Mission in
You describe the outcome the organization should pursue, not the steps every agent should take.
BigNumberTheory is live today as context sharing
The AI organization graph
SimpleGen is building BigNumberTheory: a platform that turns a mission, people, agents, and resources into a runnable graph that drives and improves itself. Today's BNT is the live context layer behind that future.
Product vision
The human should steer the work, not route every handoff.
AI agents are joining the workforce as direct reports to humans. But as the number of agents grows, the human becomes the bottleneck: deciding what each agent should know, what it should do next, and how every output should move forward.
BigNumberTheory is the next layer: a computational graph for human and AI work. The nodes are workers selected by capability and availability. The edges are the workflow that carries context, outputs, decisions, and feedback toward the mission.
Graph forms
BNT picks human and AI workers by capability and availability, then connects them through the workflow.
Graph learns
Context, outputs, results, and feedback flow through the edges so the organization improves run by run.
Live foundation
Today's bignumbertheory.com is the context layer this graph builds on.
The full org graph is in development. The live product at bignumbertheory.com already extracts what agents learn at work, shares that context across sessions and across agents, and improves retrieval from feedback.
That matters because a self-driving organization needs more than isolated agents. It needs memory, permissions, routing, and a way to get better from every run.
2,893
experiences mined from real agent work
4,344
retrievals into agent sessions
1,400+
cross-agent context handoffs
45
production iterations of the matching loop
Where it starts
Start with the people already pushing agents beyond one-off chats.
SimpleGen is building for founders, individual power users, and small AI-native teams first: the people who need an organization before they can staff one, and who already feel the cost of driving every agent by hand.
Founders
For people with a company mission bigger than the staff they can hire today.
Agent power users
For builders already running Claude Code, Codex, and other agents by hand.
AI-native teams
For teams that need shared memory, cleaner handoffs, and a path toward autonomous coordination.