56th.AI is a product and research company exploring how AI transforms software, business, and human capability. We build platforms and products for that transformation, bringing scientific inquiry and engineering practice together.
Three theses guide our work.
01 — AI will reshape the foundations of computing.
Computer science, software, and hardware have evolved around how people reason, write code, and use machines. As AI becomes both the designer and the user of computing systems, it will open new possibilities for all three. We expect AI to revisit foundational assumptions—from programming languages and software abstractions to the relationship between computation, memory, and energy.
Software written by AI for AI may take forms that differ fundamentally from those designed for human developers. Hardware will evolve alongside it, shaped by new computational demands. This interaction will change how systems are conceived, built, and verified—and expand the problems computing can address.
02 — AI will reshape business administration.
Business administration rests on how intelligence is organized: who sets direction, how decisions are made, and how resources and work are coordinated. As AI takes on these responsibilities alongside people, leadership itself will become shared. AI will increasingly participate in shaping strategy, allocating resources, directing operations, and evaluating outcomes.
We expect this to change the structure of organizations, not only their individual processes. Roles, teams, and management hierarchies will evolve around the capabilities of human and artificial intelligence. People and AI will jointly determine how businesses operate and compete, with responsibility and authority adapting to the work and its context.
03 — Humanity will adapt to AGI.
As AI approaches artificial general intelligence (AGI), people will need to adapt to systems capable of learning and acting across an increasingly broad range of tasks. That adaptation will reach beyond work into education, scientific inquiry, and everyday life. We expect people to develop new capabilities, reconsider established roles, and discover new ways to contribute.
Humans train AI. AI trains humans. AI trains AI. This reciprocal learning becomes more consequential as AI contributes to improving its own capabilities, opening the possibility of recursive self-improvement. Its pace and extent remain uncertain. Humanity’s ability to learn, adapt, and shape its relationship with evolving intelligence will become a central challenge—and a source of new possibilities.
These three shifts reinforce one another. Advances in computing enable new forms of business, shared leadership changes how work is organized, and human adaptation shapes how intelligence is developed and applied. Helium brings these directions together.
Helium
Light enough to rise. Built for the heavy lifting.
Helium is an AI enterprise platform—a converging hub of human and artificial intelligence, connecting people, agents, knowledge, data, and software.
Its vision is an enterprise where AI carries out and coordinates work, people and AI learn from each other, AI trains AI, and the systems they use evolve alongside them. Its purpose is to turn that collective capability into action: creating software, operating businesses, and developing new ways to work.
Our own work provides a practical setting for testing ideas and learning from their results.
Science shapes what comes next.
Scientific discovery changes how we live, what we can build, and how businesses operate. We believe AI’s most consequential contribution will be to science itself: helping develop explanations, test ideas, and turn knowledge into new capabilities.
Our research direction connects that ambition to practical problems. Each field presents a different challenge—and teaches us something essential about the systems we design.
Finance — Efficiency with correctness
Financial systems demand precise behavior under pressure. Our experience here shapes how we approach performance, verification, and the efficient use of resources. It gives us a demanding environment in which to investigate how AI can build systems whose behavior can be measured and trusted.
Law — New governance
AI will change who acts, who decides, and who bears responsibility. We are interested in how governance must evolve—and how rules, rights, and obligations can become part of the systems themselves. Law raises essential questions about the authority we give AI and how disagreements and consequences are addressed.
Healthcare — Science in service of life
Improving health and relieving suffering give AI a profound human purpose. Healthcare connects the ambition of scientific discovery to the needs of each person. It directs our attention toward how AI can advance understanding, support care, and make the benefits of knowledge more widely available.
Robotics — Assistance in the physical world
Robotics brings intelligence into the environments where people live and work. It opens the possibility of physical assistance that expands human capability and takes on difficult or dangerous tasks. It also tests how intelligence translates into action—through perception, movement, and continuous learning from the physical world.
Across these fields, we see connected questions: how to act correctly, govern responsibly, improve lives, and extend human capability. What we learn will shape Helium, and what we build will help us investigate further.
Build what comes next with us.
We welcome conversations with researchers, builders, and businesses exploring what AI makes possible.