Signal, Not Noise

Millions of changes unfold across the world every day. Information keeps expanding, but meaningful signal becomes harder to isolate.

Markets, geopolitics, supply chains, and energy flows are all moving in real time. The real edge is recognizing which events will actually matter to capital.

Tianshen Eye turns satellites into a live source of intelligence. It continuously watches critical ports, energy hubs, and trade corridors, converting physical-world change into structured decision signals.

What you gain is not more data, but a sharper ability to understand the world as it is changing.

Mission Workflow

How It Works

The first AI system deployed is Eye of God AI Agent, a space-native investment intelligence agent. Unlike traditional AI systems that rely on delayed or incomplete internet data, including financial reports, social media, and market feeds, Eye of God directly observes the physical world. By combining satellite imagery, autonomous observation planning, on-orbit AI inference, and financial market analysis, it produces investment-grade intelligence grounded in physical reality.

What makes this system powerful is not only the model, but the stack behind it.

First, a sovereign orbital data layer. Orbit AI is building its own satellite network and on-orbit sensing infrastructure, with a 12-satellite constellation scheduled to be fully deployed by the end of 2026, creating a direct and differentiated source of real-world intelligence rather than relying only on third-party feeds. This is the starting point of the moat.

Second, an AI intelligence layer. Satellite observations, task planning, image understanding, and financial reasoning are combined into a unified intelligence engine. Instead of producing raw imagery or isolated detections, the system transforms physical-world change into structured signals that can be interpreted in market context.

Third, a decision layer for capital. The end product is not just more data, and not just more analysis. It is decision-ready intelligence: what is changing, why it matters, which assets may be exposed, and what deserves attention next.

The workflow is simple but powerful. Users can ask prediction-market-style questions such as: Are Tesla vehicles accumulating in the Shanghai Gigafactory parking lots? Are global oil storage tanks filling up? Is port activity slowing in major supply chain hubs? The AI agent autonomously designs satellite observation missions to collect the relevant data. Satellite systems schedule orbital imaging and execute target-detection tasks. Instead of waiting for data to return to Earth, imagery is processed directly in orbit through on-orbit AI inference powered by MiniMax large models. Combined with financial datasets and AI reasoning, Eye of God delivers actionable intelligence before traditional analysts receive the underlying data.

This is a new kind of AI, not only reading information, but observing the world.

The system is powered by a three-layer orbital architecture. On-satellite language models interpret tasks, analyze imagery, and perform reasoning. The OpenClaw Agent platform converts outputs into executable actions such as observation scheduling and onboard coordination through a Skills framework. Beneath this, a spaceborne computing layer powered by NVIDIA provides the onboard compute required for stable AI inference in orbit.

In short: the AI model thinks, the agent acts, and the satellite computes, all in space.

Space offers advantages that terrestrial infrastructure cannot provide: global coverage, physical resilience, resistance to censorship, and the potential for sovereign compute independent of national borders or centralized platforms. As AI agents become more autonomous and economically active, the infrastructure must evolve. Orbit AI is building a decentralized orbital compute layer for the next stage of AI systems.

Hover to inspect sample nodes.

Enter Eye of God AI Agent