Best AI tools for< Space Planning >

Space Planner AI is a web-based space planning tool that helps users create and manage floor plans. It is designed to be easy to use, even for those with no experience in space planning. Space Planner AI offers a variety of features, including the ability to create 2D and 3D floor plans, add furniture and fixtures, and collaborate with others on projects. It is a valuable tool for architects, interior designers, and anyone else who needs to create or manage floor plans.

Interior Render AI is an AI-powered interior design tool that allows users to generate high-quality interior design renderings in various styles based on reference images. Users can upload indoor photos or design sketches and provide a natural language description of their desired style. The AI will then generate realistic and visually appealing renderings that can be used for inspiration, communication, and idea pitching. Interior Render AI is a valuable tool for interior designers, architects, and anyone looking to redesign their space.

ArchiVinci is an innovative suite of AI-driven design tools encompassing the Sketch to Architectural Render AI Tool, Exterior Design AI Tool, Interior Design AI Tool, and Landscape Design AI Tool. It empowers users to effortlessly transform sketches into detailed architectural designs and enhance various aspects of design, from exteriors to interiors and landscapes.

Threekit is a visual product configurator tool designed for brands and manufacturers to enhance online product customization and purchasing experiences. It offers differentiated visual experiences for leading brands in various categories such as furniture, jewelry, sporting goods, commercial bath, and custom doors. Threekit enables users to connect with buyers through amazing visual configurations, 3D modeling, virtual photography, space planning, and augmented reality. The platform also provides tools like bill of material, spec sheets, quotes, and integrations with eCommerce, ERP, configurator, PIM, and more to streamline sales processes. With Threekit, businesses can manage product updates, syndicate product experiences across sales channels, and set business rules and automations.

**Mappedin** is an indoor mapping platform that allows users to create and publish interactive 3D maps of indoor spaces. The platform uses AI to automate the process of map creation, making it easy for users to create accurate and up-to-date maps of their indoor spaces. Mappedin maps can be used for a variety of purposes, including wayfinding, asset tracking, and space planning.

Allex is a project management and portfolio management software that offers a digital multi-project solution. It helps project professionals accelerate time-to-market results by harmonizing projects, resources, and tasks. The platform enables users to have a sweeping overview of projects, predict capacity bottlenecks, improve project coordination through collaboration, and communicate effectively with internal and external stakeholders. Allex is designed to handle complex projects and offers expert support to ensure informed decision-making from planning to launch.

qbiq is a generative AI platform designed for real estate layout design and virtual tours. It automates architectural planning processes, providing customized layout plans for any space and tenant within 24 hours. By utilizing deep-learning technology, qbiq delivers architectural-grade plans and data-driven insights, revolutionizing real estate layout planning for landlords, brokers, and architects. The platform aims to accelerate deal cycles, improve closing rates, reduce vacancy rates, and empower users to make faster and more informed decisions.

YAROOMS is a workplace management software designed for hybrid work platforms, covering all workplace management needs from desk and room booking to analytics, with a focus on ESG. The platform offers modules for desk booking, room booking, hybrid workplace planning, and visitor management, along with an AI workplace assistant. YAROOMS also provides mobile apps, integrations with Microsoft Teams and Google Calendar, and solutions for various industries and departments. The platform aims to empower workplaces to make a positive impact by optimizing office space, enhancing employee experience, and creating a sustainable workplace.

The website provides information and answers common questions related to custom-built homes. It covers topics such as maximizing room space, neighborhood etiquette, design trends, and construction considerations. The site aims to assist individuals in making informed decisions when planning to build a custom home.

Filuta AI is an advanced AI application that redefines game testing with planning agents. It utilizes Composite AI with planning techniques to provide a 24/7 testing environment for smooth, bug-free releases. The application brings deep space technology to game testing, enabling intelligent agents to analyze game states, adapt in real time, and execute action sequences to achieve test goals. Filuta AI offers goal-driven testing, adaptive exploration, detailed insights, and shorter development cycles, making it a valuable tool for game developers, QA leads, game designers, automation engineers, and producers.

ad:personam is an AI-powered Self Serve DSP platform for programmatic advertising, designed to empower businesses of any size to thrive in the programmatic advertising space. It offers a comprehensive suite of programmatic advertising solutions, cutting-edge AI-driven insights and planning tools, and transparent pricing. With features like multi-format ad uploads, cookieless targeting, and in-depth reporting, ad:personam aims to simplify programmatic advertising with AI efficiency and effectiveness.

AFFiNE is an all-in-one KnowledgeOS platform that integrates documents, whiteboards, and databases with AI capabilities. It offers a workspace for writing, drawing, and planning, allowing users to enhance creativity and productivity. The platform is privacy-focused, user-centric, and open-source, catering to individuals, startups, and established organizations. AFFiNE aims to streamline workflows, foster collaboration, and provide a vibrant community space for users to connect and inspire each other.

WTRI is an AI application that offers FutureView™, a suite of tools designed to help individuals and businesses rehearse their future scenarios in a virtual environment. By leveraging cognitive agility assessment, event generation, modeling, and virtual world platforms, WTRI aims to assist users in making agile decisions and adapting to rapidly changing business environments. With a focus on risk management and outcome optimization, WTRI provides a unique approach to strategic planning and preparedness.

Spacely AI is an AI rendering solution that specializes in interior, room, and home design. It utilizes advanced artificial intelligence algorithms to create realistic and immersive visualizations of interior spaces. With Spacely AI, users can easily experiment with different design elements, layouts, and color schemes to bring their ideas to life. Whether you are an interior designer, architect, or homeowner, Spacely AI provides a powerful tool to visualize and plan your design projects with precision and creativity.

Remo is an all-in-one online event solution that allows users to host immersive virtual events with real connections and engagement. The platform offers a variety of features such as virtual event networking, webinar presentations, attendee experiences, event planning tools, registration and ticketing solutions, and AI matchmaking. Remo is trusted by over 1000 organizations worldwide and has received positive reviews for its ability to create visually stunning, branded venues and boost attendee engagement. The platform aims to transform virtual events into real-life experiences by providing human support, interactive tools, and hyper-realistic 3D floor plans.

Whimsical is a collaborative workspace platform that unites teams, tasks, and tools in one place. It offers integrated project spaces for tasks, documents, and communication, infinite canvas for diagrams and wireframes, clutter-free documentation, and mindful team communication. Whimsical aims to help teams achieve high levels of focus, productivity, and calm while maintaining a high quality of life. It provides features such as boards for expressing ideas, docs for planning, projects for project management, and posts for team updates. Trusted by millions, Whimsical offers a distraction-free workspace to enhance productivity and collaboration.

Zensors is an AI application that offers Visual AI agents for real-world understanding. It provides a Spatial AI platform for spatial monetization, Virtual Manager AI solution to automate location operations, and On-Prem AI for understanding spaces, monitoring service processes, forecasting accurately, and ensuring efficiency. Zensors leverages Multimodal AI for video understanding and Spatial AI for structuring unstructured data. The application caters to various industries such as Aviation, Retail, and Commercial Real Estate, offering operational efficiencies, strategic planning, financial performance, safety, and sustainability through AI-driven solutions.

Space-O Technologies is a top-rated Artificial Intelligence Development Company with 14+ years of expertise in AI software development, consulting services, and ML development services. They excel in deep learning, NLP, computer vision, and AutoML, serving both startups and enterprises. Using advanced tools like Python, TensorFlow, and PyTorch, they create scalable and secure AI products to optimize efficiency, drive revenue growth, and deliver sustained performance.

Space Leads Pro is a startup accelerator designed for bootstrapped founders and solopreneurs seeking to grow their businesses. Led by Natia Kurdadze, the accelerator offers a curated database of over 350 unconventional business and marketing growth hacks. It provides tools and resources to help entrepreneurs master lead generation, client acquisition, and marketing strategies across various platforms. The program aims to help founders scale their businesses by providing actionable insights, mentorship, workshops, and networking opportunities.

BuildAI.Space is an AI application that allows users to create personalized AI-powered web apps without the need for technical skills. Users can pick and customize AI tools, upload their data, and design the app to match their brand. The platform offers a variety of AI tools for different use cases, such as nutrition, legal advice, lead generation, SEO optimization, and personalized planners. With features like Magic Builder for customization and AI Credits for advanced functionalities, BuildAI.Space empowers users to monetize their apps and engage with their audience effectively.

Recent LLM (Large Language Models)-based CV and multi-modal works.

Notte is a web browser designed specifically for LLM agents, providing a language-first web navigation experience without the need for DOM/HTML parsing. It transforms websites into structured, navigable maps described in natural language, enabling users to interact with the web using natural language commands. By simplifying browser complexity, Notte allows LLM policies to focus on conversational reasoning and planning, reducing token usage, costs, and latency. The tool supports various language model providers and offers a reinforcement learning style action space and controls for full navigation control.

This repository contains a regularly updated paper list for Large Language Models (LLMs) reasoning in latent space. Reasoning in latent space allows for more flexible and efficient thought representation beyond language tokens, bringing AI closer to human-like cognition. The repository covers various aspects of LLMs, including pre-training, supervised finetuning, analysis, interpretability, multimodal reasoning, and applications. It aims to showcase the advancements in reasoning with latent thoughts and continuous concepts in AI models.

LLM Reasoners is a library that enables LLMs to conduct complex reasoning, with advanced reasoning algorithms. It approaches multi-step reasoning as planning and searches for the optimal reasoning chain, which achieves the best balance of exploration vs exploitation with the idea of "World Model" and "Reward". Given any reasoning problem, simply define the reward function and an optional world model (explained below), and let LLM reasoners take care of the rest, including Reasoning Algorithms, Visualization, LLM calling, and more!

AgentSquare is an official implementation for the paper 'AgentSquare: Automatic LLM Agent Search in Modular Design Space'. It provides code, prompts, and results for automatic LLM agent search. The tool allows users to set up OpenAI API key, install dependencies, and run various tasks such as ALFworld, Webshop, M3Tooleval, and Sciworld. Users can also contribute new modules to the modular design challenge by standardizing LLM agents with recommended I/O interfaces. The tool aims to offer a platform for fully exploiting successful agent designs and consolidating efforts of the LLM agent research community.

Nous is an open-source TypeScript platform for autonomous AI agents and LLM based workflows. It aims to automate processes, support requests, review code, assist with refactorings, and more. The platform supports various integrations, multiple LLMs/services, CLI and web interface, human-in-the-loop interactions, flexible deployment options, observability with OpenTelemetry tracing, and specific agents for code editing, software engineering, and code review. It offers advanced features like reasoning/planning, memory and function call history, hierarchical task decomposition, and control-loop function calling options. Nous is designed to be a flexible platform for the TypeScript community to expand and support different use cases and integrations.

LLM-Agent-Survey is a comprehensive repository that provides a curated list of papers related to Large Language Model (LLM) agents. The repository categorizes papers based on LLM-Profiled Roles and includes high-quality publications from prestigious conferences and journals. It aims to offer a systematic understanding of LLM-based agents, covering topics such as tool use, planning, and feedback learning. The repository also includes unpublished papers with insightful analysis and novelty, marked for future updates. Users can explore a wide range of surveys, tool use cases, planning workflows, and benchmarks related to LLM agents.

ModelScope-Agent is a customizable and scalable Agent framework. A single agent has abilities such as role-playing, LLM calling, tool usage, planning, and memory. It mainly has the following characteristics: - **Simple Agent Implementation Process**: Simply specify the role instruction, LLM name, and tool name list to implement an Agent application. The framework automatically arranges workflows for tool usage, planning, and memory. - **Rich models and tools**: The framework is equipped with rich LLM interfaces, such as Dashscope and Modelscope model interfaces, OpenAI model interfaces, etc. Built in rich tools, such as **code interpreter**, **weather query**, **text to image**, **web browsing**, etc., make it easy to customize exclusive agents. - **Unified interface and high scalability**: The framework has clear tools and LLM registration mechanism, making it convenient for users to expand more diverse Agent applications. - **Low coupling**: Developers can easily use built-in tools, LLM, memory, and other components without the need to bind higher-level agents.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Large Language Models Play StarCraft II is a project that explores the capabilities of large language models (LLMs) in playing the game StarCraft II. The project introduces TextStarCraft II, a textual environment for the game, and a Chain of Summarization method for analyzing game information and making strategic decisions. Through experiments, the project demonstrates that LLM agents can defeat the built-in AI at a challenging difficulty level. The project provides benchmarks and a summarization approach to enhance strategic planning and interpretability in StarCraft II gameplay.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

LL3DA is a Large Language 3D Assistant that responds to both visual and textual interactions within complex 3D environments. It aims to help Large Multimodal Models (LMM) comprehend, reason, and plan in diverse 3D scenes by directly taking point cloud input and responding to textual instructions and visual prompts. LL3DA achieves remarkable results in 3D Dense Captioning and 3D Question Answering, surpassing various 3D vision-language models. The code is fully released, allowing users to train customized models and work with pre-trained weights. The tool supports training with different LLM backends and provides scripts for tuning and evaluating models on various tasks.

Generative AI Workbook is a central repository for generative AI-related work, including projects, personal projects, and tools. It also features a blog section with bite-sized posts on various generative AI concepts. The repository covers use cases of Large Language Models (LLMs) such as search, classification, clustering, data/text/code generation, summarization, rewriting, extractions, proofreading, and querying data.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

Optimizes workspace layout to enhance productivity and efficiency.

Transforming spaces with advanced rendering techniques and aesthetic insights.

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Help optimize floor plan, for better experience, please visit collov.ai

Assisting with Home Decoration and Interior Design

Analytical, image-focused interior design expert.

IKEA products recommendations - planning and renderings - Plan your interior design

Explore The City of the Future

All you need to know - from basics to latest developments e.g. Post Cookie in 2024 , the rise of DOOH, CTV, In-Housing, and much more...

精通2008版CAD的城市规划师，专注于解决规划问题

Expert in space exploration, astronomy, and celestial events

Space-themed artist for scientific inspiration

Adaptive AI for space exploration and exoplanet settlement.

Technical satellite security expert trained on space focused cybersecurity frameworks, best practices and process.

Expert in self-assembling space architecture, focusing on TESSERAE.

🌌 Learn from a Space Advisor !

Engages in dialogues with any character or concept in a unique extradimensional setting.

I explain the Indigenous Tā-Vā Philosophy of Reality

Assists in understanding Maimonides' 'Guide to the Perplexed'

Space Admiral