About Cadentis

Infrastructure projects deserve an operating picture.

Cadentis builds operational intelligence for clean energy development on an AI ecosystem of reasoning, evaluation, and safeguards.

Working principle

Reality first. Evidence before inference. Human authority at the point of action.

Operational intelligence, built on an AI ecosystem.

Behind Stratum, Cascade, and Anticipate is one backend: a reasoning agent over project state, an evaluator that grades its work, and a defense layer for model inputs. Cadentis’s founder also publishes Anubis, an open-source governance gate for consequential AI agent actions. Cadentis connects physical infrastructure, project dependencies, deadlines, and public signals so development teams can see where risk propagates and where human action has leverage.

Built from first principles.

The company applies a physics instinct to project development: find the relationship that governs the outcome, make it legible, and act before the risk compounds.

Decision support with clear boundaries.

Cadentis may organize evidence and model supported dependencies. It is built toward staging proposed action for confirmation, not replacing it: qualified professionals and authorized project owners retain judgment and approval.

Projects move across organizations.

Developers coordinate with grid operators, utilities, advisers, vendors, capital providers, agencies, and communities. Cadentis represents those relationships through supported obligations and deadlines.