Robots in Cactus: click on any location or shelf in the store and the robot will navigate there autonomously and scan it.

Name a retail tech platform that ships faster than 🌵

Our first enterprise client — a retail industry veteran — thinks @CactusXR is going to be the biggest thing to happen to retail since they adopted barcodes.

Many retailers don't know their shelf-worth. We're here to fix that.

Working on getting product images and dimensions into @CactusXR so retailers can design planograms, push them to stores, and do planogram compliance checks all within Cactus. 🌵

Proud day for the Cactus team. 💚

Physical stores are invisible to AI until you create their digital twins. Using a digital twin (1 day of setup) and Gotu by @ZapparApp and Auki, one client cut online order picking times by 50%. And that's barely scratching the surface of AI-powered retail.

If you have a few hundred stores that fulfill online shopping orders, you could be saving millions of dollars a year on picking time. Get in touch to arrange a pilot.

We made an AI copilot for retail workers. Why? Your store is blind. You have cameras, handhelds, inventory systems, and task lists — but none of them talk to each other, and none of them actually know where anything is. Your staff spends their day walking, searching, guessing, and handing off context through meetings that shouldn't need to exist. The data you need to run your store well is trapped in the heads of the people on shift right now. When they clock out, the data walks out with them. This is the problem with physical retail today. Every tool knows something, but no tool knows where anything actually is. What if your store could see itself? What if every product, every shelf, and every task had a position — and every device in the store knew where things were? We built that! It's Cactus. Cactus is an AI copilot for your physical space. It turns your store into a live, shared 3D map that makes your space accessible to AI. Your team scans shelves with their phones. Cactus maps it all — products, tasks, positions — into one shared truth. Less guessing. More doing. Setup is easy: place QR codes around your store for spatial anchoring, walk the space with any iOS or Android device to create the map, and scan product barcodes to register inventory. You can self-deploy in under 24 hours. It's self-hosted on your cloud, so your data stays private. Today, Cactus gives you three powerful features: 1) 3D heatmaps of sales performance, based on true product locations. 2) Navigation assistance for your staff (exposable to the shoppers with app downloads!) 3) A powerful augmented reality task manager, tying tasks to locations instead of lists. We know this works because we've seen it work. Stora COOP Visby is a 5,000 square meter flagship store with over 24,000 SKUs and dozens of employees. During our pilot, staff saved up to 45 minutes per employee per day between faster task handovers and product search. And within the first month, the store eliminated an entire daily recurring meeting — the morning handover became unnecessary because Cactus made it easy to leave detailed notes, descriptions, and navigational aids anchored directly to the locations where the work needed to happen. The most striking result was that staff with cognitive impairments saw the largest performance gains. Spatial instructions are simply clearer than written task lists. Managers reported fewer mistakes and more productivity. Associates competed with each other and were less likely to feel overwhelmed. "Now everything runs perfectly. All the tasks get completed, and they get done correctly." — Team Leader, Stora COOP Visby Ready to make your store see itself? Start with a single shelf. Visit getcactus.ai to learn more.

NVIDIA’s latest report sends a clear message: AI is becoming infrastructure. Yet the AI we’ve seen so far is only half the story. The other half unfolds in the physical world, where the rules are completely different and where @Auki vision takes shape. The NVIDIA report dedicates an entire chapter to retail, and the data tells a clear story: retail is the sector that, more than any other, is translating AI investments into measurable operational results. The main AI objectives in retail include creating operational efficiencies (34%), improving employee productivity (33%), and opening up new business opportunities and revenue streams (23%). Translated into Cactus terms: ✅ 30 minutes saved per employee per day through direct product search. ✅ 15 minutes saved through frictionless task handoffs. ✅ 30% reduction in distance traveled thanks to multi-task route optimization. The report also devotes significant space to the topic of digital twins, precise digital replicas of physical spaces that allow AI to simulate, analyze, and optimize before taking action in the real world. Lowe's, a Fortune 100 retailer, has built physically accurate digital twins of more than 1,750 stores to streamline operations, at a cost of less than $1 per 3D model generated from 2D images. PepsiCo is working with Siemens and NVIDIA to convert production facilities into high-fidelity digital twins that simulate end-to-end operations, achieving a 20% increase in throughput on initial deployments and 10–15% reductions in capital expenditures. This is exactly the field in which Cactus operates, with one key difference Creating a digital twin with Cactus takes just hours, using an iPhone, without dedicated hardware, without external technicians, and without downtime. An employee walks among the shelves, the system reconstructs a 3D map of the store in real time with every product georeferenced, and the digital twin is operational that very same day. The direction is clear, and the market seems ready to fully embrace these new solutions. The gap between those who have already implemented spatial AI in retail and those who haven’t is widening every month.

Dear retailers, you asked for total physical store visibility. We built it. 🌵 Coming soon to Cactus, your spatial AI copilot: 📸 Photorealistic 3D digital twins generated in minutes using a phone so you can see what shelves actually look like 🤖 AI-driven recommendations based on insights gathered from your sales data 🛠️ Drag-and-drop planogram builder that you can push out directly to stores 🗺️ Top-down heat maps that let you instantly visualize revenue and performance metrics across your entire physical floorplan See these features in action in this short demo from @branchandleaf_. If you're thinking about trying it out, get in touch with him today.

Planogram management is coming soon to Cactus. 🌵

Cactus lets retailers view sales data in a spatial heat map so they can do shelf data analytics. Now Cactus does the data analytics for them and provides AI recommendations on how to improve shelves. Introducing: Cactus Insights 🌵💡

We built Cactus on the real world web.

Let's work on your shelf-awareness. Cactus is the AI copilot for the retail floor.

Try Cactus today!

1/ Revolutionizing retail employee productivity with @CactusXR - @broodsugar from @AukiNetwork

We attacked the problem of robotics from an unusual angle: we started with phones. The spatial computing capability of the phone is much like that of a robot - it just has no arms and legs. That gave us the platform to build collaborative spatial computing for XR - that is immediately extendable to robotics proper. We started with simple robots - and soon we'll be showing you state of the art robots like the ones from Unitree integrated with the Auki network. Follow @PhilHKG for behind the scenes looks.

In our last video, we showed you our journey in robotics thus far... Here is a look at what we are currently working on - eyes for Cactus AI. @AukiLabs @AukiNetwork @CactusXR

I run on DePIN.