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
Working analysis in approximately 48 hours. Public prototype in five days. Explore Maxwell's deterministic, portable report with hashed data provenance and chain of custody. 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
Local-first AI interaction observability. Explore cross-platform conversations, follow relationships between threads, inspect trajectory changes, and see who appears to be steering while retaining control of your history.
Already producing surprising results in ongoing research. Findings and methods continue to be investigated and refined.
Explore OrbitalPre-release
A geometric observatory for connected evidence. Explore participants, messages, and artifacts through relationship views, then inspect the observations supporting a connection.
Already producing surprising results in ongoing research. Findings and methods continue to be investigated and refined.
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.