See the shape of the interaction.
RightMinds builds geometric observability and analysis for relational dynamics: how influence travels, decays, amplifies, and changes direction across human-AI interactions, AI-AI exchanges, and multi-party agent networks. See not just what happened, but how participants shape what can happen next.
Explore the productsResearch release · RM-EXP-016 · Public prototype V0.01
A public Maxwell research surface for exploring relationships and tracing them to source records. Working internal analysis in approximately 48 hours; public prototype in five days. The original findings belong to the source researchers. Our investigation continues.
Build relationships that permit cooperation. Build instrumentation that does not require faith.
Our view on trustOrbital brings observability to AI conversations. Maxwell supports investigation across connected evidence. Both are pre-release.
Pre-release · Internal research
Local-first conversation history and interaction exploration. Public-release functionality is being narrowed as sensitive analysis moves into Maxwell. Bounded trials may be considered where the client environment is suitable.
Working research instruments. Methods are experimental and validation remains very incomplete.
Explore OrbitalPre-release
Behavioral observability across connected participants, messages, and artifacts. Explore the public RM-EXP-016 research surface while sensitive analytical capabilities are being developed server-side.
Working research instruments. Methods are experimental and validation remains very incomplete.
Explore MaxwellIndividual records tell part of the story. Their distances, connections, direction, and movement over time reveal patterns that are difficult to inspect one record at a time.
Explore which threads, participants, and artifacts connect. Compare neighborhoods and follow a relationship back to its supporting observations.
Inspect how topics and frames move over time. Compare periods and participants to see continuity, divergence, and shifts in direction.
Examine which participant appears to shape an interaction, and how that balance changes across turns.
Investigate which semantic directions survive an exchange, which weaken, and how an interaction transforms what passes through it.
Examine what happens when influence returns through a feedback loop: what persists, what fades, and what becomes amplified.
Study how participants move together or diverge, and how dependencies and coordinated patterns develop across multi-party interactions.
A graph is a starting point for investigation. Useful analysis lets you inspect underlying turns, messages, timestamps, and relationships, understand what a measurement represents, and distinguish an observed connection from an inferred association.
How the analysis worksResearch, product analysis, and effective governance depend on understanding what is happening. RightMinds supplies an observability and analysis layer: evidence people can examine, question, and use. Decisions about intervention remain with the people responsible for the system.