Empirical Validation & Protocol Inquiry

Research made executable.

Trivian began with a research question:

"What becomes necessary when intelligence is no longer operating alone?"

That inquiry became architecture. The architecture became software. Now we are testing what survives contact with real systems.

Methodology

Deliberate Falsification Over Passive Claims

Development at Trivian is accompanied by active falsification: deliberate attempts to determine where the architecture fails to distinguish the behaviors it claims to represent.

"That distinction matters. Implemented is not the same as validated."

TRIA and the Rosetta execution layer are under active experimental validation, subjected to edge-case stress tests where conventional probability-based moderation collapses.

01

Boundary Failure Tests

Stress testing scoped tool permissions across autonomous agent clusters.

02

Drift Isolation

Measuring context decay and semantic degradation across multi-turn sessions.

03

Authority Revocation

Verifying that stale permissions cannot be repurposed by memory caches.

Core Research Vectors

Investigative Domains

Where our researchers and engineering teams are expanding the state of the art in relational telemetry.

Trustworthy AI & Safety

Grounded in NSF AI7 standards, we investigate non-probabilistic safety envelopes that enforce regulatory boundaries before model outputs hit consumer interfaces.

NSF Solicitation 26-510 Track

TTP-1 Protocol Specification

Defining universal machine-readable contracts and deterministic enforcement tokens that serialize decision logic into immutable audit ledgers.

Open Protocol Standard

Relational Dynamics & Multi-Agent Scope

Mapping how multi-agent clusters delegate tasks, negotiate disputes, and preserve provenance when reasoning steps span external network boundaries.

Agent Registry Research

An Open Foundation

The TRIA SDK and portions of the surrounding governance infrastructure are publicly inspectable. Researchers and developers can examine the implementation, reproduce test suites, challenge assumptions, and build against the foundation.

Collaborate on Relational AI Research.

We welcome collaboration around TRIA, human-AI interaction, agent governance, falsification protocols, and public interest tech.