Aino is the first AI agent for spatial analytics, turning plain-English questions into instant maps, insights, and dashboards. Used by leading teams like AECOM and Arcadis, Aino powers smarter site selection, faster market analysis, and confident growth decisions, without the need for GIS skills. 🌍 AI for location intelligence 📊 Site analysis in seconds 🔗 aino.world
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Aino - your co-pilot for spatial data analysis. Aino is a location intelligence tool that helps your business analyze spatial data in minutes. Aino saves hundreds of hours in data work for real estate, retail, urban planning, geo-marketing companies, and more. 🔷 Data Search Engine Simply ask AI to gather and analyze spatial data. Work with global datasets covering social, environmental, and infrastructure data with no technical skills required. 🔷 Generate Full Reports with AI Aino AI can analyze spatial data at various scales: site, neighborhood, or entire city, and explain how it correlates with your business. You don’t need to interpret the results of data analysis to make informed business decisions. 🔷 Integration and Exporting Aino can be integrated into your application to help your users get better answers or work in private mode for your company, seamlessly integrating with your corporate datasets.
Dover, Delaware, US
Barcelona, ES
Data analysis has never been easier. Planners get data in minutes.
⏱ Planning a neighbourhood? Preparing a masterplan? There’s an AI tool that’s genuinely impressive for urban planners: Aino. Aino helps architecture studios analyze any site in seconds — from walkability to service access. - Ask questions directly to AI - Customize and style analytical layers as needed - Export presentation-ready PDFs or PNGs 👉 Visit aino.world or ✉️ Alex Kamenev with questions
🏗️ Aino tutorials 06: Site Analysis In this video, we demonstrate a simple site analysis workflow that architects can complete in Aino in just minutes. Using a building block in Eixample, Barcelona as an example, we show how the same methodology can be applied to both built and unbuilt sites. Within a 1 km radius, we map surrounding buildings, road networks, and green spaces. More advanced layers, such as foot traffic, can also be added to better understand movement patterns and urban intensity across the site. 👉 In the next video, we’ll showcase a 15-minute city workflow.
👉 Try our free 14-day business trial with full export options. aino.world
Aino export options. You can export GIS data in multiple formats to fit your needs 🖼️ PNG / JPG Export your map as a clean image with scale, crop, and view settings. Perfect for presentations, reports, and quick sharing. 🌍 GeoJSON Structured geodata with coordinate systems preserved. Ideal for analysis pipelines, custom apps, and advanced spatial workflows. 📊 CSV Download your project as structured tables. Great for spreadsheets, statistics, or importing into BI tools and databases. 🎨 SVG / PDF Vector exports for pixel-perfect visuals. Open in Illustrator or Figma, fine-tune styles, and prepare polished outputs for print or presentations. 📐 DXF Engineering-ready geometry export. Works seamlessly with AutoCAD and other CAD tools for precise drafting and planning. 🔗 Google Sheets Connect your project to Google Sheets and keep datasets in sync. Edit, share, and collaborate—no re-export needed.
Aino tutorials 05: Export options & Collaboration In this video, we cover how to share, collaborate, and export your Aino projects. You’ll learn how to invite collaborators, embed maps on websites, and export your work in multiple formats, including images, geospatial files, vector graphics, and CAD-ready files for tools like AutoCAD, Rhino, and SketchUp. This video wraps up the fundamentals of working with Aino and prepares you to use your analyses across different workflows. 👉 In the next video, we’ll showcase real-world examples of analyses built with Aino.
Aino tutorials 04: Data editing & visualisation In this video, we focus on editing, styling, and interpreting data inside Aino. You’ll learn how to explore attribute tables, categorize data, adjust colors and labels, clip layers for cleaner results, and create heatmaps. We’ll also look at legends, data summaries, and basic interpretation of spatial results. Finally, we’ll enable 3D visualization to explore building heights and spatial relationships. By the end of this video, you’ll know how to create visually compelling and easy-to-understand maps. 👉 Next video: sharing and exporting your work.
Aino tutorials 03: Data Importing & available datasets This video focuses on importing and managing data in Aino. We’ll explore how to upload custom data from external sources, including shapefiles and zipped datasets. You’ll also learn how to connect a PostgreSQL database, use the QGIS plugin, and explore Aino’s free data portal, 15mincity.ai. By the end of this video, you’ll know how to bring your own data into Aino and seamlessly combine it with global datasets. 👉 In the next video, we’ll learn how to edit and visualize that data.
Aino tutorials 02: Introduction to Aino AI Chat. In this video, we introduce Aino’s AI chat and show how you can run GIS analyses using natural language. Instead of clicking through complex menus, you simply describe what you want to do. You’ll see how to ask the AI to place points, create buffer zones and adjust analysis steps before running them. The tutorial also covers working with different data sources, adding reference layers, and switching between basic and expert modes depending on your needs. By the end, you’ll understand how to create maps through a simple conversation. https://lnkd.in/euHZrmer Next up: importing your own data into Aino.
👋 Aino tutorials 01: Introduction to Aino Interface for Absolute Beginners In this first video of the Aino tutorial series, we walk through the Aino Interactive Map interface step by step, designed especially for absolute beginners. You’ll learn the different parts of the interface, how to use core map tools to build your first analysis, and how to switch between 2D and 3D views. We’ll create a simple map by placing pins, drawing polygons, measuring routes, and customizing map backgrounds. By the end of this video, you’ll be comfortable navigating Aino and creating your first project in just a few minutes. 👉 In the next video, we’ll dive into using Aino’s AI chat. https://lnkd.in/eZRdM6VB
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The best way to prove a design decision works? Show it next to one that doesn't. That's one of the methods I'm bringing to a new video series. Not to show perfect developments versus broken ones. It's about sharing digestible knowledge I gained while building Urbanitarian- real places, real choices, and real consequences. The first video drops you into two estates in north Cambridge! Have a spare 2 minutes? I could really use your opinion - leave a comment on what worked (or didn't) in how I structured this comparison. Testing this format and need your honest take on the execution! Want to know where, who, how and why about this project - link in comments! High-quality urban project Marmalade Lane by Mole Architects and TOWN.