The growing amount of space debris in low Earth orbit (LEO) presents a serious challenge. Defunct satellites, rocket parts, and collision fragments travel at extremely high speeds, posing risks to active satellites, the International Space Station (ISS), and future space missions. Without intervention, collisions could trigger a chain reaction (Kessler Syndrome), making certain orbits unusable for decades. Current solutions, like passive debris mitigation guidelines, are insufficient. A more proactive and scalable approach is needed to track, avoid, and eventually remove this debris.

Proposed Solution: A Two-Phase Approach

One way to address this issue could involve a phased strategy. The first phase might focus on software, using AI to track debris and predict collisions by combining data from telescopes, radars, and satellite telemetry. This could provide real-time alerts to satellite operators, helping them avoid costly collisions. The second phase could involve active debris removal (ADR), possibly through partnerships with aerospace companies to develop cost-effective removal methods like robotic arms or nets. This could be offered as a service to governments and private operators.

Key Stakeholders and Incentives

Several groups could benefit from such an initiative:

• Satellite operators (e.g., SpaceX, OneWeb) would reduce collision risks and lower insurance costs.
• Governments (e.g., NASA, ESA) could better protect critical space assets like the ISS.
• Insurance companies might see fewer claims related to satellite damage.

Monetization could come from subscription-based tracking services, per-mission debris removal fees, or selling data to researchers and insurers.

Execution and Competitive Advantages

An initial MVP could start with a debris-tracking API using publicly available data, followed by integration with proprietary sources. Over time, predictive algorithms could be refined, and partnerships could be formed to test removal technologies. Compared to existing solutions, this approach could stand out by combining tracking with removal services, starting with software to minimize upfront costs, and leveraging AI for more precise collision predictions.

By beginning with a scalable software model and gradually introducing hardware solutions, this idea could address space debris while managing financial and regulatory risks. Early partnerships with satellite operators and space agencies could help validate demand before committing to more capital-intensive ADR technologies.