prismalOS
The Trust Layer for the Autonomous Agentic Economy
authorised to do
before they act
at runtime
AI agents are acting. Nobody defined what they were allowed to do.
An enterprise AI agent triggered a $50,000 runaway cost incident — acting on incomplete logic with no kill switch, no audit trail, and no pre-deployment validation.
The agent operated for hours before anyone noticed. No governance layer existed to intervene.
xpay.sh ↗✓ No Semantic Standard 0%
standardised
Every organisation invents its own way to instruct agents. Logic gaps are filled by inference — not intent.
⛨ No Pre-Deploy Validation 0
tests before launch
Flaws and compliance gaps are discovered only after agents have already acted on live data and systems.
⌁ No Execution Governance 0
kill switches
No immutable audit trail. No permission boundaries. Regulated industries are fully exposed.
We saw the same failure pattern
across every enterprise deployment.
Nobody was defining what agents were allowed to do before deployment. Every governance tool monitored the aftermath. No one owned the definition layer.
5 Industries. 1 Pattern.
Earned inside enterprise deployments across Blockchain, Real Estate, Travel, FinTech, and Sports & Media Entertainment.
Same Gap. Every Time.
The gap we kept seeing wasn't a model problem. It was a people, process, and governance problem.
No Tool Existed.
Every governance product monitored agents after deployment. Nothing validated logic before the first run.
Every enterprise deploying agents needs a unified
trust layer. None exists yet.
of organisations report risky behaviours from AI agents in production deployments
Obsidian Security / spaceo.ai, 2025
AI governance market by 2030 — spending expected to reach $492M as early as 2026
Gartner, Feb 2026
of agentic AI projects will be cancelled by 2027 due to inadequate risk controls
Gartner, 2025
Mandates audit trails and human oversight for high-risk AI systems. Every enterprise deployment happening now is a reference customer we can own before hyperscalers build this natively.
The Trust Layer for the
Agentic Economy.
We define and enforce agent permissions at the logic level — validating every action against your policies before execution, with integrated human-in-the-loop oversight for high-stakes decisions.
⌖ SYNAPSE
Semantic Intent Layer · Pre-Deploy Safety
Structures every agent's mandate into the WARRANT standard before deployment begins. Every agent validated before it touches production systems or data.
⛨ DAEMON
Adversarial Validation Engine · Compliance Built-In
Adversarially stress-tests business logic so failures are found before agents act. Immutable audit trails and permission boundaries for regulated industries.
⌁ KERNEL
Execution Governance Layer · Runtime Control
Enforces human oversight, audit trails, and kill-switch control at runtime. Human-in-the-loop oversight with kill-switch capability at every execution point.
We are not in a crowded market.
We are creating a new one.
| Consultancies | AI Frameworks | Observability | prismalOS | |
|---|---|---|---|---|
| Pre-deployment intent validation | ~ (Slow/Manual) | ✗ (Trust the developer) | ✗ (Too late) | ✓ |
| Adversarial logic stress-testing | ~ (One-off Pentest) | ✗ | ✗ | ✓ |
| Cryptographic intent locking | ✗ | ✗ | ✗ | ✓ |
| Runtime kill switch + audit log | ✗ | ✗ | ~ (Audit only) | ✓ |
| $29–$149 entry point per audit | ✗ | ✗ | ✗ | ✓ |
The industry has spent billions on Agent Intelligence (the brain) and Agent Observability (the memory).
But Agent Validation — the layer that governs what an agent is actually authorized to do before it acts — remains at $0.
of AI agents are "over-permissioned," holding ~10x more privileges than required for their tasks.
Obsidian Security, 2025 ↗Our Strategic Moat: Data Gravity & Protocol Dominance.
FUNCTIONAL AGENT INTENT &
LOGIC UTILITY FOR RISK EVALUATION
The FAILURE Graph
- ●A Permanently Compounding Institutional Asset: Every DAEMON audit feeds a cross-industry intelligence layer categorized by risk tier and agent architecture.
- ●Superlinear Intelligence: Failure patterns are leading indicators. A vulnerability in a Travel agent today is a neutralized threat in Healthcare tomorrow.
- ●The "Dark Data" Moat: Built from real production deployments under NDA. This data cannot be scraped, purchased, or synthesized — only grown through proprietary audits.
WORKLOAD AUTHORISATION AND RUNTIME RESTRICTIONS
FOR AGENT NORMS AND THRESHOLDS
The WARRANT Open Standard
- ●Category Leadership: v0.1 to be published March 2026. NIST AI RMF aligned. MCP compatible. github.com/pathmaven/warrant
- ●The Adoption Flywheel: As WARRANT becomes the industry language for "Safe AI," prismalOS remains the definitive reference implementation.
- ●The Regulatory Inevitability: When regulators demand proof of "Authorized Intent," WARRANT is the framework they use. prismalOS is the turnkey path to compliance.
One buyer. A very specific problem.
Role: Head of AI, CISO, or Chief Compliance Officer at a regulated mid-to-large enterprise.
The Situation: Agents are already in the wild (or "Shadow AI" is). A senior executive has been handed the "Governance Mandate."
The Trigger: They need to demonstrate deterministic control before a Board meeting, a Tier-1 audit, or a regulatory filing. They are looking for Evidence of Oversight.
Travel: Mission-Critical Logic
The Risk: Agents coordinating multi-modal travel (Air/Rail/Hotel) can strand travelers or violate safety mandates by misinterpreting scheduling data.
The Fix: Pre-deployment Stress-Testing of agent reasoning. We validate that logic stays within "Safety Norms".
Finance: The SOX/Regulatory Mandate
The Risk: Non-deterministic "reasoning" that fails auditability.
The Fix: WARRANT-backed audit trails that turn probabilistic agent thoughts into immutable compliance records.
Media & Production: IP Defense
The Risk: Content agents violating Amazon/Netflix production contracts or leaking sensitive IP.
The Fix: Strict runtime restrictions on data-sourcing and output logic to prevent contract breach.
Healthcare: Provable Patient Safety
The Risk: Patient-facing agents giving medical advice or handling PII without a "Guardrail" that can be legally defended.
The Fix: Pre-deployment validation of diagnostic logic paths to ensure HIPAA/Clinical adherence.
Land with DAEMON. Expand with KERNEL.
Scale with SYNAPSE.
$29–$149 per adversarial audit. Comparable consultancy engagements cost $20,000–$60,000+.
This is not a price competition. It is a category elimination.
Proof before promotion.
Travel
Sports & Media
Screen & Production
WARRANT v0.1
Built by Architects of Entropy.
Combined experience spanning the exact intersection this product requires: human intent, systems architecture, and enterprise infrastructure.
The Operators (Co-founders)Ciprian Irimies — focusing on Human Intent
The Methodology: 19 years at the intersection of behavioral science and systems, codifying how messy human intent dissolves into machine logic.
The Concept: Defined the SYNAPSE-Pillar Framework and FAILURE Graph from first principles to map cross-industry risk patterns into leading indicators.
The Standard: Co-Author and Conceptual Architect of the WARRANT Open Standard, the first "Workload Authorisation" protocol for deterministic agentic governance.
Lucian Lungu — focusing on Machine Execution
The Scale: 20+ years deploying production-grade cloud and DevOps systems for high-stakes financial and gaming environments.
The Infrastructure: Infrastructure Architect of KERNEL's execution layer and DAEMON's adversarial swarm, translating rigorous logic into deterministic always-on systems.
The Standard: Co-Author and Technical Architect of the WARRANT Open Standard, ensuring the protocol remains MCP-compatible, scalable, and performance-optimized.
James Murphy
Role: Strategic Growth Partner.
Why: Leveraging a deep network to secure the first 50 Enterprise pilots.
Scott Bagby
Role: Market Pioneer & Scale Specialist.
Why: Navigating the world's most complex regulatory and localized infrastructures.
Andreja Cobeljic
Role: The Institutional Strategist.
Why: 20+ years at Goldman Sachs and UBS codified into our core logic.
The Network Is Already Live.
POC in testing. MVP imminent. Verbal LOI from a Travel SaaS company.
Converting high-margin Service IP (Consulting) into scalable Software Protocols (Code).
We codify two decades of experience delivering results for category-defining brands.
We didn't just guess the rules. We defined them, by working with the best.
From first pilot to full platform.
90-Day Sprint
Q2 — Q3 2026- DAEMON MVP
- LOI: Verbal to Signed
- WARRANT v0.1 on GitHub
- Accelerators applied
First Revenue
Q3 — Q4 2026- 3 paying pilots signed
- Pre-seed closed
- First sales hire
- WARRANT v0.2 published
Scale & Seed
Q4 — Q1 2027- Annual contracts converting
- KERNEL beta launched
- 10+ pipeline logos
- Seed round opened
Full Platform
Q1 — Q2 2027- SYNAPSE commercial launch
- 20+ customers
- Series A preparation
- Standards body engagement
The category doesn't exist yet.
We're building the standard
that defines it.
First mover in pre-deployment agent validation. The beachhead before the hyperscalers arrive.
Pre-seed round.
$250k–$500k · SAFE · $3M–$5M cap.
Product Build
DAEMON in production. Close the first annual contract. KERNEL scoping complete.
First Hire
Enterprise sales lead hired. First outbound pipeline built in regulated verticals.
Go-to-Market
3 additional pilots signed. WARRANT cited in one regulatory document.
Operations
Legal, entity setup, data room, compliance.
Network
Enterprise AI buyer intros in regulated industries: finance, healthcare, legal.
Coaching
Lead investor coaching on pre-seed to seed conversion and market adoption.
Standards Credibility
Connections to AI standards bodies, NIST working groups, and EU AI Act advisors.
The enterprise AI agent deployment
we cannot afford to get wrong
is happening now.
prismalOS is the governance infrastructure that makes safe agentic deployment possible at enterprise scale.