Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models, including Gemini 3.5. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows.
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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-2.3, 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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PolyWorks|Modeler
PolyWorks|Modeler™ is a comprehensive reverse-engineering software solution that allows extracting optimal CAD entities, curves, surfaces, parametric sketches, and prismatic features, from polygonal models of digitized parts to serve as the starting point in your professional CAD modeling solution. The first step in a reverse-engineering workflow consists in transforming digitized point clouds into surface-based polygonal models, also called meshes. Polygonal models are more compact, more accurate, and less noisy than raw point clouds and are directly handled by industrial applications such as milling, 3D printing, and aerodynamic simulation. Adopt effective scanning methods that ensure quality and precision with real-time quality meshing technology. Fill holes, smooth and rebuild surfaces, clean boundaries, recover sharp edges, make surfaces watertight, and more. Extrude boundaries, offset surfaces, reconstruct fillets, perform Boolean operations with CAD models, and more.
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