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🚀 Missing Layer for Physical AI

From Video to Verified Physical Truth

Turn passive video into a queryable, physics-verified 4D representation. The foundation for robots, world models, and intelligent agents.

Learn More
Physics verification pipeline 40+ early access community Curated datasets
📊 The Data Gap

5,000 hours vs 1 Trillion Tokens

Physical AI is starved for data. We're building the infrastructure to turn the world's interactions into a vast, trusted repository.

See the Gap
🔬 Physics-Grounded Digital Twins

Reconstruct Digital Twins That Actually Know Physics

Our 3‑layer stack — Physical Grounding, Causal Dynamics, and Cognition — turns raw video into intelligent, queryable digital twins that understand mass, friction, and force.

Explore the Stack
⚠️ The Crisis

The Physical AI Bottleneck

The world's brightest minds agree: we're missing a fundamental layer.

The Data Gap

1 Trillion+
Tokens for LLMs
VS
~5,000
Hours of Robot Data

A 200,000x disparity — we need a new source of training signal.

💡 The Solution

Digitizing Interaction, Unlocking Physics

We're building the infrastructure to capture, verify, and share the physics hidden in every human interaction.

1

Upload Any Video

Passive video of human-object interaction — from smartphone to lab-grade — becomes a rich source of physical measurements.

2

Extract Physics

Our pipeline infers mass, friction, material, and geometry using biomechanical, visual, and acoustic channels — all verified against physical laws.

3

Query & Share

Access the Digital Library of Physical Truth — a trusted, queryable repository that fuels robots, world models, and digital twins.

🎮 Interactive Physics

See Physics in Real Time

Click the ball to experience physics in action — this is what our pipeline verifies from video.

⚡ Physics Engine Demo

🔥 Click to Join the Ascent

Be among the first to access the Digital Library

Click the ball to reveal the CTA
🧠 The Physical AI Stack

Grounding → Dynamics → Cognition

The complete stack for physical intelligence — from perception to reasoning.

1

Physical Grounding

Infers mass, friction, material, and 3D geometry from observed interactions — turning passive video into verified physics.

Layer 1
2

Causal Dynamics

Simulates and predicts how objects behave under force and contact — understanding cause and effect in the physical world.

Layer 2
3

Cognition & Agency

Ask natural language questions, run counterfactuals, and gain deep insights — the foundation for intelligent agents and reasoning.

Layer 3
🏛️ Our Commitment

Built for the Future of Intelligence

We're building the foundational layer for Physical AI — open, honest, and grounded in truth.

Ground Truth First

We believe AI must be grounded in verifiable physics. No shortcuts, no black boxes — just honest, transparent physical truth.

Layer 1

Open Collaboration

We're building a community-driven library. Researchers, engineers, and creators — everyone contributes to and benefits from the shared truth.

Community

Future of AI

We're not just annotating data. We're digitizing interaction to unlock the next era of intelligent machines that truly understand the physical world.

Vision
🌟 Trusted by Leaders

Industry Validation

Leading researchers and companies agree: this is the missing layer.

Google
NVIDIA
Meta AI
Figure
Apptronik
Agility

"The challenge is lifting 2D semantics into 3D without losing geometry, semantics, and physics. A 3D world without a graph is just a collection of points."

LG
Prof. Leonidas Guibas Stanford / DeepMind

"We have AI that can pass the bar exam, but where is the domestic robot that can clear the dinner table? Obviously, we are missing something big."

YL
Prof. Yann LeCun ACM Turing Award

"The bottleneck is NOT a lack of robot data; it's the absence of mechanisms to convert the world's vast behavioral data into grounded supervision."

VL
Robots Need More Than VLAs Research Paper

"The real action is at the sensorimotor level — contacts and forces are central. Don't get seduced by cherry-picked demos."

JM
Prof. Jitendra Malik UC Berkeley

"Simulating contact for manipulation is much harder than contact for wheeled or legged locomotion. Contact details matter when grasping a coffee cup."

RT
Prof. Russ Tedrake MIT / TRI

"Data is the primary bottleneck in robot learning — collecting large-scale robot interaction data is expensive and time-consuming."

PA
Prof. Pieter Abbeel UC Berkeley
⚡ Platform Features

Enterprise-Grade Data Intelligence

From annotation to verification to monetization — everything you need to build the future.

Military-Grade Security

End-to-end encryption, GDPR/CCPA compliance, private workspaces, and on-premise deployment. SOC 2 certified.

Team Collaboration

Real-time annotation, review workflows, version control, and comment threads. Boost productivity by 67%.

Data Exchange Platform

Securely share datasets with partners, contribute to open research, or monetize your data. Full license management.

AI-Assisted Annotation

Pre-trained models for bounding boxes, segmentation, and keypoint detection. High accuracy out of the box.

Analytics & Insights

Track annotation progress, quality metrics, and team performance. Export detailed reports for stakeholders.

API & Integrations

RESTful API, Python SDK, and pre-built connectors for ROS, NVIDIA Isaac, and major cloud providers.

🏆 Why PREPNEO

The Clear Choice for Physical AI

We don't just annotate — we verify physics and build ground truth.

FeaturePREPNEOOther Platforms
Physics Verification✅ Yes❌ No
Queryable Graph✅ Yes❌ No
Digital Library Access✅ Yes❌ Limited
AI-Assisted Annotation✅ Yes✅ Yes
Data Monetization✅ Yes❌ No
Enterprise Security✅ SOC 2✅ SOC 2
❓ FAQ

Your Questions, Answered

Everything you need to know about the Digital Library of Physical Truth.

What is the Digital Library of Physical Truth?
It's the world's first trusted repository of verified physical interactions — mass, friction, material, and geometry — extracted from passive video and stored as a queryable graph.
How accurate is the physics inference?
We're currently in active development and validating our pipeline. Early results are promising — we'll share benchmarks as we progress.
Can I use my own data?
Absolutely. Upload any video or image of human-object interaction. We support 50+ formats and all major annotation types.
Is my data secure?
Yes. End-to-end encryption, GDPR/CCPA compliance, private workspaces, and on-premise deployment options.
How do I get started?
Join the waitlist for early access. We're launching soon and will notify you when the platform is ready.
What's the pricing?
We'll offer flexible plans: a free tier for individuals, a team plan, and enterprise plans with dedicated support. More details coming at launch.

Join the Digital Library of Physical Truth

Be among the first to access the world's largest repository of verified physical interactions. Completely free for early adopters.

40+ researchers already on the waitlist

No credit card required. Launching soon.

💬 Chat with us

Have a question? Reach out to our team.

Message sent! We'll respond within 24 hours.

🚀

Coming Soon

We're working hard on this feature. It will be available in the next release. Stay tuned!

Physics Verification Digital Library Queryable Graph