We bring together subject-level top scientists, science-focused AI models, and robotic labs to cut R&D iterations from months to days.
Here is what we know:
- Everything related to energy, defense, and mobility must change by…yesterday.
- AI will deliver in-silico Nobel-level scientists by 2035. Maybe earlier.
- Robots will be trained by AI and deliver faster, reliable lab and manufacturing operations.
- If you plan to beat the world’s best scientists with AI, it will help to have the world’s best scientists in your payroll.
- The only competitor you have is time. What if we could be successful in days while your competitors take months to fail.
Here is what we don’t know (yet):
- What proton exchange membrane and cathode catalyst can cut the cost of direct-air electrochemical carbon capture to under $100/ton of CO2 while providing 10,000+ hour equipment durability.
- What electrolyte and cathode composition can safely deliver >700 Wh/kg energy density in a rechargeable battery while maintaining cycle life beyond 1,000 cycles?
- What catalyst design can convert CO₂ and green hydrogen into sustainable aviation fuel at <$400/ton with >70% selectivity and long-term stability?
- What scalable method can incorporate carbon nanotubes into battery anodes to achieve faster charge rates while preventing lithium dendrite growth?
- What elemental combinations and processing conditions can produce high-entropy alloys that retain mechanical strength above 1,000°C and resist radiation damage over 10,000+ hours of operation?
But our scientists have some ideas, the best-fit AI platform, and the labs.
We’ll know a bit more every 48 hours.
