When AI Acts,
Governance Must Act With It.

Make AI Governable.

01 / The Assurance Layer for AI

Runtime Governance for High-Risk AI Systems

Piscys is building an independent control layer between AI systems and consequential action. For consequential AI, governance must control not only what the system may do, but who is authorized to decide when the stakes change.

Designed for CISOs, risk leaders, and counsel, the platform aims to reduce operational risk and strengthen oversight of high-consequence AI.

Available Now — Executive briefings, readiness assessments, and implementation design for high-risk AI workflows. 

Platform capabilities remain in development.

Schedule an Executive Briefing — explore how Piscys can govern high-risk AI.

Documentation

iS NOT

Control

02 / Measure What Matters

From Governance Intent to Control Evidence

When AI takes a consequential action, who is authorized to intervene, override, approve, or accept the remaining risk — and what evidence proves that authority was exercised correctly?

Piscys is being designed to help enterprises answer those questions — and assess whether their safeguards are working.

nighttime financial risk committee workspace, two professionals reviewing a visible financial risk display, glass boardroom, calm high-trust atmosphere

AI Trust Metrics

Designed to quantify runtime governance through Exposure Minutes, intervention timing, override patterns, and control health — showing whether safeguards are responding as intended.

Measure how quickly governance contains risk.

Exposure Minutes

Piscys’ primary operational metric for how long material AI risk remains active before accountable containment — giving teams a clear measure of governance responsiveness.

Reduce the time risk remains exposed.

Assurance Dashboard

Designed to give security, risk, and executive teams a shared view of significant events, interventions, unresolved issues, accountable decisions, and supporting evidence. Identifies where attention is needed.

Bring the right decisions into view.

Control & Framework Mapping

Designed to connect controls and evidence to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and relevant requirements. Helps teams connect internal safeguards to external expectations and audits.

Connect oversight to external expectations.

03 / Inside The Platform

Three Engines.
One Governance Loop.

The platform architecture connects records of AI activity, proportionate safeguards, and accountable decision authority through three coordinated engines.

Provenance Engine: Auditable Action Ledger

Designed to capture context, constraints, and rationale in cryptographically verifiable records, supporting reconstruction and review of consequential AI actions.

Intervention Engine: Active Safeguards

Designed to slow, constrain, escalate, pause, or block AI actions when defined risk thresholds are crossed, with responses proportionate to the situation.

Custody Engine: Governed Authority

Designed to make decision authority explicit and enforceable — defining who may set constraints, approve overrides, and accept residual risk, with auditable records of each decision.

04 / Shared Evaluation Layer

Constraint Polyphony Connects the Governance Loop​

Multiple evaluative channels converging on a single governed AI decision, representing Constraint Polyphony across the governance loop.

Constraint Polyphony is Piscys’ shared evaluation method for consequential AI actions. Across Provenance, Intervention, and Custody, it examines the same action through multiple independent lenses — including evidence quality, proportionality, and decision authority — to assess what is supported, what response is warranted, and who is authorized to decide.

Those evaluations feed AI Trust Metrics and the Assurance Dashboard — translating runtime governance into measurable signals that help security, risk, and executive teams see whether safeguards are working, how interventions are being applied, and where accountable human authority enters the loop.

05 / Healthcare Concept Prototype

Explore the Governance Experience

Illustrative scenario and metrics. Platform in development — advisory services available now.

Select a capability to explore. Click any screen to enlarge.

06 / Design Partner Opportunities

Are You Building or Deploying AI in a Regulated Environment?

Work with Piscys to identify oversight gaps in a priority AI workflow, define intervention and approval requirements, and shape assurance capabilities around your operational needs.

We are seeking design partners in financial services and healthcare.

Our Initial Focus

Financial Services

Healthcare

07 / Our Approach

Operational Governance Across the AI Lifecycle

Piscys’ approach is informed by the four functions of the NIST AI Risk Management Framework: Govern, Map, Measure, and Manage. Governance informs every function as systems, risks, and operating conditions change.

Govern

Define accountable roles, risk tolerances, approval authority, and escalation policies that guide oversight throughout the AI lifecycle.

Map

Identify the workflow, systems, data, and affected stakeholders to understand where consequential risks may arise.

Measure

Assess identified risks and evaluate safeguards using relevant metrics, testing, and documented findings.

Manage

Prioritize responses, apply proportionate controls, and monitor residual risk as systems and operating conditions change.

08 / Our Network

Ecosystem

Strategic programs, technology ecosystems, and industry relationships supporting Piscys’ development and market readiness.

NVIDIA Inception Program

A global startup ecosystem supporting companies building innovative AI technologies.

Piscys is a member of the NVIDIA Inception Program.

09 / Contact Us

Let's Discuss Your AI Governance Priorities

Request a founder-led executive briefing to discuss a consequential AI workflow, identify oversight gaps, and explore practical next steps.

For design partnerships or other inquiries, tell us what you have in mind.