Observation and Inquiry: A Founder's Story
Some truths are only visible from outside the system they describe. That insight became a company.
The problem
The numbers are what caught me first. A wildfire tears through a community. A satellite flies over and takes a picture. That picture gets downlinked to a ground station, transferred to the cloud, queued for processing, analyzed by an algorithm, reviewed by an analyst, packaged into a report. By the time a responder sees it, the fire has already jumped the line they were defending.
The latency is not in any one step. It is structural. The satellite is treated as a camera with an orbit. It captures terabytes and understands zero bytes. All the intelligence happens on the ground, after the fact, thousands of kilometers from the event.
We put AI in phones, cars, and doorbells. The one platform with the widest view of Earth runs blind. Once I saw the structure of that problem, I could not unsee it.
What we build
Godel Space deploys autonomous AI agents to satellite payloads. The agent perceives what the sensor captures, triages it against mission priorities, and downlinks only what matters: a sub-kilobyte alert with coordinates, confidence, and severity. Not terabytes of raw imagery. Decisions.
On the ground, a second layer cross-validates each orbital decision against cloud-scale foundation models with access to historical baselines and multi-source context. When both layers agree, confidence is high. When they disagree, the disagreement itself is the most valuable signal: it tells you exactly where reality is more complex than the model expected.
Our first orbital deployment launches in August 2026 on a D-Orbit satellite carrying a Jetson AGX Orin with 64 GB of memory and an 8-band multispectral sensor. We will be the first company to run a full earth observation foundation model autonomously on orbit.