When AI Acts,
Governance Must Act With It.
Make AI Governable.
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.
Designed for CISOs, risk leaders, and counsel, the platform aims to reduce operational risk and strengthen oversight of high-consequence AI.
Executive briefings and advisory engagements are available now.
Documentation iS NOT
Control
Measure What Matters
From Governance Intent to Control Evidence
When AI takes a consequential action, who can intervene, under what authority, and what record shows what happened?
Piscys is being designed to help enterprises answer those questions — and assess whether their safeguards are working.
AI Trust Metrics
Designed to measure risk exposure, intervention timing, and override patterns — helping teams assess whether safeguards are responding as intended.
Measure how effectively safeguards respond.
Assurance Dashboard
Designed to give security, risk, and executive teams a shared view of significant events, unresolved issues, and decisions requiring accountable review.
Bring the right decisions into view.
Regulatory Framework Mapping
Designed to connect controls and supporting records to relevant frameworks and requirements, including NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Piscys supports implementation; it does not certify compliance.
Connect oversight to external expectations.
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: Trace the Action
Intervention: Apply Safeguards
Custody: Govern Authority
Constraint Polyphony is Piscys’ approach to evaluating consequential AI actions through multiple independent lenses — including evidence quality, proportionality, and decision authority.
Designed to work across the three engines, it helps assess whether an action is supported, whether intervention is warranted, and who is authorized to decide.
Healthcare Concept Prototype
Explore the Governance Experience
Illustrative scenario and metrics. The platform is under development.
Select a tab to explore. Click an image to enlarge.
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 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.
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.
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.
When AI Acts,
Governance Must Act With It.
Make AI Governable.
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.
Designed for CISOs, risk leaders, and counsel, the platform aims to reduce operational risk and strengthen oversight of high-consequence AI.
Executive briefings and advisory engagements are available now.
Documentation iS NOT
Control
Measure What Matters
From Governance Intent to Control Evidence
When AI takes a consequential action, who can intervene, under what authority, and what record shows what happened?
Piscys is being designed to help enterprises answer those questions — and assess whether their safeguards are working.
AI Trust Metrics
Designed to measure risk exposure, intervention timing, and override patterns — helping teams assess whether safeguards are responding as intended.
Measure how effectively safeguards respond.
Assurance Dashboard
Designed to give security, risk, and executive teams a shared view of significant events, unresolved issues, and decisions requiring accountable review.
Bring the right decisions into view.
Regulatory Framework Mapping
Designed to connect controls and supporting records to relevant frameworks and requirements, including NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Piscys supports implementation; it does not certify compliance.
Connect oversight to external expectations.
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: Trace the Action
Intervention: Apply Safeguards
Custody: Govern Authority
Constraint Polyphony is Piscys’ approach to evaluating consequential AI actions through multiple independent lenses — including evidence quality, proportionality, and decision authority.
Designed to work across the three engines, it helps assess whether an action is supported, whether intervention is warranted, and who is authorized to decide.
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 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.