reconstructs editable textured meshes, and recovers their placement within the scene. Render-based agents further refine terrain geometry, objects, appearance, arrangements, and contacts with the environment.
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