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Starboard ResearchA Starboard Investment company

Applied research institute · Diesel emissions & efficiency

Deep intelligence on the machines the world already runs.

An applied-research institute turning validated science into operating companies — at the crossroads of operating cost, fleet productivity, emissions, and compliance.

The core narrative · “win-win,” made rigorous

Four pressures. One solution.

01

Operating cost & uptime

Less fuel burned and fewer unplanned failures on assets already in service.

02

Fleet productivity

More productive hours from the same machines, routes, and crews.

03

Sustainability · GHG

Lower greenhouse-gas intensity per unit of work, measured not asserted.

04

Compliance

Defensible, audit-grade evidence grounded in recognized test standards.

You don’t trade these against each other. AI applied to legacy assets advances all four at once.

Thesis

AI tissue on a legacy baseline.

We pair modern machine intelligence with the durable, ubiquitous installed base of heavy-duty diesel systems — improving what is already deployed rather than waiting for it to be replaced.

AI / data intelligence layer
Measurement planeHeavy-duty diesel haul truck — the legacy installed base the intelligence layer measures
Legacy diesel baseline · installed base

Method language kept general — no emissions-species detail in public copy.

Proof · lead with validation

US + India1
Patents granted on the method
3,0582
ISO 8178 emission tests captured
1243
Engines · three continents
$247.6M4
Workpaper-backed economic impact
1 US 10,718,284 B2 · IN 553,3702 Starboard Research WP1 v3.1 / WP2 v2.13 Validated field corpus, WP1 v3.14 Cumulative impact, WP2 v2.1 (2011–2019 realized fleet)

Figures trace to the published WP1 / WP2 record and are reported across measurement tiers separately — realized, workpaper-backed figures are shown here; identified-pilot totals are detailed in the papers.

Platforms · where the science ships

Validated research, commercialized separately.

Diesel-efficiency intelligence

Emissions-Based Maintenance

The institute’s diagnostic science, commercialized through Revealiency’s EBM AI™ platform — hard ROI selling lives there, kept cleanly separable from the institute.

→ revealiency.com
Pipeline

Additional innovations in development

Further applied-research programs are advancing toward validation. Details are held until filings clear — conservative disclosure is a feature, not a limitation.

Why an institute

Provenance that adds value to every spinout.

STEP 01

Foundational research

The measurement science, published openly.

STEP 02

Field validation

Tested against the real, deployed fleet.

STEP 03

Protected IP

Granted patents secure the method.

STEP 04

Spin-out company

A clean, separable operating company.

Principal investigators

Judged on people, publications, and method.

Jeramiah Forbush

Inventor · Finance lead

CPA / CGMA · Big-4 background · operator · inventor of record on the granted patents. President & Co-Founder, Revealiency.

Steve Forbush

Inventor · Engineering lead

40+ years of diesel field expertise · co-inventor on the emissions-based maintenance method. CTO & Co-Founder, Revealiency.

Pilot a solution · partner on research · explore a spinout.

Open to fleet operators, academic partners, national labs, standards bodies, and co-authored SBIR / SAE work.