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Propheus
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Propheus
@Propheusai
A Physical AI company on a mission to build the most comprehensive knowledge representation of every place on Earth.
Singapore Katılım Şubat 2024
35 Takip Edilen56 Takipçiler
Propheus retweetledi

We had done a benchmarking study a few months ago testing 20+ models for Enterprise AI performance at @Propheusai and even then, while Qwen was not mainstream (and Kimi/GLM didn’t mean anything), it was still neck and neck with Claude and GPT.
It’s no surprise now that it has become a model of choice given its open source roots and highly versatile family of models.
If someone had said in 2023 that China would lead in open source models while US would be primarily closed source, we’d have laughed. Yet, here we are..
@michellemzhou @Sumanth_n83

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Propheus retweetledi

Great essay by @drfeifei on world models. At @Propheusai, @michellemzhou and I have a strong belief that this is the next frontier of AI innovation in the coming decade.
A major application of using real world representations is to guide and simulate the next state (actions and impact) on Enterprise businesses that exist in the physical world - Retail, Consumer Goods, Real Estate. LLMs lack the context and the grounding needed to solve these large scale problems.
Excited to see what comes next from @theworldlabs !

Fei-Fei Li@drfeifei
In this new essay, I lay out the framework for what truly spatially intelligent world models must achieve—three essential capabilities for building AI that creates with a storyteller's imagination, navigates with a first responder's fluency, and reasons about space with scientific precision. 2/n drfeifei.substack.com/p/from-words-t…
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Propheus retweetledi

I'm grateful to be invited to AI Meets the Real World, hosted by @NianticSpatial, and @TEDAISF today.
It was great to see Niantic taking a very similar approach to bringing AI into the physical world - one that deeply resonates with what we’re building at @Propheusai. The panelists not only discussed what it means and the challenges we face in building real world models, but also touched on social questions like how we can enable robots to safely coexist in the cities where humans live.
We also had some fun moments playing with Peridot, Coco, G1, and seeing how training data is generated by teleoperating robots.
Such a vibrant community of people shaping the future of Physical AI. We’re excited to continue the conversation and build real-world use cases where spatial intelligence can make a big impact.




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Propheus retweetledi

🚀 I'm thrilled to share that @Propheusai has been selected by the National Retail Federation @NRFnews to be part of the Innovators Showcase at Retail’s Big Show 2026!
We are super excited as this recognition reflects the momentum we’re seeing from brands and retailers who are ready for a new era of Physical AI. Stores, shelves, supply chain, field teams - the real world is where decisions happen, and we’re excited to show how Propheus unlocks intelligence in every inch of it.
We’ll see you in NYC the coming January. If you’re attending NRF, let’s connect and explore what’s possible.
#NRF2026

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Propheus retweetledi

👏 Huge congratulations to the @Figure_robot team! Figure 03 is an incredible leap in humanoid robotics. What excites me most isn’t just what it can do, but what it signals: robots are starting to perceive the world more like humans.
Its new design pushes sensory intelligence in remarkable ways:
- High-speed, wide-FOV vision
- Embedded palm cameras for close-up perception
- Tactile fingertips sensitive to just a few grams
- Wireless charging and ultra-fast data offload for continuous learning
Beyond perception: context is the next frontier. For robots to truly operate in streets, stores, and homes, they’ll need context - understanding how the world works beyond raw sensors:
🌍 Places & spatial context - how environments are structured and evolve
🌦 Weather & conditions - how rain, fog, or heat affect mobility
🚶 Human mobility - anticipating crowd flow and behavior
🚗 Traffic & routing - dynamic access and congestion patterns
💬 Behavioral context - where people go, what they prefer, how patterns shift
This is what drives us at @Propheusai: A contextual layer that enables AI agents, robots, and moving systems to understand the world the way humans do - to see the streets, stores, and spaces around them as living, changing places, and act with that awareness.

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