Zenprexi Bio-Risk™ · For motor carriers

Know which drivers are ready — before dispatch.

Zenprexi Bio-Risk™ scores driver physiological readiness continuously and resolves it into a banded signal dispatch can act on — before the truck rolls, not after the event report. The outcomes it is built to move are the ones your safety organization already owns: fatigue events, preventable crashes, CSA BASIC performance, and driver retention.

See the pilot program
The void

You already measure two of the three signals that decide whether a run goes wrong.

A complete operator-state picture has three components. Fleets have mature instrumentation for two of them. The third — physiological readiness during the work period — has been structurally invisible to dispatch until now.

Signal one · Vehicle behavior

ELD & telematics

Speed, hard braking, cornering, lane discipline, hours of service. Captured at the vehicle. A mature category — most fleets have run it for a decade or more.

What it reveals: how the truck was driven.
What it cannot reveal: whether the driver should have been driving.
Signal two · Body movement

Ergonomic & coaching telemetry

Posture, lift mechanics, repetitive-motion patterns on the dock and in the cab. Captured by wearables and video. An established loss-control category, especially where workers’ compensation exposure is heavy.

What it reveals: how the body is moving.
What it cannot reveal: whether the body has the capacity to keep moving safely.
Signal three · Physiological readiness

Zenprexi Bio-Risk™

Continuous fusion of heart-rate variability, cardiovascular load, movement coordination, and sleep debt — resolved into a banded readiness state on a normalized 0–100 scale.

What it reveals: whether the driver is ready right now.
And critically: the confidence in that estimate, before any intervention is dispatched.

Telematics tells you how the truck was driven. Bio-Risk™ tells you whether the driver should roll.

One is a record of the trip. The other is a decision you can make before the trip starts. They are not substitutes — the readiness signal sits upstream of every system you already run.

Driver adoption

The first question every safety director asks — and the architectural answer.

“My drivers will never wear a company health tracker.”

They are not being asked to. The company never receives a health record. Raw heart-rate variability, sleep data and numeric scores stay on the driver’s device and are never transmitted. What reaches your dispatch system is a banded operational signal — green, yellow or red — that the driver authorized and can revoke. The credential belongs to the driver, not to the carrier.

Tier 01 · Edge

Raw biometrics never leave the device

HRV, heart-rate, accelerometer data, and behavioral telemetry are processed on-device. The transmission boundary is downstream of calculation — there is no upstream copy to request or disclose.

  • 14–30 day individual baseline calibration
  • On-device CARI™ computation
  • BIPA, GDPR, HIPAA-aligned architecture
Tier 02 · Driver-authorized

The driver grants access, and can withdraw it

Participation is opt-in and the authorization is revocable. Withdrawal propagates within fifteen minutes across every platform receiving the signal. Verification is refreshed continuously through the work period, never stored as a static record.

  • Subject-controlled revocation (15-min propagation)
  • Hash-chain audit logging for integrity
  • Time-bounded — the credential expires by design
Tier 03 · Carrier & platform

Banded signals only, never raw data

Your supervisors receive Green / Yellow / Red operational signals. Not numeric scores, not HRV, not sleep stages. Fleet-level views are aggregated.

  • Prospective firewall architecture
  • Subject-authorized disclosure
  • SOC 2 Type II in preparation

Why a driver opts in

ZBR Verified™ is something the driver earns and keeps.

The same engine that produces your operational signal produces a credential the driver owns. That is the difference between a monitoring program drivers tolerate and one they ask to join.

In spring 2026, 58.1% of drivers surveyed reported actively looking for another driving job — up from 46.8% a year earlier. A credential the driver earns and keeps is designed to work in both directions: as something to hold onto, and as something a good driver can carry to you.

ZBR Verified seal — Worker Readiness Certified, issued by Zenprexi Bio-Risk
Issued by Zenprexi Bio-Risk™
Portable

The credential travels with the driver

A credential earned at your terminal is a universal identifier, not a carrier-specific record. If a driver moves to another ZBR Verified™ carrier, the credential moves too — without re-baseline. Verified drivers are a recruiting argument, not a retention lock.

Revocable

The right to withdraw is architected, not promised

A driver can revoke authorization at any time, and a withdrawn credential resolves to “not found” — the architecture deliberately does not disclose that a credential previously existed.

Bounded

Readiness data stays out of employment decisions

Bio-Risk™ is fitness-for-duty support, contractually scoped away from hiring, termination, wage and discipline decisions. Pilot participation agreements are written to say so in plain terms.

The product

Built, shipped, and running — not a co-development pitch.

The driver application and the supervisor dashboard are complete. A pilot is a deployment of a finished product into your terminal with a defined measurement plan around it — not a build cycle you are asked to fund.

Zenprexi driver application home screen showing Device, History, Log Sleep and Take Break actions above a notice stating that raw biometric signals are processed on the device and are never sent to Zenprexi’s servers or shared with anyone.
Driver view · the boundary, stated in the product The privacy commitment isn’t buried in a policy page. It sits on the driver’s home screen, in the driver’s own words: raw signals are processed on the device, and only a time-bounded readiness status ever leaves it.
Zenprexi driver application history screen showing 500 records across a seven-day range, a risk distribution of 99 percent green and 1 percent yellow with zero red, and a score trend chart plotted against green, yellow and red bands.
Driver view · banded history and trend The driver sees their own scores and the bands behind them. Your supervisors see the band alone — never the number. That asymmetry is the product, not a setting.
What reaches your dispatch system
  • Verified status — a binary, valid for the current work period
  • Readiness band — Green, Yellow or Red
  • Dispatch eligibility, mapped from band by your own policy
  • Data-quality state — whether the signal is currently reliable
  • Aggregate band distribution across the terminal
What never does
  • Numeric readiness or CARI™ scores
  • Heart-rate variability, heart rate, accelerometer data
  • Sleep duration or sleep staging
  • Any medical inference, diagnosis or health record
  • Any permanent physiological record about a driver

The supervisor dashboard is live today. We walk it screen by screen in the pilot conversation — the terminal overview, the intervention queue, and the gated post-incident retrospective channel — against your own deployment shape rather than a canned demo.


Graduated, confidence-gated response

Two scores run in parallel: a Risk Score estimating likelihood, and CARI™ measuring how much confidence to place in it. They are evaluated together rather than in isolation. The system produces three categories of response — from passive monitoring, to a supervisor-facing data-verification request, to a Direct Intervention PANT™ reaching the driver — calibrated so that the strongest action requires the strongest combined evidence.

The result is a system that escalates carefully. False positives don’t reach the driver, and supervisor attention is reserved for events the platform is confident enough to stand behind.

RS Risk Score Likelihood signal CARI™ Reliability Confidence signal Joint Evaluation Confidence-gated synthesis Monitor Passive logging No driver contact Verify Data PANT™ Supervisor-facing Direct Intervention PANT™ Reaches the driver Escalation strength
Two parallel scores. One joint evaluation. Three graduated outcomes — calibrated so the strongest action requires the strongest combined evidence.
Fleet pilot program

A defined pilot, on defined terms, with the success criteria agreed first.

One terminal or division. A fixed window. Written criteria signed before go-live, so the decision at the end is a reading rather than an argument.

Cohort
100–150 drivers Large enough for the readings to mean something, small enough that a single safety organization can run it without standing up a program office.
Scope
One terminal or division A contained operating unit with its own dispatch, its own supervisors, and its own baseline to measure against.
Duration
Six months Long enough to clear individual baseline calibration and observe shift-pattern and seasonal variation — not only a launch spike.
Hardware
Provisioned Polar 360 wearables, included Devices are procured, configured and shipped by Zenprexi and covered by the one-time setup fee. Your team does not raise a purchase order, evaluate a sensor, or manage a hardware vendor.
Success criteria
Written and agreed before go-live Typically a fatigue-event measure, a driver participation rate, and a retention delta against a comparable cohort — each with its definition, its data source and its threshold fixed in writing at the start.
Commercials
Early-access pricing, conversion pre-negotiated Pilot participants price at early-access rates, and the terms that apply on full-fleet rollout are settled at signature rather than renegotiated once you have results. Pricing is discussed directly — we do not publish rates.
Out of scope
Anything that touches employment Readiness data is scoped away from hiring, termination, wage, benefit and discipline decisions by contract. It is fitness-for-duty support for the shift in front of you — not a permanent record and not a performance file.
Questions we get first

The practical answers.

Your platform is sensor-agnostic. Why does the pilot ship with a specific wearable?

Because those are two different statements. The platform is sensor-agnostic by architecture — it ingests from any wearable that exposes raw biometric data, and the business remains a software layer with no device capex in its operating cost. That does not make procurement your problem. Pilot deployments ship with provisioned, fleet-ready Polar 360 wearables, configured and covered by the setup fee, so the pilot starts with zero hardware evaluation on your side. At full-fleet scale you can stay on provisioned devices or bring your own supported sensors — the architecture doesn’t care, and the commercial model doesn’t change.

What does my dispatch team actually see?

A banded readiness state per driver — Green, Yellow or Red — plus a data-quality indicator showing whether the signal is currently reliable. No numeric score, no heart-rate variability, no sleep data. Fleet-level views are aggregated.

Does this replace our telematics or ELD platform?

No. It sits upstream of them. Telematics describes the trip that happened; Bio-Risk™ informs the dispatch decision that precedes it. Nothing in your existing stack is displaced, and integration is a signal feed rather than a migration.

What happens when a driver takes the wearable off?

Wear compliance is treated as a data-quality measure, not driver behavior. When the signal falls below the reliability threshold the credential moves to a suspended state and simply stops producing an operational signal — it does not produce a bad one. Reinstatement is automatic when data quality recovers.

Do you have fleet case studies?

Not yet, and we won’t imply otherwise. The pilot program described above is how the first ones get made. What exists today is a finished product, a patent estate covering the architecture, and a measurement plan we will agree with you in writing before anything is deployed.

Patent canon

Four filed U.S. provisionals covering the engine, the privacy hierarchy, the banded disclosure framework, and the signal architecture.

  • US 63/919,896 Filed Nov 18, 2025
  • US 63/976,499 Filed Feb 5, 2026
  • US 64/064,692 Filed May 13, 2026
  • US 64/065,722 Filed May 14, 2026

Full patent canon →

Company

Zenprexi, Inc. · Delaware C-Corporation · Charlotte, NC. SOC 2 Type II in preparation.

Privacy architecture →

Leadership

The team you would run the pilot with.

A pilot at this stage is run by the founders, not handed to an account manager. These are the people your safety organization would be working with.

Michael Peck

Founder & CEO

Enterprise sales and business development background. Built the demonstration system. Leads pilot scoping and partner relationships.

Suja Mott

Co-Founder & COO

20+ years in risk intelligence and technology delivery. Founded a profitable government contracting firm. Operational discipline for regulated environments.

Marion Newman III

Co-Founder & CTO

25+ years in enterprise IT. Scales MVP to production. Engineering leadership and enterprise security.

Strategic advisors

Dr. Mark Dean

Senior Strategic Advisor

IBM PC co-inventor. 45+ U.S. patents. National Inventors Hall of Fame. Provides IP strategy, technical validation, and enterprise architecture guidance.

Brad Boberski

Strategic Advisor

Insurance industry veteran with deep expertise in the captive insurance market. Holds the CRIS (Construction Risk and Insurance Specialist) designation. Advises on alternative risk transfer structures and carrier-segment strategy.

Start with a pilot conversation.

Thirty minutes, the real product on screen, and an honest read on whether your terminal is the right first one.

How the architecture works

mpeck@zenprexi.com  ·  Charlotte, NC

Sources cited

  1. National Highway Traffic Safety Administration. Drowsy Driving. Estimated $109 billion annual societal cost of fatigue-related injury or fatal crashes. nhtsa.gov/risky-driving/drowsy-driving
  2. Tefft, B.C. (2024). Drowsy Driving in Fatal Crashes, United States, 2017–2021. AAA Foundation for Traffic Safety. Research brief estimating 17.6% of all U.S. fatal crashes (29,834 fatalities) involved a drowsy driver. aaafoundation.org
  3. American Transportation Research Institute (2025). Trucking Litigation: A Forensic Analysis. Analysis of tractor-trailer tort cases, 2013–2023; median nuclear verdict of $36 million in 2022, approximately 50% above the 2013 median. “Nuclear verdict” denotes an award exceeding $10 million. truckingresearch.org
  4. Zenprexi, Inc. U.S. Provisional Patent Application 63/919,896 (filed November 18, 2025). Describes the Risk Score (RS) construct as part of the Bio-OS prognostic engine.
  5. Zenprexi, Inc. Patent filings under US 63/919,896 et seq. Describe the Cognitive Adherence Risk Index (CARI™) and the Prioritized Actionable Next Task (PANT™) outputs. Privacy tiering and banded disclosure are described in US 63/976,499 and US 64/064,692.
  6. Conversion Interactive Agency & People. Data. Analytics. (2026). Spring 2026 Truck Driver Survey. Reported that 58.1% of drivers surveyed were actively seeking another driving job, compared with 46.8% in spring 2025. As reported in Transport Topics, June 2026. ttnews.com