Make the effects of decisions easier to understand.
Help teams distinguish what changed after an action from what changed because of it, with evidence, assumptions, and limitations clear enough to test and review.
Rung2AI
Our mission and vision
Rung2AI is building CausalGraphOS to help teams move beyond what happened and ask what changed because they acted.
Consequential decisions grounded in what causes outcomes.
A world where teams can question a convincing number, examine what an intervention could change, and explain the reasoning behind their decision.
Our belief
Good decisions need visible reasoning.
Organizations have no shortage of data about what happened. The harder question is what may have caused it, what could change it, and how much confidence the evidence deserves.
We believe assumptions should be visible and open to review, especially when a decision has to be defended to a committee, a client, or the people affected by it. CausalGraphOS brings evidence, analysis, and decisions into a traceable case so domain experts can challenge the reasoning and stay accountable for the call.
Work with the assistant your team already uses.
Teams can bring assistants such as Claude and ChatGPT into approved case context through MCP-based workflows, use A2A for progress and controlled handoffs, or connect applications and services directly through APIs. These are complementary paths, with people in control of consequential decisions.
Customer data is separated by tenant. Users and connected assistants can access only authorized cases, and assistant access is read-only and limited to approved case context.
Help shape the questions it answers.
We’re looking for design partners with a consequential decision and a clear-eyed view of what a useful answer needs to show.