Alternatives to Atlas by World Labs

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.

WorldClaw represents a comprehensive framework that facilitates the generation of expansive, freely navigable, and modifiable 3D open worlds, all derived from open-ended text prompts. Instead of constructing an entire world in one go, it employs a strategy that transitions from a broad overview to detailed regional features, ensuring spatial coherence while enriching local attributes. Initially, planning agents convert the text prompt into a structured scene specification that includes regions, terrain, assets, materials, visual aesthetics, and spatial arrangements. It establishes a globally consistent terrain base by utilizing semantic layouts, reusable assets, generative or procedural materials, and height fields that are sensitive to regional context. For areas that demand more intricate detail, WorldClaw generates terrain-conditioned compositions, reconstructs editable textured meshes, and appropriately places them within the scene. Subsequently, render-based agents enhance the terrain geometry, fine-tune object appearances, optimize arrangements, and ensure proper interactions with the surrounding environment. This multi-layered approach allows for both the creation of vast landscapes and the intricate detailing needed for immersive exploration.

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.

GWM-1 is Runway’s first family of General World Models created to interact dynamically with simulated reality. Built on Gen-4.5, the model produces real-time, action-conditioned video rather than static imagery alone. GWM-1 allows users to control environments through camera motion, robotics commands, events, and speech inputs. It generates coherent visual scenes that persist across movement and time. The model supports synchronized video, image, and audio generation for immersive simulation. GWM-1 is designed to learn from interaction and trial-and-error rather than passive data consumption. It enables realistic exploration of both physical and imagined worlds. Runway positions GWM-1 as foundational technology for robotics, training, and creative systems. The model scales across multiple domains without manual environment design. GWM-1 marks a shift toward experiential AI systems.

HunyuanWorld-1.0 is an open-source AI framework and generative model created by Tencent Hunyuan, designed to generate immersive, interactive 3D environments from text inputs or images by merging the advantages of both 2D and 3D generation methods into a single cohesive process. Central to the framework is a semantically layered 3D mesh representation that utilizes 360° panoramic world proxies to break down and rebuild scenes with geometric fidelity and semantic understanding, allowing for the generation of varied and coherent spaces that users can navigate and engage with. In contrast to conventional 3D generation techniques that often face challenges related to limited diversity or ineffective data representations, HunyuanWorld-1.0 adeptly combines panoramic proxy creation, hierarchical 3D reconstruction, and semantic layering to achieve a synthesis of high visual quality and structural soundness, while also providing exportable meshes that fit seamlessly into standard graphics workflows. This innovative approach not only enhances the realism of generated environments but also opens new possibilities for creative applications in various industries.

Starchild-1 represents a groundbreaking advancement in real-time multimodal world modeling, designed to simultaneously replicate both visual and auditory experiences. In contrast to traditional language models that derive knowledge solely from text, world models like Starchild-1 learn from the actual environment through the analysis of pixels, movements, and actions captured in extensive video data, thereby gaining the ability to comprehend and simulate the evolving nature of the world. This innovative model surpasses previous world models, which typically concentrated only on visual output, by autoregressively generating coordinated audio and video in response to real-time user interactions. Rather than generating a static video segment, it forecasts the forthcoming audio and visual states of a scenario, influenced by historical data and real-time inputs, facilitating a dynamic interplay of environments, dialogues, background sounds, and world interactions. Users can actively contribute text, speech, and actions to the model as it operates, resulting in a continuously shifting auditory and visual landscape. This level of interactivity allows for a rich and immersive experience, reshaping how users engage with simulated environments.

Odyssey-2 represents a cutting-edge interactive video technology that allows for immediate and real-time video generation that users can engage with. Simply enter a prompt, and the system promptly starts streaming several minutes of video that reacts to your input. This innovation transforms video from a traditional playback experience into a responsive, action-sensitive stream: the model operates in a causal and autoregressive manner, crafting each frame based on previous frames and your actions instead of adhering to a set timeline, which enables a seamless adaptation of camera perspectives, environments, characters, and narratives. The platform efficiently begins video streaming nearly instantaneously, generating new frames approximately every 50 milliseconds (around 20 frames per second), ensuring that you don’t have to wait long for content but instead immerse yourself in an evolving narrative. Beneath its surface, the model employs an advanced multi-stage training process that shifts from generating fixed clips to creating open-ended interactive video experiences, granting you the ability to type or voice commands while exploring a world crafted by AI that responds in real-time. This innovative approach not only enhances engagement but also revolutionizes the way viewers interact with visual storytelling.

Marble is an innovative AI model currently undergoing internal testing at World Labs, serving as a variation and enhancement of their Large World Model technology. This web-based service transforms a single two-dimensional image into an immersive and navigable spatial environment. Marble provides two modes of generation: a smaller, quicker model ideal for rough previews that allows for rapid iterations, and a larger, high-fidelity model that, while taking about ten minutes to produce, results in a far more realistic and detailed output. The core value of Marble lies in its ability to instantly create photogrammetry-like environments from just one image, eliminating the need for extensive capture equipment, and enabling users to turn a singular photo into an interactive space suitable for memory documentation, mood board creation, architectural visualization previews, or various creative explorations. As such, Marble opens up new avenues for users looking to engage with their visual content in a more dynamic and interactive way.

Real Horizons' Spatial Studio stands out as the leading platform for spatial visualization, designed to convert unrefined footage into engaging 3D experiences using advanced techniques like Gaussian Splatting, 360° panoramas, and Google 3D Maps. This innovative tool simplifies intricate 3D production into a seamless publishing process, integrating capture, generation, authoring, and real estate-ready presentations all within a single framework. The Unified Spatial Engine seamlessly merges Google 3D Maps, 360° panoramas, and Gaussian Splats into a cohesive narrative, enabling users to transition effortlessly from a broader neighborhood overview to intricate room details using the same set of tools. With Cloud Splat Generation, users can transform raw video, images, or photogrammetry into optimized splats in the cloud, equipped with quality presets, LOD management, and alignment suitable for publishing. Moreover, the Interactive Storytelling feature empowers users to embed annotations, calls to action, hotspots, fly-throughs, floor plans, and unit selectors directly within the scene, directing viewer focus and customizing tours for various marketing campaigns. This comprehensive approach not only enhances user engagement but also streamlines the entire visualization process, making it more intuitive and effective for diverse applications.

Genie 3 represents DeepMind's innovative leap in general-purpose world modeling, capable of real-time generation of immersive 3D environments at 720p resolution and 24 frames per second, maintaining consistency for several minutes. When provided with textual prompts, this advanced system fabricates interactive virtual landscapes that allow users and embodied agents to explore and engage with natural occurrences from various viewpoints, including first-person and isometric perspectives. One of its remarkable capabilities is the emergent long-horizon visual memory, which ensures that environmental details remain consistent even over lengthy interactions, retaining off-screen elements and spatial coherence when revisited. Additionally, Genie 3 features “promptable world events,” granting users the ability to dynamically alter scenes, such as modifying weather conditions or adding new objects as desired. Tailored for research involving embodied agents, Genie 3 works in harmony with systems like SIMA, enhancing navigation based on specific goals and enabling the execution of intricate tasks. This level of interactivity and adaptability marks a significant advancement in how virtual environments can be experienced and manipulated.

NVIDIA Cosmos serves as a cutting-edge platform tailored for developers, featuring advanced generative World Foundation Models (WFMs), sophisticated video tokenizers, safety protocols, and a streamlined data processing and curation system aimed at enhancing the development of physical AI. This platform empowers developers who are focused on areas such as autonomous vehicles, robotics, and video analytics AI agents to create highly realistic, physics-informed synthetic video data, leveraging an extensive dataset that encompasses 20 million hours of both actual and simulated footage, facilitating the rapid simulation of future scenarios, the training of world models, and the customization of specific behaviors. The platform comprises three primary types of WFMs: Cosmos Predict, which can produce up to 30 seconds of continuous video from various input modalities; Cosmos Transfer, which modifies simulations to work across different environments and lighting conditions for improved domain augmentation; and Cosmos Reason, a vision-language model that implements structured reasoning to analyze spatial-temporal information for effective planning and decision-making. With these capabilities, NVIDIA Cosmos significantly accelerates the innovation cycle in physical AI applications, fostering breakthroughs across various industries.

Orbis presents Atlas, an innovative cloud-based solution for managing land records, aimed at enhancing the storage, retrieval, and evaluation of essential investment documents. By integrating property records and spatial information into a secure digital repository, it enables users to efficiently search, modify, and analyze their documents. This platform is particularly beneficial for land managers, legal professionals, and asset managers tasked with conducting thorough due diligence, addressing inconsistencies, and optimizing the value of their assets. Atlas significantly reduces the reliance on manual record-keeping by offering remote access to up-to-date information accessible from any device connected to the internet, which in turn fosters improved collaboration among teams and minimizes the likelihood of errors. Furthermore, the software guarantees that all legal and spatial data remains current, effectively preventing data loss by removing the dependence on physical storage solutions. With its intuitive interface and user-friendly search capabilities, Atlas not only streamlines land administration processes but also enhances overall operational efficiency, making it an indispensable tool for modern land management. The comprehensive features of Atlas ensure that users can adapt swiftly to changing market conditions and regulatory requirements.

Happy Oyster is a dynamic AI platform that serves as a world model, enabling users to create, investigate, and continually refine immersive 3D environments using straightforward prompts. Rather than generating a static result, it functions as a responsive ecosystem that adapts in real time to user interactions, allowing for updates to scenes based on commands delivered through text, voice, or visual inputs. The platform promotes multimodal engagement and upholds consistent physical principles such as lighting, gravity, and motion, ensuring that the environments act like coherent, enduring worlds instead of fragmented scenes. It features two primary modes: Directing, where users have the power to steer scenes, modify camera perspectives, control characters, and influence unfolding narratives; and Wandering, which allows users to delve into an infinitely expansive world from a first-person viewpoint, freely navigating beyond the initial frames. This dual functionality enhances user experience by providing both creative control and exploratory freedom.

The SenseMARS software platform stands as a vital technological foundation for the Metaverse, enabling the creation of innovative life experiences. This platform boasts essential features such as perception intelligence, decision-making capabilities, and AI-driven content generation, which encompasses augmented reality (AR), mixed reality (MR), and software agents, supported by a robust cloud infrastructure for various Metaverse applications. With the SenseMARS Reconstruction tool, users can easily create precise 3D models of real-world environments using everyday devices like smartphones, action cameras, and drones. Additionally, it facilitates centimeter-level spatial mapping and localization, allowing for the seamless overlay of visual content onto the physical world through devices like AR glasses, smartphones, and smart TVs. An Avatar serves as a user’s digital persona within the Metaverse, and with the help of SenseMARS Avatar, personalized and dynamic avatars can be automatically crafted from pictures, enhancing the immersive experience. This integration of technology and user identity ultimately fosters deeper connections in virtual environments.

Odyssey-3 represents an advanced foundational world model and dynamic system that forecasts the movement and interaction of objects across space while tracking the evolution of various situations over time. Utilizing an autoregressive diffusion transformer, it captures representations related to physics, dynamics, and the principles of cause-and-effect from an extensive collection of visual data, enabling it to simulate environments effectively and develop strategies for managing physical systems. Additionally, Odyssey-3 is capable of creating immersive environments based on user prompts and can instantly predict how these environments shift in response to actions taken by individuals or agents, featuring both first-person and third-person navigation along with flexible camera controls. The extensive world knowledge it acquires can be tailored to various systems by retraining an action decoder or policy using paired data of observations and corresponding actions. Even with limited amounts of task-specific data, Odyssey-3 has demonstrated its utility in controlling robotic arms, powering humanoid robots, operating vehicles, and producing synchronized multi-sensory observations. Furthermore, it is capable of facilitating interactive experiences that enhance user engagement and understanding.

Atlas is an innovative, browser-based platform that leverages AI to enhance mapping and spatial data capabilities, allowing users from various sectors like real estate, energy, and public service to craft interactive maps and spatial applications without needing extensive GIS knowledge. By merging user-friendly tools with AI support, Atlas empowers individuals to transform location data into practical insights effortlessly. Users can seamlessly import various datasets, visualize patterns, and analyze spatial relationships while layering information to uncover significant trends related to territory coverage, site suitability, customer distribution, and environmental considerations. The platform operates within a cohesive workspace that fosters collaboration, enabling project sharing and real-time teamwork. Additionally, Atlas offers a range of templates and widgets designed to streamline common mapping activities, including creating power plant maps, developing site selection dashboards, planning franchise territories, scheduling site visits, and incorporating climate risk overlays, which enhances the overall user experience. Consequently, Atlas proves to be an invaluable resource for professionals aiming to leverage spatial data effectively in their decision-making processes.

Seedance 1.5 Pro, an advanced AI model for audio and video generation, has been created by the Seed research team at ByteDance to produce synchronized video and sound seamlessly from text prompts alongside image or visual inputs, which removes the conventional approach of generating visuals before adding audio. This innovative model is designed for joint audio-visual generation, achieving precise lip-sync and motion alignment while offering support for multilingual audio and spatial sound effects that enhance the storytelling experience. Furthermore, it ensures visual consistency and maintains cinematic motion throughout multi-shot sequences, accommodating camera movements and narrative continuity. The system can generate short clips, typically ranging from 4 to 12 seconds, in resolutions up to 1080p and features expressive motion, stable aesthetics, and options for controlling the first and last frames. It caters to both text-to-video and image-to-video workflows, enabling creators to animate still images or construct complete cinematic sequences that flow coherently, thus expanding creative possibilities in audiovisual production. Ultimately, Seedance 1.5 Pro stands as a transformative tool for content creators aiming to elevate their storytelling capabilities.

Niantic Spatial provides a comprehensive AI-driven spatial computing platform that brings real-world awareness to digital systems. Using its Large Geospatial Model (LGM)—a massive framework trained on real-world aerial and ground sensor data—the platform delivers three core capabilities: Reconstruct for digital twin creation, Localize for centimeter-accurate positioning, and Understand for semantic world modeling. Together, these modules empower machines and humans to navigate, analyze, and interact with physical environments in unprecedented ways. Niantic Spatial enables enterprises to optimize operations in logistics, construction, and infrastructure through verified location tracking and autonomous navigation. It also enhances collaboration by allowing distributed teams to map, assess, and plan sites remotely with real-time 3D visualization. For consumer-facing industries, it powers next-generation immersive AR experiences, from guided tours to interactive urban exploration. Niantic Spatial’s SDK and API ecosystem make integration seamless for developers building spatially intelligent applications. By combining computer vision, AI, and large-scale geospatial mapping, Niantic Spatial redefines how digital systems interpret and interact with the real world.

Odyssey-2 Max is an advanced, real-time world simulation model that transcends conventional generative AI by learning the dynamics of the physical world and facilitating ongoing, interactive settings. As the third iteration in the Odyssey-2 series, it boasts a remarkable increase in scale, featuring three times more parameters and ten times the computational power compared to its predecessor, Odyssey-2 Pro, which fosters new emergent behaviors and enhances the stability and realism of simulations. Crafted to accurately replicate physics, human movement, interactions, and environmental changes in real time, it offers continuous visual output that adapts instantaneously to user commands rather than relying on fixed video clips. In contrast to traditional video models that produce short, predetermined sequences, Odyssey-2 Max enables the creation of extensive simulations that evolve in real time, allowing users to engage with a dynamically unfolding environment. This innovative approach redefines user interaction, making every session unique and immersive as the simulation adapts to each new input.

Atlas Cloud is an all-in-one AI inference platform designed to eliminate the complexity of managing multiple model providers. It enables developers to run text, image, video, audio, and multimodal AI workloads through a single, unified API. The platform offers access to more than 300 cutting-edge, production-ready models from industry-leading AI labs. Developers can instantly test, compare, and deploy models using the Atlas Playground without setup friction. Atlas Cloud delivers enterprise-grade performance with optimized infrastructure built for scale and reliability. Its pricing model helps reduce AI costs without sacrificing quality or throughput. Serverless inference, agent-based solutions, and GPU cloud services provide flexible deployment options. Built-in integrations and SDKs make implementation fast across multiple programming languages. Atlas Cloud maintains high uptime and consistent performance under heavy workloads. It empowers teams to move from experimentation to production with confidence.

Reactor is currently developing an essential layer for world models and is inviting users to engage with real-time world models in an early preview. The core of its product strategy revolves around worlds that are generated on the spot, allowing for instantaneous creation of pixels, sounds, and actions, which transforms user interaction with both software and the tangible world. This preview marks the beginning of a new era, enabling users to explore AI-generated environments powered by a global low-latency infrastructure. Reactor is dedicated to pioneering the next wave of AI, focusing on real-time world models that can be navigated by people, agents, and robots in a frame-by-frame manner. Instead of merely presenting generated video as a passive viewing experience, Reactor envisions interactive spaces that can be lived in, manipulated, and molded as they unfold. The research and product development prioritize real-time interactions, inference, customizable world models, and systems capable of making dynamic visual settings responsive enough for live engagement, paving the way for a more immersive experience. This innovative approach aims to redefine the boundaries of digital interaction, merging creativity with cutting-edge technology.

Odyssey-2 Pro represents a groundbreaking general-purpose world model that allows for the generation of continuous, interactive simulations, which can be seamlessly integrated into various products through the Odyssey API, akin to the significant impact that GPT-2 had on language processing. This model is developed using extensive video and interaction datasets, enabling it to understand the progression of events frame-by-frame and produce simulations that last for minutes, rather than just brief static clips. With its enhanced physics, richer dynamics, more lifelike behaviors, and clearer visuals, Odyssey-2 Pro streams 720p video at approximately 22 frames per second, providing immediate responses to user prompts and actions. Furthermore, it facilitates the integration of interactive streams, viewable streams, and parameterized simulations into applications through straightforward SDKs available in both JavaScript and Python. Developers can incorporate this powerful model with fewer than ten lines of code, allowing them to craft open-ended, interactive video experiences that dynamically change based on user interactions, thus enhancing the overall engagement and immersion. This capability not only revolutionizes how simulations are utilized but also opens the door for innovative applications across various industries.

FLUX 3 Action is a versatile 7B world-action model aimed at enhancing action prediction for robotics and other environments with high latency demands. This model is built upon the multimodal FLUX 3 backbone and has undergone extensive pretraining on vast datasets encompassing images, videos, and audio, with a notable focus on video content. It then goes through a phase of joint video-action training and fine-tuning tailored to specific robotic applications and action frameworks. By utilizing instructions, visual input from cameras, and robot joint angles, FLUX 3 Action is capable of predicting motor commands alongside anticipated visual outcomes, enabling robots to perform actions, reassess their surroundings, and iterate on their plans. This approach contrasts with methods that treat visual prediction and control as separate processes, as FLUX 3 Action integrates future video predictions with action commands, effectively leveraging knowledge gained from extensive video pretraining to refine robot control mechanisms. Impressively, its single-step 7B model achieves a success rate of 38.3% on the RoboLab-120 benchmark, showcasing its effectiveness in real-world applications. Furthermore, this innovative integration of action and perception marks a significant advancement in the field of robotic control.

By seamlessly integrating a diverse array of functionalities, we provide users with the ability to quickly adapt to our system, resulting in greater advantages for everyone involved! The simplicity of implementation and training, coupled with the encouragement of employee participation and remarkable practicality, are vital components of an outstanding automation solution. All of this is available through Atlas Software, including Atlas BPM, which is a key component of the Atlas Business Solution platform. As your organization evolves, our services will expand to meet your needs. Streamline and automate essential business processes within a single system for optimal efficiency. Experience excellence in process management and execution through a user-friendly workspace. With Atlas BPM, you gain the power to oversee processes effectively and make informed decisions, ultimately enhancing the management quality and productivity of your entire organization. This comprehensive approach ensures that your business can thrive in a competitive landscape.

ReconstructMe operates on a principle akin to that of a typical video camera—just maneuver around the object you wish to create a 3D model of. The scanning capabilities of ReconstructMe cater to a range of sizes, from small items like human faces to larger spaces such as entire rooms, and it functions effectively on standard computer hardware. Explore its various features and learn how to incorporate ReconstructMe into your projects through our robust SDK. Instead of merely generating a video feed, ReconstructMe provides a full 3D model in real-time as you navigate around the subject. Additionally, it is essential to be aware of the hardware requirements for optimal performance. ReconstructMe excels in capturing and processing color information from the scanned object, provided that the sensor is equipped to deliver the necessary color data. This versatility makes it a valuable tool for diverse modeling applications.

SeedEdit is a cutting-edge AI image-editing model created by the Seed team at ByteDance, allowing users to modify existing images through natural-language prompts while keeping unaltered areas intact. By providing an input image along with a description of the desired changes—such as altering styles, removing or replacing objects, swapping backgrounds, adjusting lighting, or changing text—the model generates a final product that seamlessly integrates the edits while preserving the original's structural integrity, resolution, and identity. Utilizing a diffusion-based architecture, SeedEdit is trained through a meta-information embedding pipeline and a joint loss approach that merges diffusion and reward losses, ensuring a fine balance between image reconstruction and regeneration. This results in remarkable editing control, detail preservation, and adherence to user prompts. The latest iteration, SeedEdit 3.0, is capable of performing high-resolution edits of up to 4K, boasts rapid inference times (often under 10-15 seconds), and accommodates multiple rounds of sequential editing, making it an invaluable tool for creative professionals and enthusiasts alike. Its innovative capabilities allow users to explore their artistic visions with unprecedented ease and flexibility.

**CallAtlas.io: Revolutionizing Call Tracking Software** CallAtlas.io is a cutting-edge call tracking software that provides businesses with the tools they need to manage their inbound calls effectively. With features such as international local and toll-free phone numbers, a paper call network, call recording, and call routing capabilities, CallAtlas.io is the go-to solution for businesses looking to streamline their call management processes. **Key Features:** - **International Local and Toll-Free Phone Numbers:** CallAtlas.io offers a wide range of international local and toll-free phone numbers, allowing businesses to establish a local presence in multiple countries. This feature enables businesses to expand their reach and attract customers from around the world. - **Paper Call Network:** CallAtlas.io's paper call network allows businesses to generate leads through print advertising. By assigning unique phone numbers to different ads, businesses can track the effectiveness of their print campaigns and make informed decisions about their advertising strategies. - **Call Recording:** With CallAtlas.io, businesses can record inbound calls for quality assurance and training purposes.

ChatGPT Atlas reimagines the browser as an AI-powered super-assistant, merging ChatGPT’s conversational intelligence with seamless, context-aware web navigation. Instead of toggling between pages and chats, Atlas allows ChatGPT to understand the site you’re viewing and help directly within it—summarizing content, completing forms, or finding related information in real time. Built-in browser memory means your assistant can recall previous pages, projects, and goals, offering continuity across sessions. The optional agent mode lets ChatGPT autonomously perform tasks—like researching, scheduling, or analyzing—while visibly showing its actions to maintain transparency and user oversight. Privacy remains central: you can turn off visibility, clear browsing memories, or go incognito at any time. Designed with enterprise-grade safety, Atlas prevents access to local files or unapproved apps, minimizing risks from hidden or malicious web instructions. It also supports parental controls and customizable data-sharing options, giving users full command of how their information is used. Available today for Free, Plus, Pro, and Business users, ChatGPT Atlas marks the next evolution of intelligent, secure browsing.

This system utilizes a sophisticated multi-stage diffusion model for converting text descriptions into corresponding video content, exclusively processing input in English. The framework is composed of three interconnected sub-networks: one for extracting text features, another for transforming these features into a video latent space, and a final network that converts the latent representation into a visual video format. With approximately 1.7 billion parameters, this model is designed to harness the capabilities of the Unet3D architecture, enabling effective video generation through an iterative denoising method that begins with pure Gaussian noise. This innovative approach allows for the creation of dynamic video sequences that accurately reflect the narratives provided in the input descriptions.

Streamline your operations by substituting multiple software applications with robust tools for workflow management, client tracking, and automation. Atlas seamlessly updates your calendar events while transforming incoming client requests into actionable workflow tasks. With Atlas Chat, you can efficiently manage task creation and event scheduling, all while providing clients with immediate access. Feel free to inquire anything from Atlas. All client data is systematically organized into profiles, showcasing recent interactions, stored documents, notes, and valuable insights from Atlas. The platform drafts responses for incoming emails, generates email communications upon request, and refreshes your workspace based on email content. You can delve into productivity metrics and time usage, receiving comprehensive insights. Additionally, assess the performance of your top clients, evaluate the productivity of your most dedicated employees, and gain a clearer understanding of your own work habits. This holistic approach to managing your client interactions ensures that no detail is overlooked.

Atlas is an AI-driven platform designed to assist students in studying smarter, writing better, and memorizing more efficiently. With capabilities such as step-by-step problem-solving, essay generation, automated lecture notes, and custom flashcards, Atlas simplifies academic tasks. It integrates seamlessly with students' course materials, ensuring that its AI-generated insights are relevant to their specific syllabus and assignments. With tools like personalized quizzes and real-time chat, Atlas empowers students to study effectively, reduce stress, and improve their academic performance—all while offering free access to ensure that learning remains accessible to everyone.

The GLM-5V-Turbo is an advanced multimodal coding foundation model specifically tailored for tasks that require visual inputs, capable of handling various formats such as images, videos, texts, and files to generate text-based outputs. This model is particularly refined for agent workflows, which allows it to effectively understand environments, plan appropriate actions, and carry out tasks, while also ensuring compatibility with agent frameworks like Claude Code and OpenClaw. Its ability to manage long-context interactions is noteworthy, boasting a context capacity of 200K tokens and an output limit of up to 128K tokens, making it ideal for intricate, long-term projects. Furthermore, it provides a variety of thinking modes suited for diverse scenarios, exhibits robust visual comprehension for both images and videos, and streams output in real-time to enhance user engagement. Additionally, it features sophisticated function-calling abilities that facilitate the integration of external tools, and its context caching capability significantly boosts performance during prolonged conversations. In practical applications, the model can adeptly transform design mockups into fully functional frontend projects, showcasing its versatility and depth in real-world coding scenarios. This versatility ensures that users can tackle a wide range of complex tasks with confidence and efficiency.

Game Worlds is an upcoming AI-driven gaming experience developed by Runway, a $3 billion startup that has already made significant impacts on Hollywood with its generative AI technology. The platform currently offers a basic chat interface enabling users to generate text and images, with plans to expand into fully AI-generated video games later this year. Runway’s vision for Game Worlds is to revolutionize the gaming industry by making game development significantly faster and more efficient, similar to AI’s role in accelerating film production. CEO Cristóbal Valenzuela highlights that the gaming sector is adopting AI rapidly, moving faster than Hollywood did two years ago. The platform also intends to collaborate with game companies to train AI models on rich datasets, enhancing its generative capabilities. Game Worlds will provide both gamers and developers with new ways to create, explore, and interact with dynamically generated game content. This initiative is part of Runway’s broader goal to integrate generative AI into creative industries at scale. Game Worlds stands at the forefront of blending AI technology with interactive entertainment.

SAM 3D consists of a duo of sophisticated foundation models that can transform a typical RGB image into an impressive 3D representation of either objects or human figures. This system features SAM 3D Objects, which accurately reconstructs the complete 3D geometry, textures, and spatial arrangements of items found in real-world environments, effectively addressing challenges posed by clutter, occlusions, and varying lighting conditions. Additionally, SAM 3D Body generates dynamic human mesh models that capture intricate poses and shapes, utilizing the "Meta Momentum Human Rig" (MHR) format for enhanced detail. The design of this system allows it to operate effectively with images taken in natural settings without the need for further training or fine-tuning: users simply upload an image, select the desired object or individual, and receive a downloadable asset (such as .OBJ, .GLB, or MHR) that is instantly ready for integration into 3D software. Highlighting features like open-vocabulary reconstruction applicable to any object category, multi-view consistency, and occlusion reasoning, the models benefit from a substantial and diverse dataset containing over one million annotated images from the real world, which contributes significantly to their adaptability and reliability. Furthermore, the models are available as open-source, promoting wider accessibility and collaborative improvement within the development community.

AtlasCyber is a robust platform designed for threat intelligence and cyber investigations specifically targeting critical infrastructure sectors. It empowers security and operations teams to identify suspicious behaviors, delve into alerts, search for threats, connect related activities, conduct network and host forensics, and craft comprehensive incident reports backed by solid evidence. By analyzing both security and network data, AtlasCyber delivers contextual insights, confidence-scored findings, attribution to threat campaigns, and practical recommendations, all while ensuring that operators maintain control over their systems. The platform is versatile, accommodating IT, OT, and ICS environments, and is capable of ingesting various data formats, including PCAP, Zeek, CSV, and input from existing security solutions. Additionally, AtlasCyber offers flexible deployment options, enabling usage in cloud settings, on-premises installations, or within fully air-gapped environments, making it an indispensable tool for safeguarding critical infrastructure. This adaptability enhances its appeal to organizations seeking comprehensive cybersecurity solutions.

Wan2.2 Animate is a dedicated component of the Wan video generation suite, which focuses on producing high-quality character animations and facilitating character swaps in videos. This module empowers users to convert still images into lively videos or change subjects in pre-existing clips while ensuring that realism and motion continuity are upheld. It operates by utilizing two main inputs: a reference image that illustrates the character's look and a reference video that conveys the necessary motion, expressions, and context of the scene. By combining these elements, it can effectively bring a static character to life by mirroring the body movements, gestures, and facial expressions from the provided video or replace an existing character while keeping the original lighting, camera dynamics, and surrounding environment intact for a fluid transition. The technology employs sophisticated methodologies, including spatially aligned skeleton signals and implicit facial feature extraction, to faithfully capture and reproduce the nuances of movement and expression. Moreover, the module's innovative design allows for a wide range of creative applications in filmmaking and animation, making it a valuable tool for content creators.

Atlas ERP serves as a comprehensive solution for overseeing various aspects such as processes, customer interactions, orders, production, and sales within an organization. By implementing Atlas ERP, you can enhance transparency and control within your business operations. Designed by entrepreneurs specifically for fellow entrepreneurs, this system enables effective client management, business process modeling, project oversight, analytical reporting, and financial management. Essentially, it encompasses all business functions from start to finish within a single platform. Users will find that Atlas ERP is intuitive and compatible with any web browser, eliminating the need for a dedicated programming team for installation and ongoing support, particularly beneficial for manufacturing or trading enterprises. Its core features are fully aligned with business demands, and the standout benefit of AS Systems solutions lies in their ability to adapt to each client's unique requirements. A specially crafted suite of procedures facilitates the creation of tailored solutions rather than relying on one-size-fits-all approaches. This adaptability not only conserves resources but also promotes rapid understanding and seamless implementation, ensuring that businesses can swiftly optimize their operations and achieve their distinct objectives.

Atla's Selene 1 API delivers cutting-edge AI evaluation models, empowering developers to set personalized assessment standards and achieve precise evaluations of their AI applications' effectiveness. Selene surpasses leading models on widely recognized evaluation benchmarks, guaranteeing trustworthy and accurate assessments. Users benefit from the ability to tailor evaluations to their unique requirements via the Alignment Platform, which supports detailed analysis and customized scoring systems. This API not only offers actionable feedback along with precise evaluation scores but also integrates smoothly into current workflows. It features established metrics like relevance, correctness, helpfulness, faithfulness, logical coherence, and conciseness, designed to tackle prevalent evaluation challenges, such as identifying hallucinations in retrieval-augmented generation scenarios or contrasting results with established ground truth data. Furthermore, the flexibility of the API allows developers to innovate and refine their evaluation methods continuously, making it an invaluable tool for enhancing AI application performance.

Atlas by ClearPeople is a modern knowledge platform designed to eliminate information silos and unlock enterprise knowledge. It captures and organizes knowledge automatically at scale, ensuring content remains accurate, contextual, and up to date. By integrating deeply with Microsoft 365, Atlas brings together documents, insights, and expertise into a single, unified experience. Users can search and retrieve information in seconds through a Google-like interface tailored to their role and needs. The platform enhances AI outcomes by providing high-quality, trusted knowledge as the foundation for generative AI use cases. Atlas supports intranets, extranets, and client portals, allowing knowledge to flow wherever work happens. Personalization ensures users see the most relevant insights without extra effort. Governance and provisioning tools maintain control, security, and compliance across regions and teams. Atlas helps organizations reduce time spent searching for information and minimize repetitive tasks. The result is faster decision-making, improved productivity, and measurable business impact.

Kroscloud is a versatile cloud platform that allows users to transform their spatial content into engaging, georeferenced guides without any coding skills needed. Users can upload a photogrammetry 3D model or an incredibly detailed 2D map of up to 1000 megapixels, which will be served as fast tiles, to create their guides seamlessly. The platform enables the addition of various points of interest, complete with text, audio narration, images, YouTube videos, or panoramic jumps for an enriched experience. By anchoring scenes to GPS, visitors can track their live location while exploring the site, and they can also measure distances, areas, and elevation profiles easily. Furthermore, users can switch between layers to juxtapose a ruin with its historical reconstruction or to alternate between different map variants. Kroscloud features two parallel workflows for 3D scenes and 2D maps, both utilizing the same toolkit for consistency and ease of use. Guides can be shared via a link or embedded like a video, making them accessible across all devices. This platform is particularly well-suited for various applications, including heritage and museums, surveying, education, real estate, campus and venue maps, and tourism, enhancing the interaction between visitors and their environments. Additionally, Kroscloud empowers users to create a more immersive experience, fostering a deeper understanding of the locations they are exploring.

Our API facilitates the streaming of 3D scene information into ComfyUI diffusion-driven workflows. It is made available through our web editor, which empowers users to guide image generation using 3D elements. The platform accommodates custom workflows and LoRAs, catering to teams and enterprises that are integrating AI into their production processes. At Playbook, we are committed to the idea that AI can significantly enhance the quality of work, and achieving this requires seamless integration between the model, application, and final product. Users retain ownership of the assets generated through our platform, provided that the inputs used do not infringe on the copyrights of others. As spatial computing (AR/VR) continues to gain traction, along with the growing demand for visual effects (VFX), the necessity for an efficient 3D production pipeline that can deliver real-time content at an accelerated pace becomes increasingly evident. Playbookengine.com serves as a diffusion-based rendering engine designed to expedite the journey from concept to final image using AI technology. Accessible through both a web editor and an API, it also supports scene segmentation and re-lighting features, enhancing the creative possibilities for users.

TokenAtlas is an innovative platform focused on AI FinOps and cost intelligence, designed to assist teams in comprehending, predicting, and managing AI expenses before they escalate. Users can define their workload by providing details such as model specifications, token input and output volumes, request frequencies, and anticipated growth, allowing TokenAtlas to evaluate the scenario against a curated list of API pricing. The cost modeling dashboard consolidates all configured workloads into a single interface, while the model comparison feature juxtaposes various provider and model options using clear and transparent assumptions. Additionally, the what-if scenario planning tool assesses the potential financial impact of introducing a new prompt, switching models, modifying retrieval pipelines, or increasing traffic prior to actual implementation. Moreover, cost risk analysis pinpoints the workloads that are particularly vulnerable to fluctuations in volume, prompt size, or model selection, while benchmark comparisons reveal how the configured model mix stands in relation to standard AI product and infrastructure profiles. This comprehensive approach empowers teams to make informed financial decisions, enhancing overall efficiency and cost-effectiveness in AI operations.

Mirage 2 is an innovative Generative World Engine powered by AI, allowing users to effortlessly convert images or textual descriptions into dynamic, interactive game environments right within their browser. Whether you upload sketches, concept art, photographs, or prompts like “Ghibli-style village” or “Paris street scene,” Mirage 2 crafts rich, immersive worlds for you to explore in real time. This interactive experience is not bound by pre-defined scripts; users can alter their environments during gameplay through natural-language chat, enabling the settings to shift fluidly from a cyberpunk metropolis to a lush rainforest or a majestic mountaintop castle, all while maintaining low latency (approximately 200 ms) on a standard consumer GPU. Furthermore, Mirage 2 boasts smooth rendering and offers real-time prompt control, allowing for extended gameplay durations that go beyond ten minutes. Unlike previous world-modeling systems, it excels in general-domain generation, eliminating restrictions on styles or genres, and provides seamless world adaptation alongside sharing capabilities, which enhances collaborative creativity among users. This transformative platform not only redefines game development but also encourages a vibrant community of creators to engage and explore together.

Pixelperfect serves as a web-based AI tool designed to upscale small, soft, pixelated, compressed, or aging photographs. By processing the uploaded images, it enhances visual details, minimizes softness and noise, and achieves a clearer enlargement, typically around four megapixels. This tool is particularly beneficial for those looking to refine low-resolution images for various online applications, such as product listings, design projects, or printing purposes, catering to online sellers, designers, and individuals engaged in the restoration of older images. Additionally, it features a dedicated print-size calculator that aids users in determining appropriate print dimensions for their images. Unlike traditional photo editing software, Pixelperfect is specifically tailored for image enlargement and preparation for print. Users can take advantage of its complimentary plan, which allows three upscales each month without the necessity of a credit card. This makes it an accessible option for those seeking to improve their visual content without incurring costs upfront.

Enhance the understanding of 3D reconstruction capabilities from images and photogrammetry by creating a C++ framework. Facilitate reproducible research through an easily comprehensible and precise implementation of both contemporary and traditional algorithms. OpenMVG is crafted to be user-friendly, allowing for straightforward reading, learning, modification, and application. With its rigorous test-driven development and comprehensive samples, the library empowers users to construct reliable larger systems. OpenMVG encompasses a complete framework for 3D reconstruction from images, comprising various libraries, executables, and processing pipelines. The libraries grant seamless access to functionalities such as image manipulation, feature description and matching, camera models, feature tracking, robust estimation, and multiple-view geometry. The executables address specific tasks required by a pipeline, including scene initialization, feature detection, matching, and the reconstruction process known as structure-from-motion. Furthermore, this versatility makes OpenMVG a valuable tool for both beginners and seasoned researchers in the field.