Summit Ai

Summit Ai

Where context runs the room.

Agents do the rest.

Black and white image of mountain

Enterprise Intelligence & Action, With Context

Summit lives quietly inside your walls. It learns how your organisation actually runs, then coordinates a set of discreet assistants that carry work from request to result. Screens recede, exceptions rise to the surface, and accountability stays clear. People keep the judgement, the busywork moves itself. And with every cycle, the system gets a little smarter.


H(Work | Context, Memory, Policy) → 0 ∧ ∑agentsᵢ → flow ∧ O(n²) → O(n)

Over time the conditional entropy of work given context, memory and policy tends to zero. The aggregate of specialised agents converges to a closed loop that delivers steady flow. Coordination complexity collapses from O(n²) to O(n). The result is lower uncertainty, higher throughput and calmer operations with audit and control intact.

Legend: H = Shannon entropy. ∑agents = distributed controller. O(·) = coordination complexity.