Nemo Flow Systems develops execution-governance and continuity systems for AI-assisted workflows. Our work separates intelligence, authority, continuity, and execution so consequential action remains bounded and provable.
The public site explains what each system does without exposing private mechanism, repository structure, internal receipt formats, or implementation details.
DPI is the foundational research architecture. It frames how purpose, authority, evidence, and governed intent should remain distinct before action is considered.
PBE evaluates proposed consequential actions before execution and produces a deterministic ALLOW, HOLD, or REFUSE result inside a declared boundary.
UCA preserves exact mission state, checkpoints, hard stops, completed evidence, and the next eligible gate across sessions without creating new authority.
PBE and UCA have crossed into functioning controlled prototypes. The public claim remains intentionally narrower than the private work.
A bounded action passed through authority evaluation, received an ALLOW decision, executed through the authorized adapter, produced authorization and completion receipts, and passed independent verification.
The systems are real and functioning in controlled environments. They are not represented as finished commercial infrastructure.
Use the local self-test to identify where an AI-assisted workflow may cross from suggestion into consequence without enough authority, payload control, state validation, replay protection, bypass resistance, or evidence.
Local only. No data submitted.
Every cycle should leave more proof than when it started.