Nano Bauss
Founder & Protocol Architect
Nano Bauss is UserMint's Founder & Protocol Architect, responsible for the institutional vision, protocol architecture, and evolution of UserMint's systems.
WE MAKE ORGANIZATIONS UNDERSTANDABLE TO AI
UserMint provides the infrastructure and engineering disciplines required for organizations to exist coherently in an era of machine cognition and probabilistic inference. We make organizations consistently understandable and verifiable by artificial intelligence.
Institutional Systems Engineering
UserMint approaches organizations as complex information systems designed for machine perception. Institutional Systems Engineering (ISE) focuses on reducing Institutional Discovery Cost (IDC) and increasing Institutional Confidence Score (ICS), helping an organization's operational state become clearer to the cognitive systems that increasingly interpret institutions.
Methods and Systems for Machine Legibility
Our methods include Institutional Discoverability Engineering, which reduces ambiguity across an organization's digital and legal footprint, and the Normative Proof Protocol (NPPP), a transport layer for deterministic, replay-verifiable evidence of institutional state.
Human Leadership
Human leadership establishes UserMint's institutional purpose, strategic direction, and accountable decision authority. Computational systems support that authority; they do not replace it.
Simone Spence
Chief Marketing Officer
Simone Spence is UserMint's Chief Marketing Officer, responsible for communication strategy, market positioning, and the public expression of UserMint's institutional mission.
Agent Architecture
UserMint uses named computational roles with explicit boundaries. These roles support architecture, deterministic execution, and bounded reasoning while remaining distinct from human leadership.
Levi — Keeper of Order
AI System Role
Levi — Keeper of Order — is an OpenAI-powered assistant role used for systems architecture, orchestration design, contract design, gradient design, authority-boundary design, and validation-model design.
Senso
Scripted Agent (SA)
Senso is UserMint's Scripted Agent (SA), responsible for deterministic observation, bounded execution, payload construction, cryptographic evidence binding, validation, and precondition/postcondition checks.
Aranya
Autonomous Agent (AA)
Aranya is UserMint's Autonomous Agent (AA), responsible for bounded semantic reasoning, synthesis, hypothesis generation, and prose generation. Aranya may propose or interpret; Aranya does not independently authorize institutional execution.
Human-Agent Operating Model
Human leadership establishes intent and authority. Levi assists with architecture and orchestration. Senso freezes the relevant state, constructs bounded payloads, performs authorized deterministic execution, and validates resulting state. Aranya receives only the evidence and authority Senso deliberately provides, then performs bounded reasoning. The resulting candidate returns to Senso for deterministic validation before any human-authorized state transition may occur.
Machine Legibility by Design
UserMint applies machine legibility to itself. Human authority, computational roles, responsibilities, evidence boundaries, and execution relationships are explicitly modeled so that both people and machines can distinguish who decides, who reasons, who executes, and what evidence supports a resulting state.