Modulor — Actuarial infrastructure for musculoskeletal injury risk

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← Back to home (decline)

Actuarial infrastructure for
musculoskeletal injury risk.

Confidential — For potential partners only

The Problem

Soft-tissue injuries are the #1 cause of lost games in elite sports — and they're getting worse.

Strength has force plates. Speed has timing gates. Recovery has Normatec. But flexibility and joint mobility — the biggest levers for injury prevention — are still estimated by eye and documented on paper.

No measurement → manual goniometry has 5–10° error; tight hamstrings, hip asymmetries, and ankle restrictions go undetected until an athlete pulls up (Norkin & White, Measurement of Joint Motion: A Guide to Goniometry, 5th ed. 2016)
No consistency → no standardized force, no protocol control — 30% of hamstring and adductor injuries re-occur despite modern S&C (Ekstrand et al., Br J Sports Med 2023)
No longitudinal data → when an athlete tears a muscle, there's no flexibility trend data to analyze — the warning signs were never captured
No readiness data → for special operations and high-performance military units, an MSK injury isn't just a roster problem — it's a readiness event. With a finite operator pool, every down day is a capability gap you can't fill

The full scope — every muscle group Modulor addresses:

• Muscle strains are the largest single injury category in elite football: hamstrings 42%, adductors 25%, quadriceps 19%, calves 14%. Re-injury rates: adductors 29%, hamstrings 30%. (Eirale et al., epidemiological review, Br J Sports Med)

• 25% of NFL players suffer a lower-extremity strain every season — 33% re-injury rate. (Jenkins et al., 12-year review of 2,101 NFL hamstring injuries, Orthop J Sports Med 2024)

• 21% of professional footballers suffer a groin/adductor injury every season; 68% are adductor-related. (Werner et al., 17-club 606-player UEFA prospective study, Br J Sports Med)

• Restricted hip internal rotation and ankle dorsiflexion are independent risk factors for ACL injury — 83% of studies in a 2,819-athlete systematic review confirmed the link. (Belkhelladi, Cierson & Martineau, Orthop J Sports Med 2025)

• Hamstring injuries have DOUBLED from 12% to 24% of all injuries in men's professional football over 21 years — training injuries rising 6.7% annually despite modern training science. (Ekstrand et al., UEFA Elite Club Injury Study, Br J Sports Med 2023)

• Economic impact: top LaLiga clubs lose €7M+ annually to muscle injuries; Premier League teams spent £266M total on sidelined players' wages in 2023/24 — £83M on hamstrings alone. (Melcón-Ballesteros et al., PLOS One 2024; Premier Injuries Ltd. 2024)

The Solution

Keep athletes on the field. Extend their careers. Sharpen their edge.

The athlete straps in. A motorized cable stretches them at calibrated force. Onboard sensors feel exactly where tissue yields. A depth camera catches the compensations that mask true range. Every session, a structured record of what was actually found.

From guesswork → to precision: motorized cable tension at constant force, joint angle measured to ±2° by depth camera
From reactive care → to proactive prevention: longitudinal ROM trends and asymmetry alerts quantify mobility loss and side-to-side drift reliably, session over session
From missed games → to more starts: athletes recover faster, move better, and stay on the field — the metric that matters most

The Product

Strap in. Get stretched. Get measured.

FIG. 2 — Apparatus Side-View Schematic

10 BLDC motor 12 Planetary gearbox 14 Cable spool 16 Inline load cell 18 Quick-release cuff 20 Depth camera 22 Touchscreen 24 E-stop 26 Frame + bench

The athlete straps in, attaches a quick-release cuff, and the machine does the rest — no clinician, no partner required.

Strap in — guided position, quick-release cuff. Under a minute.
Machine stretches — force-controlled cable, identical calibrated load every rep. Backdriveable and safe.
Feels the tension — inline load cell reads resistance and end-range tolerance continuously through the movement.
Detects deficiencies — depth camera flags pelvic rotation, trunk shift, and knee bend in real time. The compensations that mask true range and drive re-injury, now on the record.

Compliance by design. Athletes do ~0% of unsupervised home mobility work and ~100% of what a clinician walks them through. The machine is the present clinician — guided, timed, force-controlled, recorded. Every rep counted means every session compounds the corpus.

How It Works

Eight minutes. Nine variables. Zero guesswork.

FIG. 3 — Stretch Session Method (Bilateral Assessment Protocol)

Method claim: Steps 100–112 define the complete bilateral assessment and adaptive stretching protocol with longitudinal feedback loop.

Technology

Five systems. One closed loop.

FIG. 4 — Cable Drive Assembly

Cable Drive

200W BLDC motor, 20:1 planetary gearbox, Dyneema cable. ODrive FOC controller at 100Hz. Force-compliant, backdriveable.

FIG. 5 — Sensor Array & Data Paths

Depth Camera + Sensors

Intel RealSense D435. 12-point skeletal tracking at 30fps. Inline load cell at 100Hz. Edge compute on Jetson module.

FIG. 6 — Control Interface Architecture

Live Interface

15" touchscreen. Real-time force graph, ROM tracking, bilateral comparison. Longitudinal trend view with export.

FIG. 7 — Five-Layer Safety Cascade

Five-Layer Safety

Software cap → PID compliance → slip clutch → E-stop → quick-release. Each layer is independent and fail-safe.

What It Measures

Nine variables. Measured, not estimated.

Manual goniometry measures a pose — one plane, one moment, examiner-graded. Modulor measures the movement — continuous, multi-joint, both sides, at 100 Hz.

FIG. 8 — Measurement Extraction Pipeline (Raw Sensor → Derived Variables)

Apparatus claim: Three independent sensor inputs (40, 42, encoder) are fused at element 60 to derive nine biomechanical variables (V1–V9), fed to longitudinal risk scoring engine (62).

Joint Angle

Peak passive ROM at standardized force. ±2° accuracy. Comparable across sessions.

Cable Force

Inline load cell at 100Hz. Logs tension ramp, peak force, and variability during hold.

Asymmetry

Left vs. right at matched force. Flags differences >10%. Tracks resolution over time.

Hold Time

Duration at end-range without retreating. A neuromuscular tolerance metric.

Compensation

Camera detects pelvic rotation, knee bend, trunk shift. Quantified, not eyeballed.

Tolerance Threshold

The force level where the athlete first reports discomfort or resists. Tracked over weeks.

Pain Response

Binary flag per rep. Correlated with force and ROM to build a tissue-response profile.

Tension Ramp

Rate of force acceptance during initial stretch. Indicates tissue readiness and stiffness.

Session Δ

Acute ROM gain per session. Chronic trend over weeks. The metric that matters most.

Competitive Landscape

The injury-risk measurement ecosystem. Motorized stretching, real-time measurement, longitudinal data. No integrated platform.

Data-Rich / Measured No Data / Manual Passive / Manual Active / Motorized

Modulor

Biodex / Cybex

Normatec

StretchLab

Manual PT

Foam Rollers

Goniometer

← Passive / Manual Active / Motorized →

The real competitive set is the full injury-risk measurement ecosystem — force plates (VALD ForceDecks, Hawkin), motion capture (VALD HumanTrak, Theia, Sparta), and stretch-focused hardware (StretchLab, Normatec, Hyperice). Each owns a slice. Modulor integrates motorized, force-controlled stretching with real-time biomechanical measurement and longitudinal data — the only intervention surface that also generates the measurement corpus.

AMS layer (Smartabase, Catapult) is integration, not competition — Modulor data plugs in.

Force plates — VALD ForceDecks, Hawkin

Jump / squat force output. Adjacent budget. No ROM, no stretch, no intervention surface.

Motion capture — VALD HumanTrak, Theia, Sparta

Kinematics from markerless video. Measurement-only; no calibrated load, no intervention layer.

Biodex / Cybex

Clinical isokinetic. $100K+. Not designed for stretching protocols. No vision tracking.

StretchLab

Manual 1:1 service. $60/session. No measurement, no data, no consistency.

Normatec / Hyperice

Compression + percussion recovery. No active stretch. No ROM measurement.

Manual PT

Subjective assessment. No force control, no objective measurement. Rarely documented longitudinally.

Market Opportunity

Five buyers. One data asset. Sequenced, not simultaneous.

Stretching is the wedge. The product is a measurement + risk-pricing layer. Five independent buyers monetize the same underlying corpus — seed-stage commercial wedge is pro + collegiate Teams; DoD is the non-dilutive capital channel, not the first-pilot source; Insurance, Leagues, and Strategic unlock as the data corpus compounds.

Buyer 1 · Hardware lease

Teams — pro + collegiate

~800 addressable programs in NA + EU. Target $60K/yr/station. Every franchise has a training-room budget and an injury-prevention mandate.

Buyer 2 · Data licensing · long-term

Insurers — WC + disability

$70B+ US market. MSK is ~40% of claims. Long-term roadmap — unlocks after peer-reviewed clinical validation + 10K+ athlete-months in corpus. Target at maturity: $250K–$1M per carrier / yr. Not a seed-stage revenue claim.

Buyer 3 · Non-dilutive + hardware

DoD / Special Operations

~800K MSK injuries/yr active-duty — 100× pro sport. SOFWERX, AFWERX, DIU are funded pilot rails. Same hardware; subscription fits training-hub budgets. Doc 19 →

Buyer 4 · Enterprise

Leagues + PAs

Roster-level availability models. Standardized injury reporting aligned to CBAs. Long sales cycle — large check.

Buyer 5 · Strategic exit

Hyperice · Catapult · Nike

Patent + data corpus are the asset. Acquisition-optimized. Adjacent distribution already owns the consumer surface.

Hardware is the wedge

Lease-only model. Every install compounds the data corpus. Physical switching cost protects the moat once deployed.

Defensibility

The device is the collection mechanism. The moat is everything it builds.

A competitor can build a cable machine. They cannot replicate three years of elite athlete flexibility data, a peer-reviewed MSK injury risk study, and a workflow embedded in every major AMS.

Layer 1 · Data

The normative database

ROM norms for NFL linemen, Army Rangers, Division I athletes — by position, by load, by season. Once collected, no competitor can replicate it without 3–5 years of their own installs. This is the asset that gets licensed to insurers and leagues — not the hardware.

Layer 2 · Evidence

Peer-reviewed clinical validation

A published study — hazard-ratio curves linking ROM / asymmetry deltas to downstream MSK injury risk — becomes the permanent evidence standard. We don't pre-claim the predictive window; the dataset tells us where it lands. Competitors must produce their own equivalent study. That's 2–3 years of lag minimum — and we set the reference the whole field cites.

Layer 3 · Workflow

AMS integration + switching cost

Once a team's physician is using Modulor ROM delta as a return-to-play criterion and the data is flowing into Smartabase or Catapult, switching means losing the athlete's entire longitudinal record. The data-rights clause in every lease — de-identified corpus retained in perpetuity — is the contractual foundation of this layer.

Layer 4 · Regulatory

Exempt device, gated output

The device itself is positioned as Class I, 510(k)-exempt (performance / wellness; product codes ISD / KQX / NKI). Pursuing clearance for the injury-risk scoring output as a medical device puts any competitor entering the clinical space 12–24 months behind us in queue. Not a wall — a head start that compounds with the data advantage.

The one clause that makes this work: Every pilot and lease contract includes a data-rights provision — the team gets their athlete data back into their AMS; Modulor retains the de-identified corpus in perpetuity. Embedded from day one, this clause is what turns hardware revenue into a data company.

Military / DoD Pathway

100× the injury volume. Non-dilutive capital. Parallel track.

MSK injury is the #1 cause of lost duty days across every service branch. ~800K/yr active-duty MSK injuries; $3.7B annual cost. We pursue this in parallel to commercial — funded by the government, not the seed.

Why we have access: Co-founder Luke Lisa is an 18-year USAF veteran — Tactical Air Control Party Officer, former Lead Engineer for Warfighter Training Systems, and Deputy Chief of the Pentagon's Integrated Warfare Division. He is both the target user and the person who built training hardware for this exact population. He has direct relationships across 711 Human Performance Wing (AFRL), Special Warfare training wings, and operator squadrons — providing strategic connectivity, contacts, and partnership strategy while he remains on active duty. Direct customer negotiations are led by the Modulor team.

Pathway 1 · 90-day yes

AFWERX · Air Force SBIR

Open Topic quarterly. $75K Phase I (3 mo) → $1.7M Phase II (9 mo) → $15M STRATFI. Target sponsor: PJ / combat controller / pilot training units.

Pathway 2 · Best-paying pilot

SOFWERX · USSOCOM

Tier-1 operators = closest analog to pro athletes. CRADA + funded pilot via Tech Experimentation event. $250K–$3M, 90–180 days.

Pathway 3 · Biggest check

DIU · Prototype OTA

Dual-use commercial-first. $1–20M prototype awards. Unlocked after first commercial pilot revenue. Target: Year 2.

Pathway 4 · Validation

DHA · CHAMP clinical

Peer-reviewed ROM/asymmetry → MSK injury risk paper. Unlocks insurance licensing narrative. 6–24 mo, $500K–$10M R&D.

Product delta: minimal

Same hardware. Protocol library + unit-aggregated dashboards + IL-4 gov cloud path. ~2 person-weeks of integration per pathway.

What it does for the seed

"$3M + $500K non-dilutive Phase I" = smarter capital + diversified buyer + de-risked insurance narrative. Full plan in Doc 19.

Product Roadmap

Honest scope. No overclaiming. PNF in V1; full clinical depth at V1.5.

FIG. 9 — Multi-Pattern Reconfigurable Platform (Single Frame, Seven Patterns)

Apparatus claim: A single motorized cable platform (elements 10, 34, 38) serves seven distinct stretch patterns through athlete repositioning (V1) and adjustable pulley position on a sliding track (V2), without changing the drive system.

V1 — Launch

Four stretch patterns

Hamstring SLR (straight-leg raise)
Adductor abduction
Hip flexor extension
PNF contract-relax — resist the cable, motor holds; release, machine advances to new ROM. Solo-administered.

Same motor, same cable, same pulley for all four. The athlete changes position — the machine stays simple.

V2 — Year 2

Three additional patterns

Hip internal / external rotation
Ankle dorsiflexion
Thoracic rotation

Requires adjustable pulley position on frame (sliding track). Same motor and cable system. Software update + hardware bracket.

Intellectual Property · Patent Pending

With a patent to protect it.

USPTO Provisional Application 64/040,028 · filed April 15, 2026 · 35 U.S.C. § 111(b)

FIG. 1 — System Block Diagram (Force-Controlled Stretch with Compensation-Aware Adjustment)

System claim: Elements 200–214 define the complete closed-loop system. The red dashed path (210 → 204) represents the novel compensation-aware force adjustment — vision-detected compensation modifies the PID setpoint in real time.

FIG. 10 — PID Force-Compliance Control Loop (Element 204 Detail)

Method claim: The PID controller (204) maintains force setpoint while the compensation signal from the vision system (210) dynamically modifies the target, creating a dual-feedback architecture unique to this apparatus.

FIG. 11 — Compensation Detection & Adaptive Force Response (Element 210 Detail)

Method claim: The compensation classifier (224) analyzes pose data to detect pelvic rotation, knee bend, or trunk shift, then proportionally reduces force setpoint — the core novel mechanism that distinguishes Modulor from all existing stretch devices.

Claim 1 — Method

A method for force-controlled stretching with compensation-aware adjustment, comprising: applying motorized cable tension via PID force control (204), detecting movement compensation via depth-camera pose estimation (210, 224), and dynamically modifying the force setpoint in response to detected compensation.

Claim 2 — Apparatus

An integrated cable-drive and vision feedback stretching apparatus comprising: a motorized spool (34) with inline force sensing (42), a depth camera (40) with skeletal tracking (220), a PID compliance controller (204), and a compensation classifier (224) that adjusts cable tension in real time.

Claim 3 — System

A bilateral assessment and adaptive protocol system comprising: standardized force application (F_set), bilateral ROM comparison (Δ = |θ_L − θ_R|), longitudinal trend analysis with injury risk scoring (62), and adaptive protocol modification (214) based on historical session data.

Figures 1–11 document the complete system. Prior art gap is strong — no existing device combines motorized cable stretching with real-time vision-based compensation detection and adaptive force modification.

Execution Discipline

We run risk like a flight operation.

Modulor's engineering is governed by the Joint Risk Analysis Methodology (JRAM) — the framework from Joint Chiefs of Staff Manual CJCSM 3105.01B, brought in by Luke from 18+ years of USAF operational planning.

Every risk · four pillars

Problem framing — the objective that could be harmed
Assessment — harmful event, sources, drivers, probability × consequence
Judgment — characterization and acceptability
Management — ≥3 mitigation options, recommendation, contingency, decision link

In practice

30 risks tracked across IP, engineering, manufacturing, regulatory, market, team
Top risks elevated to canonical analysis — safety, FDA pathway, manufacturability already complete
Every risk linked — register → mitigation → decision-support entry → owner
Versioned and auditable — same record discipline a program office runs on

Investors don't have to take engineering maturity on faith. The register is open to diligence.

11B

Top Risks · How We Close Them

Four risks investors should ask about. Here are the answers.

Risk 01 · Safety

Athlete injury during supervised use

What could go wrong: excessive cable force, uncontrolled motion, or a contraindicated user during a session.

How we close it: FMEA + ISO 14971 design controls. 10-item human-testing gate — no athlete contact until all 10 verified. Clinician-supervised sessions. CGL + product-liability coverage in place before any facility testing.

Risk 02 · Regulatory

FDA pathway misjudged

What could go wrong: over-claim positions Modulor as a Class II 510(k) device requiring clearance, blocking pilots.

How we close it: assessment complete — positioned as Class I / 510(k)-exempt performance and wellness device under product codes ISD / KQX / NKI. Disciplined intended-use language across all copy. Regulatory counsel engaged before first pilot.

Risk 03 · Manufacturability

Prototype not cost-effective at scale

What could go wrong: the alpha build works, but BOM cost doesn't support target unit economics.

How we close it: DFM review at design freeze. BOM cost model gates the vendor SOW. Alternate-supplier identification on every long-lead component (motors, drives, load cells).

Risk 04 · Measurement

Vision ROM accuracy degrades

What could go wrong: depth-camera occlusion or calibration drift degrades the ROM signal that differentiates Modulor from manual goniometry.

How we close it: real-environment validation against clinical goniometry. Per-session calibration routines. Sensor benchmarking before any clinical claim leaves the lab.

Funding and founder-bandwidth risks are tracked internally — those are ours to manage, not yours to underwrite.

11C

Revenue Model

Multiple revenue streams, hardware-led foundation.

2026–2027 (Launch)

Hardware sales — 70%
SaaS subscriptions — 15%
Service / install — 15%

2028+ (Scale)

SaaS subscriptions — 45%
Hardware sales — 30%
Data + insights — 15%
Service / install — 10%

$15–25K

Per unit hardware

$500/mo

SaaS per machine

85%+

Gross margin on SaaS

Growth Engine

Modulor Flywheel: Compounding data advantage.

Athletes: Sessions → Data → Better Protocols → Better Outcomes → Retention

Facilities: Adoption → Results → Reputation → Referrals → More Facilities

Data: Volume → Accuracy → Prediction → Injury Prevention → Value

Booster: Every prevented injury is a case study that sells the next 10 machines.

Integration Layer

We are the measurement layer. Every performance-stack pipe is a distribution lever.

We do not build our own AMS, programming app, or wearable. Every existing platform is a pipe we feed. That's how the hardware becomes infrastructure, not a sensor.

Tier 1 · V1 must-haves

Smartabase — #1 AMS in pro + elite college
Kitman Labs — EPL, NFL, MLS footprint
TeamBuildr — college S&C standard
Train Heroic — tactical + CrossFit delivery app
CSV + public REST API — universal fallback

Pilot gate: "we use X" cannot be a reason we lose the deal.

Tier 2 · 6-month unlock

Catapult — workload-to-MSK risk correlation
Polar Team Pro — collegiate workload
Hudl / Teamworks — roster + schedule
Epic / Cerner (HL7 FHIR) — medical + RTD

Each unlocks a specific buyer category.

The insurance play

Carriers don't integrate with point tools. They license aggregated, anonymized risk signals via data-licensing APIs. Target: $250K–$1M / carrier / yr after Year 2. No claims-system integration needed — just signed BAAs and a data feed.

The rule

Never write bespoke code for one customer. Every integration is a reusable template. Every custom request gets redirected to the public REST API + webhook pattern. Cheap per customer, compounding over time.

Ownership

Data-rights clause in every lease contract. Teams get their data back into their AMS; we retain the de-identified corpus in perpetuity. This is the insurance-licensing precondition. Full plan: Doc 20.

13b

Capital Requirements

Two-stage raise: $500K bridge now, $3M seed on prototype.

Bridge builds the alpha and validates at Klemic Performance Method. Seed deploys 5–8 pilot stations, drives utility conversion, lands first insurance LOI, puts us at $2–4M ARR for Series A.

Bridge — $500K · Stage 1 Alpha build + validation at Klemic Performance Method

~$30K

Alpha hardware (1–2 units)

~$200K¹

Mech engineering — StudioRed + EE partner

~$100K

9-mo runway — CEO full-time + CTO contracted hours

~$50K¹

IP, legal, cap-table setup

~$120K

Buffer / contingency

Build partner: StudioRed (43-yr product-dev firm; clients include Medtronic, Boston Scientific, Stanford) · Alpha host site: Klemic Performance Method (Dave Klemic, klemicperformancemethod.com)

¹ Bridge allocations are best estimates pending StudioRed formal estimate and counsel quote on cap-table / RSPA work.

Seed — $3M · Stage 2 · Post-prototype, higher valuation

Hardware — prototype, pilot stations, tooling — 40% ($1.2M)
Engineering — firmware, CV/ML, full-stack — 30% ($900K)
GTM — pilot ops, clinical validation, partnerships — 15% ($450K)
IP — utility conversion, PCT, continuations — 10% ($300K)
Reserve — legal, ops, contingency — 5% ($150K)

ARR Projection by Installed Units

Hardware SaaS ($6K/yr/unit)

$260K

$650K

$1.3M

$2.6M

100

Active Units Installed

● Hardware

$1.2M

Mechanical design, CAD, CNC + frame fabrication$250K

Motor, gearbox, controller — 8 pilot stations$320K

Depth camera, load cell, compute, touchscreen × 8$180K

Tooling, fixtures, small-run production setup$200K

Iteration (v1.5 + PNF firmware rev)$150K

Shop time, assembly, QA$100K

● Engineering

$900K

Firmware engineer — PID loop, PNF detection, safety$220K

CV/ML engineer — compensation detection, pose fusion$260K

Full-stack — API, AMS connectors, dashboards$200K

Mechanical / EE fractional$150K

Cloud infra, data pipeline, security$70K

● GTM

$450K

Pilot operations — install, onboarding, support × 5–8 sites$150K

Clinical validation — peer-reviewed study, CHAMP / collegiate$120K

DoD SBIR consultant + travel (AFWERX / SOFWERX)$60K

Fractional VP Sales — 3-month engagement, then extend$80K

Case studies, media, conference booths$40K

● IP

$300K

Utility patent conversion (3 claims)$45K

PCT filing — international protection$60K

Continuations (method + apparatus + system)$90K

Data-rights counsel — contract template, per-deal review$60K

Trademark, prior art, IP strategy$45K

● Reserve — legal, ops, contingency

$150K

D&O, product liability, general liability insurance$40K

Corporate legal, employment, cap-table management$35K

Accounting, audit, ops overhead$35K

Contingency — component lead times, rework, rush orders$40K

Total Raise $3,000,000

$3M seed gets Modulor through 5–8 pilot deployments, utility patent conversion, first insurance data-licensing LOI, and AFWERX Phase I submission → Series A at $2–4M ARR + corpus of 25K+ athlete-months.

The Team

A product founder, a warfighter engineer, and a DoD-tested advisor.

Founder · CEO

Mitchell Lisa

University of Miami · Business Administration

→ Corner Of (iOS) — partnered with Blind Tiger, Bleecker Street Bar, Little Ways, Blue Haven, The Flower Shop & more; $25K pre-seed, 500+ waitlist

→ Dexian — $1.3M in sales revenue across finance, banking & insurance

→ Led AI pilot that cut manual data entry 80%

→ Walk-on UM Football — the athlete's perspective, built in

Co-Founder · CTO

Matthew "Luke" Lisa

USAF · 18+ years · Virginia Tech Engineering

→ Lead Engineer, Warfighter Training Systems — built DoD training hardware

→ JTAC — the exact operator this machine is built to protect

→ Deputy Chief, Integrated Warfare Division, Pentagon

→ Strategic connectivity: 711 HPW (AFRL), Special Warfare training wings, operator squadrons

Strategic Advisor · DoD + Mil-Tech

Adam H. Evans, PhD, LMT, CPCT

Capella PhD · Case Western MBA · Colorado Springs

→ Former Chair of Entrepreneurship, University of Kentucky (2018–2022) — built the MBA Entrepreneurship concentration

→ Chief Strategy Officer, InstantHandz (Phoenix) — $1M valuation, $250K+ revenue serving Armed Forces families

→ AFWERX/SOFWERX judge · Harvard NPLI fellow · USAF Master Resilience Trainer

→ Founder & Executive Director, Special O.P.S. Inc. — FSMTB national board (writes the licensing exam)

14B

The Ask

$500K bridge now, $3M seed on prototype.

The thesis is defined. The IP is filed. The product is scoped. Bridge funds the alpha build and Klemic validation. Seed scales pilot deployments on a de-risked prototype. Round construction set by the market, not by us.

What's done

USPTO provisional 64/040,028 filed Apr 15, 2026
Full product scope + BOM
Data-rights contract template
First host site committed: Klemic Performance Method (Dave Klemic) — alpha validation site
Design docs public (19)

What $3M delivers

5–8 pilot stations deployed
Utility patent + PCT
PNF at V1.5 — clinical parity
AFWERX Phase I submission
First insurance LOI

Milestones to Series A

$2–4M ARR
25K+ athlete-months in corpus
1 insurer data-licensing pilot
3+ AMS integrations live
DoD non-dilutive awarded

If you are that anchor, that fund, or one of those athletes — let's talk.

Direct: hello@modulor.bio · Data room: hub.html · Reply within 48 hours.