Transforming planetary data into actionable resource and mission decisions for in-space industry
Asteroid resource utilization is constrained by decision uncertainty.
Each reconnaissance or mining mission represents $100M–$10B in capital risk. Yet target selection still relies on sparse observations, manual expert judgment, and heuristic assumptions.
Resource abundance, extractability, and tool–environment compatibility remain poorly quantified
Uncertainty drives conservative designs that add mass, cost, and complexity
Investment decisions driven by uncertainty rather than physics and data
Labels asteroid resources—volatiles, metals, regolith properties—using multi-mission planetary datasets
Models extraction efficiency by coupling resource properties with tool and mission constraints
Quantifies technical risk, yield uncertainty, and operational feasibility with precision
Delivers explainable recommendations for target selection, mission design, and hardware trade-offs
"We first enable others to mine the right ones, with the right tools."
Trained on real planetary data—spectral, thermal, radar, shape, dynamical, and sample-return datasets from actual space missions
Machine learning models that link surface properties to extraction performance, grounded in engineering reality
Models designed for sparse, biased observational regimes—quantifying what we know and don't know
Feedback loop with new space missions continuously improves model accuracy and coverage
The full potential of asteroid mining and in-space resource utilization
High-value asteroid commodities viable for Earth-return—supply-constrained metals and strategic industrial elements
In-space manufacturing and resource extraction startups
Logistics and orbital services providers
National space programs and defense agencies
Platform access for ongoing intelligence and decision support
High-value consulting and custom intelligence engagements per program
Long-term competitive advantage through proprietary labels, models, and mission feedback
This expertise cannot be assembled post hoc by hardware-only teams.
19+ years of planetary science and NASA mission experience. PhD in Astronomy. Senior Data Scientist with deep expertise in asteroid characterization.
Supported by a network of senior consultants across planetary science, space systems, and data science from the international asteroid scientist and engineer community.
Near-Earth objects rich in platinum group metals
Optimize launch windows & trajectories
Spectral analysis & thermal imaging
Beyond Earth orbit resource extraction
Supporting crewed exploration missions
18–24 month runway to achieve:
Interested in partnering or investing? Let's discuss how 216-16 Metal can power your space resource strategy.
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