Light enough to rise. Built for the heavy lifting.

Businesses distribute their knowledge and work across many systems. Decisions happen in conversations, context lives in documents, and execution moves between people and applications. Helium brings these resources together, so human and artificial intelligence can act with shared understanding.

People and AI may participate as colleagues, specialists, or customers. Established software carries proven capabilities into new ways of working.

We expect AI to change more than individual applications. As intelligence becomes capable of working across them, the boundaries between tools, processes, and roles will change. Helium explores that convergence: how an enterprise can operate as a connected whole while preserving the boundaries that matter.

Useful organizational memory includes what was decided, why it was decided, and the evidence behind it. It must distinguish a suggestion from a decision, an external claim from an observed result, and an old assumption from current understanding.

This continuity is central to Helium. Conversations and contributions inform shared knowledge; that knowledge guides work; the results become evidence for what happens next.

A conversation can lead to a specification. A research finding can change a plan. An agent can carry out work within its authority, ask for missing information, and bring a decision back to a person.

These are the connected workflows we are investigating across software development, research, and business operations. People train AI, AI trains people, and AI trains AI—improving the systems through which they work.

Our own work connects project knowledge, research, contributions, and agent-assisted inquiry. It gives us a practical setting to evaluate ideas, test assumptions, and use the results to guide Helium.