A hard, repeatable task.
Heat, g-force and long stints, repeated lap after lap on the same track.
Test the claim.
Machine Nerve records the person and the machine on one clock in a race car. Brands that make performance claims get data for research and a fair test for those claims.
Research
Research direction. No product effect has been measured or claimed. A qualified research partner owns each study.
Las Vegas.
Why a race car.
Few tests put a person under real load and measure the outcome on every lap.
A race car combines heat, g-force, long stints and decisions at speed. Machine Nerve records the person and the machine on one clock, lap after lap. Supplement, nutrition and wearable companies get data for research and a fair test for their claims.
Outcomes the machine measures.
Lap time, consistency and errors come from telemetry, not a survey.
The person on the same clock.
Heart, HRV, EEG features, eyes and voice, aligned to every input.
The same person over time.
Baselines, training and history across sessions and seasons.
Operators in the loop.
The human, machine and AI teaming that trains a driver also runs a product study.
The person
Drives the task and wears the sensors. Follows the protocol.
The machine
Records every input and every outcome, lap by lap.
Eri, the AI
Reviews every session and proposes the next version. The driver decides.
The scientist
Owns the protocol, the endpoints and the conclusion.
Say the method.
A local keyword parser shows the method parts. This is a first draft, not a running method.
Continue with this draft- signal
- brake_pressure
- signal
- heart_rate
- when
- brake > 85% for 1500 ms
- unless
- heart_rate.stale
- cue
- chime once
- then
- quiet 3000 ms
- authority
- approval_required
Modeled example.
A first draft. The operator and our team refine it.
From source to session.
Source-agnostic by design. Simulator streams and real-car recordings feed a common performance workflow, during the session and after it.
iRacing
Live relay and file import. Live telemetry, CSV and IBT.
Built paths
Live delivery and recorded-file analysis have different clocks and rates.
Microsoft Flight Simulator
Live adapter and replay. Enabled SimConnect profiles and replay bundles.
Built paths
Flight simulator profiles run the same methods as racing.
MoTeC
File import. i2 CSV exports.
Built CSV path
i2 CSV exports import with their channels and units.
Cosworth
File import. Qualified PDS recordings.
Qualified variants
Direct decoding covers the qualified Porsche and Cosworth layouts.
VBOX
File import. CSV and native VBO.
Built import paths
Channels, timebase and companion video alignment depend on the recording.
AiM
File import. Recognized Race Studio CSV exports.
Built CSV boundary
The CSV adapter keeps the raw source data.
RaceChrono
File import. CSV exports.
Built import path
Column mappings follow the exported recording.
Garage61
File import. CSV exports.
Built import path
Recorded sessions import for review and trends.
Bosch
Compatibility request. Representative export required.
Not verified
Send a representative export and we qualify the format and channels.
Live sources run methods in the session. Imported files feed review and trends. Each value carries its source, format, version and quality.
Choose the question.
For companies that make performance claims. Each question is an example. The brand and a research partner choose the real one.
- Supplements and sports nutrition
- Does the product change late-stint errors at comparable pace?
- Hydration and cooling
- Does it help a driver hold consistency through a hot stint?
- Recovery and sleep
- Does reported recovery match the next session's performance?
- Wearables and sensors
- Does a new sensor agree with a chest-strap ECG while driving?
- Equipment and apparel
- Does a seat, glove or suit change inputs over a long stint?
- Training programs
- Does the program shorten the time to a skill standard?
How a study runs.
Define the comparison.
Exact product, target user, baseline, comparator and one primary performance question.
Follow the same person.
Repeated comparable sessions, declared training exposure and relevant consented history.
Review the whole result.
Task outcomes first. Physiological associations are context, with source quality, missingness and uncertainty.
Keep the record.
Protocol and analysis revisions, source-linked findings and separately permissioned public case studies.
The company buys a comparison, not a positive conclusion. A qualified research partner, an agreed protocol and appropriate safety and ethics review come before a study.
Capture and method tools exist. Controlled supplement evaluation remains a research direction. Randomization, blinded supply, statistical review and publication rights need a study-specific plan.
- Question
- Does the exact product change late-stint errors at comparable pace?
- Comparison
- Repeated baseline and a suitable placebo or active comparator.
- Task
- A repeatable simulator stint. Car, setup, training and task policy held constant.
- Outcome
- Prespecified errors per exposure, pace and consistency. Unassisted probes when testing learning.
- Context
- Quality-eligible physiology, prior training and consented health history.
- Result
- Positive, null, mixed or inconclusive. Uncertainty and missing data stay visible.
Modeled example.
What you keep.
A feasibility report.
Signal yield, task repeatability and cost, before any product is tested.
Private product intelligence.
The comparison, each person's trajectory, the uncertainty and the null results.
A review packet.
Protocol, analysis versions and source-linked data that a reviewer can rerun.
A public case study.
Only with publication rights and claims review. Payment never depends on the result.
The same method transfers to pilots, drone operators and anyone who operates a machine under load.
Physiological signals are context for performance review. They are not diagnoses, emotion detection or fitness-for-duty measures.
Machine Nerve is not a medical device and does not provide clinical diagnosis, treatment, or medical readiness certification.
Built from four seats.
David Hodge Jr races the car, trains drivers, reads the data and writes the software.
Six class wins since 2023 and 15+ years of software engineering.
The founder and the company- 15+ years
- Software engineer. Founder-reported
- 4 years
- DoorDash. In-app chat, post-checkout, and founding engineer in the geospatial division, with international and logistics improvements. Founder-reported
- 2025
- IMSA Michelin Pilot Challenge, GS class, Toyota GR Supra GT4 EVO2, at Daytona and Mid-Ohio. Measured
- 2026
- Porsche Endurance Challenge, Road Atlanta. Class win in car 49 and the class's fastest lap. Measured
P1
Road Atlanta, class win.
Where next?
Bring the question.
Name the product or decision you want to investigate. Do not put personal health records in this form.
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