Giving technology eyes into the real world.
AUGEN AI works on making video data useful. Cameras already see more of the world than people do, and very little of what they see is stored, understood and indexed. We are creating the layer that turns that footage into understanding of the physical environments.
Team's decade long passion for physical industries
AUGEN AI is built by a Stanford team that has spent close to a decade building products at the intersection of technology and physical industry. Our passion for physical industries started with our work building IoT and camera products for transportation and logistics customers, which led us to building video intelligence solutions for physical industries.
In the last few years we have collected and analyzed more than 10 billion minutes of data from real environments. That history shapes how we build. We know what fails in the field: cameras that fog, networks that drop, operators who route around software, how the real economy consumes and benefits from technology.
- Origin
- Stanford
- Time in physical industries
- Close to a decade
- Prior work
- Industrial IoT; video intelligence for industry
- Data worked with
- 10+ billion minutes
Why we are excited
Cameras outnumber human eyes.
It is already happening. Phones, vehicles, factories, stores and streets add sensors faster than the population grows. The world is now watched more by machines than by people, and almost none of what those machines see is understood.
Cameras overtook human eyes around 2017. Points are the cited figures; lines between them are straight interpolation.
Source: LDV Capital, 2017 (14B cameras in 2017, 45B forecast for 2022); UN World Population Prospects, ×2.
Understanding the world needs 10x more data than reading the world.
Language models were trained on the text of the internet. Understanding the physical world needs far more than that, and the raw material already exists: the cameras of the world store around 17 times the data of the entire internet. The bottleneck is not footage. It is turning footage into understanding.
By volume, camera storage worldwide is roughly 17 times the size of the internet. One square is the internet.
Source: AUGEN AI estimate, 2026.
Our Mission
We exist to make video data extremely useful, and to give technology eyes into the real world.
We want to work with the economies, companies, researchers and individuals who want to advance this: operators with cameras and no way to learn from them, researchers who need data from the physical world at scale, and builders who need perception that holds up outside the lab.
Data we have access to
| Industry | Description | Data types | Volume |
|---|---|---|---|
| Manufacturing | Factory floors and assembly lines | Egocentric Egocentric + sensors + hands Ego + Exo Fixed cameras exocentric | 10,000+ hours |
| Logistics | Warehouses, yards, loading docks | Egocentric Ego + Exo Egocentric + sensors Fixed cameras exocentric | 10,000+ hours |
| Construction | Active job sites | Egocentric Ego + Exo Egocentric + sensors Fixed cameras exocentric | 1,000+ hours |
| Energy and utilities | Plants and field assets | Egocentric + sensors Fixed cameras exocentric | 1,000+ hours |
Working with us
We are a lot of fun to work with. Choose your adventure and let's talk.
Talent
Engineers and scientists who want to work on perception for the physical world, with real data from real facilities rather than benchmarks.
Write to usResearchers
Academic and industry researchers who need physical-world video at scale, or who want to test methods against it.
Write to usCompanies
Operators and partners with cameras in the field: if you want to be part of the physical AI revolution and benefit economically, talk to us.
Talk to us