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Niantic Spatial 🌎 ✓

@NianticSpatial · Earth · joined 10 Jul 2012

We're building real-world foundational models for physical AI, so people and machines can work efficiently and safely together.

958 143Followers
85Following
6 032Posts total
722.9KViews on collected posts

Últimas publicaciones

The real world is the ultimate test. Move from pilot to production faster. Turn real deployment sites into simulation-ready digital twins. Train and evaluate robot policies against real-world geometry and conditions before deployment. We’re looking for a small group of design h
0:22
13.5K views · 12 likes · 4 reposts · 2 replies Open on X →
Heading to #AES2026?  Join Niantic Spatial & @SpexiGeospatial for a Demo Party with drinks, live demos, and a look at drone-to-3D in action.  See how aerial capture becomes an actionable, measurable 3D representation of the real world, meet the teams, and enter for a chance to
16.2K views · 17 likes · 2 reposts · 0 replies Open on X →
The future of Physical AI is city-scale. Together, Niantic Spatial and Singapore Land Authority (SLA) are exploring what it takes to enable precise, city-scale Physical AI. 👉 Read more: https://t.co/I21krV51nh ▶️ Learn more about SLA: https://t.co/Q3JVvyTZ8O #PhysicalAI http
22.8K views · 32 likes · 6 reposts · 0 replies Open on X →
@KitGilbert is now GM of our new Embodied AI business, leading Niantic Spatial's work on building the scalable real-to-sim stack where embodied AI learns visual-spatial intelligence. Building for Embodied AI? Talk to Kit and learn more here: https://t.co/v9dwlOY5Km #PhysicalAI
16K views · 11 likes · 0 reposts · 0 replies Open on X →
☀️🌧️  Introducing Gaussian Splat Relighting, now in beta. Train embodied AI for changing real-world conditions. Using aligned meshes, we simulate new illumination and transfer it onto Gaussian splats—generating lighting, weather + time-of-day variants while preserving the https
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31.1K views · 209 likes · 42 reposts · 7 replies Open on X →
Robots will operate in the physical world. The closer the simulation is to reality, the better robots can prepare for it. At @HumanoidsSummit Seoul, CEO @InhiChoSuh will share how Niantic Spatial’s real-world foundation models bridge the Real2Sim gap to enable faster, safer, 26.4K views · 13 likes · 0 reposts · 1 replies Open on X →
@NianticSpatial The hardest part of legal RAG isn't retrieval — it's temporal accuracy. Laws change. A perfectly retrieved chunk from 2023 might be legally wrong today. 19 views · 0 likes · 0 reposts · 0 replies Open on X →
@NianticSpatial は? 120 views · 0 likes · 0 reposts · 0 replies Open on X →
World models that aren't grounded in the real world will never reach their potential for physical AI. 🌎 Just as RAG cut hallucination in LLMs, location-specific grounding lets robots choose the right action in the right place.  Read more about Niantic Spatial’s thinking: https:
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34.4K views · 42 likes · 9 reposts · 3 replies Open on X →
🤖 What will it take to scale Physical AI? Niantic Spatial CEO @InhiChoSuh joins industry leaders at AI Infrastructure Summit in Santa Clara to discuss where today’s Physical AI architectures work, where they break, and what it will take to reach the next breakthrough. 📅 https:/
17.5K views · 7 likes · 0 reposts · 1 replies Open on X →
Tomorrow at @eccvconf 2026, we’re presenting AutoCompass. Given a photo + a 2D public map, AutoCompass can determine where the camera is and which way it’s facing, even when training data has noisy GPS and no heading labels. The result: precise localization anywhere a public ht
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21.3K views · 38 likes · 12 reposts · 2 replies Open on X →
See why Niantic Spatial is named a Spatial AI Tech Innovator in @Gartner_inc research for our full-stack reality capture platform. Learn how unified Spatial AI can turn the physical world into and business value. 🔗 Access the Gartner® report: https://t.co/UmdNbu2FXf https://t.c
17.2K views · 20 likes · 3 reposts · 0 replies Open on X →
Meet Inhi Cho Suh, CEO of @NianticSpatial, at the Humanoids Summit Seoul. Join the conversation and network with the leaders shaping the future of Physical AI. Grab your ticket and be part of the conversation: https://t.co/HS1PYe0IIi #HumanoidsSummit #Seoul #Robotics #PhysicalAI
26.2K views · 1 likes · 0 reposts · 0 replies Open on X →
@NianticSpatial Fuck you, genocidal bags of bitch 148 views · 3 likes · 0 reposts · 0 replies Open on X →
So apparently Pokémon Go has been helping drones murder people in Palestine, Lebanon, and Iran? https://t.co/d7qG66gWWV
312.3K views · 14.7K likes · 4.2K reposts · 111 replies Open on X →
@NianticSpatial How do we include the Insta360 footage to the Scaniverse app? https://t.co/LzcsgdYRR1 928 views · 5 likes · 0 reposts · 1 replies Open on X →
Nianticが「Scaniverse for business」をローンチ! スマホやInsta360等の360度カメラで現実を精密な3Dモデル化し、ブラウザで動く高精細3DGSを生成。 GPS不要でセンチ単位の自己位置を特定する「VPS 2.0」も。 物理世界を理解する地理空間AIが未来を加速。 #Scaniverse #NianticSpatial https://t.co/Wix2e86Twn
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43.2K views · 589 likes · 93 reposts · 6 replies Open on X →
@NianticSpatial Looking forward to the android version. I wonder how different it is from what I currently use. Looks interesting, kudos. 1.5K views · 3 likes · 0 reposts · 0 replies Open on X →
Today, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Here’s what’s new: 🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats
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122.2K views · 701 likes · 398 reposts · 19 replies Open on X →

Frente a cuentas del mismo tamaño

13 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. alcance normal para su tamaño, reacción más débil que la mayoría.

Visualizaciones medianas17 484esta cuenta5 983mediana de 100K–1M
Alcance, %1.82%esta cuenta1.49%mediana de 100K–1M
Interacción, %0.12%esta cuenta0.93%mediana de 100K–1M
MétricaEsta cuentaMediana de 100K–1MProporción
Visualizaciones medianas por publicación17 4845 9832.92×
Alcance (visualizaciones ÷ seguidores)1.82%1.49%1.22×
Tasa de interacción0.12%0.93%0.13×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

14816 Jun
26.2K9 Sep
17.2K
21.3K10 Sep
17.5K11 Sep
34.4K15 Sep
120
1916 Sep
26.4K17 Sep
31.1K18 Sep
16K
22.8K21 Sep
16.2K22 Sep
13.5K23 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.03%16 Jun
0.01%9 Sep
0.13%
0.24%10 Sep
0.05%11 Sep
0.16%15 Sep
0.00%
0.00%16 Sep
0.05%17 Sep
0.84%18 Sep
0.07%
0.17%21 Sep
0.12%22 Sep
0.13%23 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes66.3%16 380 in total
Reposts19.2%4 748 in total
Replies0.6%153 in total
Quotes1.3%333 in total
Bookmarks12.6%3 103 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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