People are dying on waitlists because we can't make isotopes fast enough. The bottleneck isn't reactors. It's physics.
Our spectrum-shaping AI works wherever neutrons meet target nuclei. The physics is universal. The market opportunity starts with medical isotopes — and expands into every sector that depends on neutron reactions.
The radiopharmaceutical market is in a historic moment. $15B+ in big pharma acquisitions in two years. The first blockbuster radiopharmaceutical ever. A supply crisis that worsens with every FDA approval. And zero companies designing the neutron spectrum.
Novartis's Lu-177 radioligand therapy hit $1.39B revenue in 2024 (+42% YoY), targeting $5B peak. First blockbuster radiopharmaceutical ever. Now every major pharma company is racing to build a radioisotope pipeline — and they all need the same scarce neutron-produced isotopes.
Every FDA approval multiplies demand. New reactors take a decade and $1B+. Spectrum shaping multiplies the output of what already exists — in weeks, not years.
Some isotopes (F-18, Ga-68) are best made by cyclotrons that tune proton energy directly. We optimize neutron-driven production — the majority of commercial volume.
40,000 daily US procedures depend on 5 aging reactors, none in America. The 2024 shortage canceled procedures globally. The single most critical isotope on Earth.
Powers Pluvicto and Lutathera. 20% CAGR. Every pharma company wants in. Neutron capture on Yb-176 — production already strained.
Co-60 sterilizes 40% of single-use medical devices globally. Ir-192 treats 500K+ cancer patients/year. Both made exclusively by neutron capture.
Every D-T fusion reactor must breed its own tritium fuel — there is no natural supply. Lithium blankets surrounding the plasma capture neutrons to produce tritium, but the breeding ratio is razor-thin. Most reactor designs barely achieve a tritium breeding ratio (TBR) above 1.0.
Our AI optimizes the neutron spectrum hitting the breeding blanket — maximizing tritium yield from the same fusion neutron source. The physics is identical: reshape φ(E) to overlap with the Li-6 and Li-7 capture cross-sections. A few percent improvement in TBR can mean the difference between a reactor that sustains itself and one that can't.
Every satellite, every weapons system, every piece of space electronics must be certified against radiation damage. Current testing uses broad-spectrum neutron beams that don't match the actual threat environment — leading to over-engineering or missed failure modes.
AI-shaped neutron spectra can replicate specific threat profiles with precision: the exact energy distribution of cosmic ray secondaries, nuclear weapon effects, or reactor environments. DOD and NASA need this. The testing infrastructure exists — it just needs smarter beams.
Neutron Transmutation Doping (NTD) is the gold standard for producing ultra-uniform silicon used in high-power electronics — from EVs to grid infrastructure. A thermal neutron converts Si-30 to P-31, creating perfectly homogeneous n-type doping that no chemical process can match.
The precision of the thermal spectrum directly determines doping uniformity. Our AI designs filter geometries that deliver exactly the thermal distribution needed — reducing waste irradiation and improving yield. The same approach applies to nuclear waste transmutation, where specific actinides must be targeted at their resonance energies.
Small changes in material arrangement produce order-of-magnitude differences in beam quality.
Topology optimization found designs no human ever considered, beating decades of manual work.
ML surrogate + genetic algorithm outperformed every previous manual design.
Wherever neutrons meet target nuclei, the spectrum determines the outcome.
Get in Touch