The Engine for Verifiable Certainty.

Stop Reacting to Claims. Start Predicting Them.

Zenprexi is an InsurTech AI company. Our (Patent Pending) engine is the first platform to give carriers what they've never had: real-time adherence data on their highest-risk clients.

We identify the human-factor precursors to a $500M catastrophe, so your team can act first.

The Underwriter's $500M "Data Gap"

Commercial carriers are "flying blind." They price risk using 100% static, historical data (Prior Art). They have zero visibility into their client's real-time adherence—until after the catastrophic claim is filed. Studies show that 80-90% of workplace accidents are due to human error (Sabentis/TapRooT).

The "Black Box" Problem

Static risk scores (SRS) are opaque, often biased, and tell you what happened, not what is happening. An underwriter can't tell if their "high-risk" client is currently compliant or not.

The "Alert Fatigue" Problem

Legacy systems create enormous false positives (up to 98% in some safety applications). Supervisors waste time and resources (avg. 32 minutes per false lead) investigating non-actionable alarms.

The "Human Error" Liability

The most expensive claims (e.g., Deepwater Horizon) are not equipment failures; they are human adherence failures. No system exists to predict and pre-empt them.

Our (Patent Pending, Comprehensive Claims Drafted) IP: The Adherence Engine

Our platform is the first to synthesize static, active, and passive data to create a single, explainable adherence score.

ZBT™

Zenprexi Behavioral Telemetry

The Data Source. Our proprietary data stream synthesizes Active (checklist), Passive (sensor), and Client API Data (Claim 3). Key metrics: Adherence Momentum Coefficient and Input Reliability Decay.

CARI™

Contextual Adherence Reliability Index

The Engine. The core algorithm generating a real-time 'confidence score' (0-100%) that validates the risk and eliminates false positives. A 2025 academic review (Dabkowski et al.) confirmed this "dual-approach" is the tool that "no one tool" currently provides.

PANT™

Prioritized Actionable Next Task

The Action. The explainable task delivered to the human, linked directly to an Integrated Resource Marketplace (Claim 6).

Our GTM: The "Risk-Innovation Triangle" (B2B2B)

Our strategy is not a simple B2B sale; it's a scalable B2B2B model. We use proven ROI to create a Structural Mandate for the Carrier.

1

LAND

We sign a "Whale" Carrier (e.g., Chubb) for a paid pilot to monitor their highest-risk client. The Carrier pays the Strategic ACV to invert their liability.

2

PROVE

We use irrefutable data—including Client API Data—to generate a Cost of Failure Averted (COFA) Report showing verified, multi-million dollar ROI.

3

SCALE

The Carrier converts to an enterprise license and mandates our platform for their 10,000 clients at $18,000 ARR per client. The Carrier becomes our sales force.

The Zenprexi ROI: From Data to Dollars

Our platform provides immediate, verifiable ROI by focusing resources *only* on high-certainty risks.

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Avg. Industrial Downtime Cost

(Per Hour / Large Enterprise)

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Incident Reduction (TRIR)

(Potential w/ EHS Software)

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User Engagement (ZBT™) Rate

(Target vs. B2B App Average)

The CARI™ Advantage: Why We Are Superior

Current monitoring systems are reactive and inefficient, triggering "Alert Fatigue" that wastes supervisor time on low-risk false alarms. Studies show over 85% of alerts are clinically non-actionable. Zenprexi eliminates this resource drain by quantifying its own predictive certainty.

We utilize our patented CARI™ to ensure resources are deployed only where risk is High AND Certain. This synthesis of Risk (SRS) and Confidence (CARI™) is the core technological moat that guarantees measurable ROI.

ROI: The Platform Impact

Industrial Safety (CatastropheGuard™)

Initial Failure Cost (Status Quo)
CARI™ Filter Saves (False Alarms)
Zenprexi Intervention Cost (Residual)
Net Cost Avoidance (ROI)

Sources: [1] Siemens (2024) & Gartner (2024) report avg. industrial downtime costs from $500k to $2.3M per hour. [2] NAEM & OSHA report EHS software can reduce incident rates (TRIR) by 20-40%. [3] ASM Consortium (2018) guidelines on industrial alarm management. [4] Sabentis (2025) & REWO (2024) report 80-90% of accidents are human error, and legacy systems generate up to 98% false alarms, wasting 32 mins/false lead.

A True Platform for Adherence

Our engine is a universal model for human risk. After dominating InsurTech, our platform is built to expand into every high-adherence vertical through our carrier partners.

Zenprexi | Industrial Catastrophe

(GTM FOCUS)

Failure Event:
Industrial Accident, Catastrophic Line-Stop.
ZBT™ Data:
Safety check-ins, passive IoT sensor data, geofencing.
PANT™ Output:
Alert Safety Supervisor + Recommend Site Lockdown.

Zenprexi | Health Adherence

(Expansion Market)

Failure Event:
Hospital Readmission or Malpractice Claim.
ZBT™ Data:
Pain logs, adherence, passive Wi-Fi scale & pill bottle data.
PANT™ Output:
Alert Nurse + Recommend Telehealth Provider.

Zenprexi | Digital Compliance

(Future Growth)

Failure Event:
Organizational Compliance Breakdown (e.g., Unpatched Software).
ZBT™ Data:
Compliance Dashboard Logs, Patch Adherence Score, and Security Sign-off Latency.
PANT™ Output:
Alert CIO/CISO + Mandate System Lockout until Patch Completion.

Explore New Verticals with AI

Test the scalability of the Zenprexi Engine. Enter an industry below (e.g., "Aviation" or "Logistics") to see how our IP can be applied.

Founder-Market Fit & Advisory

Michael Peck, Founder & CEO

Michael Peck

Founder & CEO

Dr. Mark Dean, Sr. Strategic Advisor

Dr. Mark Dean, PhD.

Sr. Strategic Advisor (IBM Fellow)

The synthesis of our core business model is rooted in deep domain expertise and high-level technical authority.

  • Founder-Market Fit: Mitigates Enterprise Sales Risk via complex contract fluency, accelerating the B2B2B mandate GTM.
  • IP Validation: Dr. Dean provides the technical guidance required to defend the 39 utility patent claims and future-proof the CARI™ engine architecture.