SignalGraph: A New Architecture for Enterprise Attention

Signal Labs CEO Rajeev Ronanki introduces SignalGraph™, a distributed blackboard architecture that treats signals, not data, as first-class primitives for enterprise decision-making.

Most enterprises don't have a data problem. They have an attention infrastructure problem. Too many signals, no shared substrate for deciding which ones matter, when.

Signal Labs CEO Rajeev Ronanki and Chief Architect Plamen Petrov, PhD published a new paper formalizing SignalGraph: a distributed blackboard-based architecture that treats signals as first-class computational primitives, augmented by an Equilibrium Engine that enforces information-theoretic constraints at every inference boundary. The paper extends Signal Labs' white paper thesis: the binding constraint on institutional decision-making is not data or models, but the absence of a shared substrate for convening attention across domains under uncertainty.

Read the paper:
SignalGraph: A Distributed Blackboard Architecture for Convening Enterprise Attention with Equilibrium-Governed Inference →