LaboratoriesWe conduct both peer-reviewed research and science and engineering due diligence on the most demanding topics driving the expansion of humanity. This knowledge informs our investment management and equity research teams.
“What I cannot create, I do not understand.” — Richard Feynman
M1
Humanoids, industrial robots, drones, and autonomous vehicles that perceive, decide, and act in the physical world, along with the sensing that lets them see it: imaging across the spectrum, radar and lidar, and sensor fusion. Progress depends on sensors, actuators, and onboard intelligence working together. Staged demos are weighed against unscripted, real-world reliability.
M2
How things move, on Earth and in space: electric and hybrid drivetrains, hypersonics, rocket engines, electric and nuclear thermal propulsion, in-space refueling, and orbital transfer. The same physics of thrust, efficiency, and endurance governs a ground vehicle, an aircraft, and a spacecraft. Performance claims are trusted only when they hold up in sustained, full-duration testing, not short demonstration runs.
M3
The infrastructure that makes space an industrial domain: launch, satellites, in-space transportation and manufacturing, and debris removal, along with the space thermal management, space power, and radiation-tolerant compute they depend on. This is Mach33's core focus. Every claim is tested against physics first, because mass, power, and heat budgets decide what is real.
M4
Factory automation and 3D printing that make new hardware buildable at scale. Advances here lower cost and shorten the path from prototype to production. Credibility comes from measured throughput, yield, and learning rates.
E1
Engineered composites, alloys, ceramics, and nanomaterials with properties conventional materials cannot reach. They make hardware lighter, stronger, and able to survive heat, cold, and radiation. Lab results earn trust only when they hold up at scale and through qualification testing.
E2
Fusion, advanced fission, next-generation batteries, grid-scale storage, and hydrogen, treated as integrated systems of generation, storage, conversion, and delivery rather than as isolated sources. How these pieces fit together sets the limits for compute, industry, and space. Trust rests on demonstrated system-level performance and licensing milestones, not announced targets.
E3
Getting what civilization needs from the planet and beyond it: critical minerals and mining, water, food and agriculture, climate and carbon, and Earth observation, extending to lunar and asteroid resources. Sensing, automation, and resource science decide what can be extracted, grown, and sustained at scale. Claims are trusted only when yields and recovery rates hold up in the field, not just in pilot plots or lab samples.
E4
Biology as an engineering discipline: therapeutics, diagnostics, synthetic biology, microbiomes, biomanufacturing, and human health in extreme environments, including spaceflight. Breakthroughs come from reading, writing, and controlling living systems. Claims are trusted only when they replicate and hold up in controlled clinical or field trials.
I1
The physical and logical foundations that computation runs on: chips, photonics, neuromorphic architectures, and the hardware beneath AI and quantum systems. Advances here set the ceiling on speed, energy use, and scale for every compute roadmap. Performance claims are trusted only when independently reproduced at production yield.
I2
Moving data between machines, people, and places: laser links between satellites, spectrum and radio systems, 6G, space-to-ground data links, and networks that keep working when contested or disconnected. Every autonomous system depends on it. Throughput and reliability claims are trusted only when measured on fielded links, not in the lab.
I3
New AI methods and the hardware they run on, not applications built on existing models. Breakthroughs come from new architectures, training methods, and chips. Capability claims are trusted only when measured on independent, uncontaminated evaluations.
Principal Investigator J. Brant Arseneau
I4
Computing, sensing, communication, and cryptography built on quantum effects. Promises precise timing and navigation, secure links, and answers to problems beyond classical computers. Progress is judged by verified error rates and logical qubits, not headline qubit counts.
A1
The science of science: the study of research itself, including funding flows, replication, how fields move, and how knowledge claims are produced and validated. It shows where progress is real and where it is stalled or overstated. Findings are trusted only when they are replicated and traceable to their sources.
A2
How claims are sourced, tested, and trusted across every sector, and how systems are secured against those who would corrupt them. Covers evidence standards, provenance, independent verification, cybersecurity, and the tools that separate demonstrated results from marketing. It is the method that runs underneath every other tile.
Mach33 deep tech categories, grouped into machines, the matter, energy, and living systems they draw on, and the information that runs them. Metascience and trust and security apply to every category.