SpAItial launches Echo-3 to turn iPhone scans into 3D digital twins. Matthias Niessner, Synthesia's co-founder and SpAItial's CEO, released Echo-3 on October 27 after a $13 million seed round. The free iOS 18 app outputs Gaussian splats, point clouds and meshes from a short video, with processing paid for in credits and Android support not yet live. SpAItial's new iPhone app does not dream up a 3D world from a text prompt. It rebuilds the one already in front of your camera, at real-world scale, from a short phone capture. On October 27, SpAItial AI released Echo-3 and a companion iPhone app. The app turns a short phone video into a photorealistic, metric-scale 3D reconstruction of a real room, building or outdoor space. Matthias Niessner, the company's CEO and a co-founder of the AI video company Synthesia, announced the launch on X. He described Echo-3 as a world model that treats reconstruction as "conditional generation" rather than freeform invention. That distinction matters more than it sounds. Most of the world-model conversation this year has centred on generative systems like Google DeepMind's Genie 3. Genie 3 conjures an explorable environment out of a text prompt or a single image, with no obligation to match anything that exists. Echo-3 does the opposite. Point an iPhone at your living room and walk through it for a few minutes. The app hands back a 3D Gaussian splat, point cloud or mesh that preserves actual dimensions - not an AI's impression of what a living room might look like. Skyfall AI claims SKY-001 matches GPT-6 Astra's CAD accuracy at 79.7% IoU while running 51 times faster and up to 150 times cheaper, with commercial launch targeted for early 2027. - specialized world model for engineering design automation - how world models improve CAD software productivity workflows According to coverage from Radiance Fields and Runtime Wire, Echo-3 can handle scales from a single room up to multi-floor buildings, outdoor spaces and public venues. Niessner's own post put it plainly: the outputs are "photorealistic 3DGS, point clouds, and meshes at metric scale, only from a short iPhone video." No LiDAR rig, no survey-grade scanner, no professional photogrammetry crew. The app requires iOS 18 or later and runs on any modern iPhone. Pro models with LiDAR get a bit more: live coverage guidance and a denser scan preview while capturing. It's free to download, but processing a scan draws down credits. SpAItial gives new users a free first month under its subscription plans. Android support is coming, the company says, but is not yet live. That iPhone-first rollout is a small data point in a bigger story. The tools for generating usable 3D space are moving out of research labs and onto consumer hardware faster than most people clocked. A year ago, a navigable 3D reconstruction at this fidelity meant a drone survey or a matterport rig. Now it's a feature in an app store, gated by a subscription tier instead of a hardware budget. SpAItial has been building toward this for a while. The company was founded by Niessner, a Technical University of Munich professor currently on leave. In May 2025 it raised a $13 million seed round to build what it calls Spatial Foundation Models. These are systems meant to natively understand geometry, physics and material properties, rather than just pixels. Its first public release, Echo, generated explorable 3D scenes from text or images. Echo-2 followed in spring 2026, refining real-time scene generation using Gaussian splatting for browser-based rendering. Echo-3 is the pivot from inventing spaces to capturing them. Why reconstruction, not generation, is the harder sell. Niessner frames the bigger opportunity around physical AI: the robotics, construction and real estate systems that need enormous volumes of accurate real-world 3D data to train on. That data pipeline, he argues, has been bottlenecked by the cost of professional scanning. If Echo-3 works as advertised, anyone with an iPhone becomes a potential contributor of metric-scale environment data. That's a very different business model from selling a creative tool to game designers or VFX artists. It also puts SpAItial in a different lane from where the loudest AI headlines have been pointed this year. Genie 3's real-time generation and World Labs' Marble have drawn attention because they let anyone type a sentence and walk into a world that never existed. Echo-3 is making a quieter bet: that the more valuable business, at least for now, is faithfully digitising the world that already exists, one iPhone scan at a time. Echo-3 is also available through an API that accepts photos or video and returns a 3D world. So the reconstruction pipeline isn't limited to the consumer app. Whether that bet pays off depends on something SpAItial can't fully control. How many people are actually willing to walk around their house with a phone for ten minutes to get a digital twin of it? The generative crowd doesn't have that problem. Avenir and Lux Capital are reportedly leading talks to value the laundry-folding robot brain startup near $20 billion, up from $2.4 billion less than two years ago under backers including Jeff Bezos and OpenAI. - robotics startup Physical Intelligence funding round valuation - AI robotics company billion dollar valuation funding Their users just type. Join the discussion. No replies yet. Start the discussion. Walter Schulze brings all the breaking news stories in the tech and startup world and to ensure that Startup Fortune offers a timely reporting on the trends happen in the industry. He now works on a part time basis for Startup Fortune specializing in covering tech and startup news and he also sheds light on investment opportunities and trends.

SpAItial, a Munich and London-based 3D AI foundation model startup, says 3D AI models are "where ChatGPT for language was five years ago". The company, which raised $13 million in seed funding last year, has built its first 3D AI model and is seeking commercial licensing partners. CEO and co-founder Matthias Niessner, who took leave from leading the visual computing and AI lab at the Technical University of Munich, says the company plans to raise additional funding this year. However, he emphasised they won't pursue billions immediately, preferring a "step by step" approach. SpAItial's models create 3D worlds from text and image inputs, with potential applications spanning video games, robotics, construction and housing industries. Niessner attributes continued investor interest to AI's massive opportunity and the ability to build with small teams using AI coding agents.