For Investors

The largest clinical AI patent portfolio in the country is looking for its founding investors.

This is not another charting company. This is the platform that replaces them all.

Open_C Health Systems is building the first governed clinical AI platform designed to replace legacy charting systems, not patch them. Governed means every AI decision is traceable, auditable, and receipted. The platform is protected by the most comprehensive healthcare AI patent portfolio ever assembled by a single inventor, with design-around costs that make replication economically irrational for any competitor.

200+
patent filings across P, R, and T series
3,048+
individual patent claims filed
$310M+
minimum design-around cost for competitors
5
academic papers authored by founder
The Opportunity

Six forces are converging at the same time. Every one of them drives demand for governed clinical AI.

This is not a single market trend. It is six independent regulatory, economic, and workforce forces that are all hitting healthcare simultaneously. Each one creates urgency for what Open_C provides. Together, they create a market window that may not stay open for long.

Force 1

The Burnout Exodus

43.2% of physicians report burnout (AMA, 2024). 65% of nurses cite stress and burnout as their top challenge (Cross Country / FAU, 2025). Over 138,000 nurses left the workforce since 2022 (NCSBN, 2024). Burnout-related physician turnover is estimated to cost the US healthcare system up to $4.6 billion per year (Mayo Clinic Proceedings, 2022). The cause is not medicine. The cause is the technology.

Force 2

The Revenue Leak

An estimated 33-45% of outpatient visits may be undercoded (PMC / CMS CERT). Billing errors may cost the average practice up to 7% of total annual revenue (AMA, 2018). Most independent practices never bill CCM because their systems cannot track it. The revenue opportunity exists. Most practices simply lack the tools to capture it.

Force 3

The ACCESS Mandate

CMS launched the ACCESS Model on July 5, 2026: a 10-year outcome-based payment program. Over 150 organizations have been accepted. 14 major private insurers covering 165 million lives have pledged to align by 2028 (CMS Payer Pledge, February 2026). This program requires FHIR-based outcome reporting, patient engagement infrastructure, and technology most practices do not have.

Force 4

Price Transparency Enforcement

CMS began enforcing strengthened Hospital Price Transparency requirements on April 1, 2026. Penalties can reach up to $5,500 per day for noncompliance. CMS fined 10 hospitals in 2025 alone, with penalties reaching up to $871,122 in a single enforcement cycle (Health Affairs, 2025). 65% of reviewed hospitals have received at least one warning. Open_C's R-series patents cover healthcare cost transparency and insurance accountability infrastructure.

Force 5

Healthcare Under Cyberattack

Healthcare had the most reported cyberthreats of any US critical infrastructure sector in 2024: 444 incidents (FBI / AHA). The financial toll of healthcare ransomware may have exceeded $14 billion in 2024 (DialogHealth). The Change Healthcare breach alone exposed up to 190 million records and cost an estimated $3 billion+. 28% of affected organizations reported increased patient mortality. Open_C's governed architecture includes cryptographic verification, fail-closed security, and provenance-bound data pathways designed to resist these threats.

Force 6

The Independent Practice Boom

30 states and US territories now grant nurse practitioners full practice authority to practice independently (AANP, 2026). NP program enrollment grew 12% from 2023 to 2025. California's first wave of fully independent NPs become eligible in 2026. Every new independent NP and PA practice needs a clinical platform. Open_C was built by one of them, for all of them.

The FDA is tightening AI oversight at the same time. The FDA has cleared over 1,000 AI/ML-enabled medical devices as of early 2025 and is now requiring "secure by design" architecture, Software Bills of Materials (SBOMs), Predetermined Change Control Plans (PCCPs), bias analysis, and full model transparency for all AI-enabled device submissions (FDA TPLC Guidance, January 2025). In 2026, the FDA updated its Quality Management System Regulation (QMSR) to align with ISO 13485. Open_C's governed architecture and patent portfolio were designed from the ground up to meet and exceed these requirements.


The Regulatory Cliff

11 major regulations between now and 2028. Every one of them requires technology most practices do not have.

This is not speculative. These are published final rules with fixed compliance dates. The organizations that have the right technology platform will be ready. Everyone else faces penalties, lost revenue, or both.

Already in effect
Feb 2, 2026
FDA QMSR takes effect. Device manufacturers must operate under ISO 13485:2016. Our neuromorphic devices are designed to this standard from inception.
Feb 16, 2026
HIPAA Privacy + 42 CFR Part 2 compliance due. OCR complaint intake now live. Our Privacy Shield and governed disclosure architecture address this directly.
Mar 1, 2026
ONC HTI-1 DSI Transparency enforcement begins. AI/ML model transparency required. Glass Box AI provides this by design.
Apr 1, 2026
Hospital Price Transparency enforcement with new MRF requirements. Penalties up to $5,500/day. R-series patents cover cost transparency infrastructure.
Next 90 days
Jul 5, 2026
CMS ACCESS Model launches. Outcome-based payments at national scale. 150+ organizations accepted. 14 payers, 165 million lives. Requires FHIR-based reporting Open_C is designed to provide.
Upcoming cliffs (2026-2028)
Dec 31, 2026
DEA Telemedicine Flex expires absent new action. Every telepsych and virtual practice needs governed prescribing workflows with audit trails.
Jan 1, 2027
CMS Prior-Auth API Deadlines. Every payer must build interoperability APIs. T-series patents cover governed FHIR data exchange at the infrastructure layer.
Jan 1, 2028
Medicare Telehealth Flex Reversion + Claims Attachments Compliance. Practices need governed dual-workflow systems. The window to build is now.

"Payment design is becoming operational design. For providers that still treat revenue-cycle, case-management, and compliance as separate workstreams, 2026 is the year that model breaks down."

Why Now

Legacy charting systems were built for billing. They were never designed for care, and they cannot be retrofitted for AI.

The dominant charting systems in the US were designed in the 1990s and 2000s to satisfy Meaningful Use requirements and capture billing codes. They were not designed for clinical decision support, real-time AI governance, or outcome-based payment models. Every major vendor is now bolting AI onto architectures that were never built for it. The result is black-box AI with no audit trail, no governance, and no accountability. That is not a feature gap. That is an architectural problem that cannot be fixed with a software update.

Retrofitting does not work

Adding AI to a system designed for billing is like adding a flight computer to a horse and buggy. The underlying architecture does not support real-time inference, provenance tracking, or governed clinical decision support. It costs an estimated $50-100 billion to retrofit existing health IT infrastructure across the US (Congressional Budget Office estimates; RAND Corporation).

Black-box AI is a liability

When an AI makes a clinical recommendation and the clinician cannot see what data was used, which model processed it, or what rules it followed, that is not a tool. That is a liability. Open_C is the only platform where every AI action carries a full receipt: data in, model version, rules applied, recommendation out. We call it Glass Box AI.


The Moat

200+ patents. $310M+ to design around. Built by one inventor at a fraction of the cost.

Open_C's intellectual property portfolio is the largest clinical AI patent portfolio assembled by a single inventor in the United States. It spans three series covering platform governance (P-series), regulatory and insurance accountability (R-series), and TEFCA interoperability intelligence (T-series). The portfolio was designed as an interlocking moat: competitors cannot replicate any single layer without encountering patents across multiple layers.

P-Series
P001-P200

Platform governance, clinical AI architecture, ambient documentation, clinical reasoning engines, neuromorphic device integration, cognitive profiling, and multi-modal signal fusion.

R-Series
R1-R7

Regulatory moat patents targeting healthcare cost transparency and insurance accountability. These patents cover territory no competitor has filed in.

T-Series
T1-T20

TEFCA Intelligence Layer. Interoperability governance for the national health information exchange network. Positions Open_C at the infrastructure layer of US health data movement.

Portfolio Valuation
$9.3M - $94.3M

Stage-dependent valuation based on published IP valuation methodologies. Full walkthrough with source-traced math available upon request.

Design-Around Cost
$310M - $786M

What it would cost a well-funded competitor to engineer around the full portfolio. With the P-OPT neuromorphic device patents, total design-around exceeds $1 billion.

IP leverage ratio: For every $1 invested in building this portfolio, competitors must spend an estimated $20-$52 to design around it. The entire patent portfolio was built for a fraction of what a single competitor patent litigation case costs to defend. Every patent has been hardened against 2026 Federal Circuit standards including Alice/101, 112(f), and the latest case law from Sound View, Innovaport, Alnylam, and Desjardins.

The Market

$13.6 billion addressable in the US. $40 billion globally.

Open_C's beachhead is the 200,000+ independent outpatient practices in the United States that are underserved by every major charting vendor. These practices are too small for enterprise sales teams to care about, too complex for consumer-grade tools, and too burned out to keep doing things the old way. After the beachhead, the platform scales to hospitals, health systems, and international markets.

Total Addressable Market
$13.6B

US clinical AI and charting market

Serviceable Addressable Market
$3B

200K+ independent outpatient practices

Global Opportunity
$40B+

International expansion potential


The Business Model

Four revenue engines. Two subscription tiers. One governed platform.

A typical independent practice today pays $4,000-$15,000 per provider per year across separate charting, AI scribe, CCM/RPM, and clinical decision support tools. Open_C is designed to replace the entire fragmented stack with a single governed platform. Every tier includes Glass Box AI governance as standard. No black boxes at any price point.

BETA LAUNCH PRICING: 40% OFF ALL TIERS FOR THE FIRST YEAR

Regular pricing applies at renewal. Beta pricing is available for a limited time during the initial launch period.

Annual Subscription
AHI Core

The governed clinical AI platform

All five instruments (Scribe, CEE, Echo, Alexandria, Living EHR). Glass Box AI governance. Privacy Shield. End-of-year billing reports. CCM/RPM/BHI time tracking.

Admin / Front Desk: $1,668 $999/yr
Student / Resident: $2,508 $1,499/yr
Non-Prescriber Clinical: $4,188 $2,499/yr
Pharmacy: $6,708 $3,999/yr
APP (NP/PA): $10,068 $5,999/yr
Physician: $13,428 $7,999/yr

Included in Core: All five AI instruments, Glass Box governance with full audit trail, Privacy Shield (prescriber and patient data protection), end-of-year billing reports, and CCM/RPM/BHI time tracking and threshold alerts.

Annual Subscription + Devices + Compliance
AHI Complete

The full platform, compliance suite, and neuromorphic instruments

Everything in AHI Core, plus the governed neuromorphic device suite, ACCESS Model compliance tools, agentic security, healthcare compliance and audit defense, credentialing monitoring, and early access to beta features.

Admin / Front Desk: $3,336 $1,999/yr
Student / Resident: $5,016 $2,999/yr
Non-Prescriber Clinical: $8,376 $4,999/yr
Pharmacy: $13,416 $7,999/yr
APP (NP/PA): $20,136 $11,999/yr
Physician: $26,856 $15,999/yr

AHI Complete adds: Neuromorphic device suite (intelligent stethoscope, BP cuff, portable pulse oximeter), ACCESS Model compliance (outcome tracking, FHIR reporting, baseline submission), credentialing and licensing monitoring, agentic security, healthcare compliance tools, audit defense simulations, device licensing and firmware updates, and early access to beta products and features before public release.

Advanced agentic capabilities beyond those included in AHI Complete may require additional tiers that are currently in development. Pricing and availability for advanced tiers will be announced separately.

Onboarding

Merge Fee

One-time data migration, system integration, staff training, and go-live support. Scaled to practice size.

Offboarding

Demerge Fee

Complete data export in standard formats (FHIR, C-CDA, CSV). Your data is always yours. We never hold it hostage.

Claims Processing

Billing Server Fee

Per-transaction fee for claims submitted through the Open_C billing engine. Includes scrubbing, submission, and reconciliation.

Compute Infrastructure

AI Server Fee

Recurring fee to offset GPU and TPU processing costs for AI inference, ambient documentation, clinical reasoning, and governed agent operations. Scaled to usage volume.

What is included at each tier

AHI CORE

Scribe (ambient documentation)
CEE (clinical reasoning copilot)
Echo (listening agent)
Alexandria (clinical knowledge library)
The Living EHR (dynamic patient record)
Glass Box AI Governance (standard)
Privacy Shield (prescriber + patient data)
CCM / RPM / BHI time tracking
End-of-year billing reports

AHI COMPLETE ADDS

Neuromorphic device suite
ACCESS Model compliance tools
FHIR-based outcome reporting
Agentic security
Healthcare compliance tools
Audit defense simulations
Licensing + credentialing monitoring
Beta product early access
Device firmware + data integration

Additional revenue engines beyond subscriptions

Revenue Stream 2

Patent Licensing

Competitors building clinical AI governance, ambient documentation, or TEFCA interoperability tools will encounter this portfolio. Licensing generates revenue without requiring those competitors to become customers. Annual licensing potential at portfolio maturity is estimated at up to $75M-$510M based on published royalty rate benchmarks and the portfolio's coverage breadth.

Revenue Stream 3

Intelligent Device Sales

Neuromorphic clinical instruments (stethoscope, BP cuff, pulse oximeter, otoscope, ophthalmoscope, dermatoscope). Hardware margin plus recurring software licensing, firmware updates, and governed device-to-EHR data integration. AHI Complete subscribers receive the core device suite; additional instruments available for purchase.

Important: All pricing is subject to change. Beta pricing is introductory and applies to the first year of subscription only. Open_C Health Systems does not guarantee specific revenue outcomes, cost savings, or return on investment for any subscriber. Actual results depend on practice size, patient population, payer mix, geographic location, and clinical performance. Features described are under active development and may vary at launch.

Year 2 corporate structure: three entities, one ecosystem.

Open_C is structured to split into three entities in Year 2: a patent licensing C-Corporation, an exclusive medical device C-Corporation, and a platform Public Benefit Corporation (PBC) for the ecosystem. This structure is designed to maximize IP monetization, isolate device liability, and align the platform entity with the long-term interests of clinicians and patients.


The Platform

Five instruments. One governed healthcare agentic ecosystem.

Scribe writes. CEE thinks. Echo listens. Alexandria knows. The Living EHR remembers.

Ambient Documentation

Scribe

Listens to the encounter. Writes the note. Every sentence traces to the exact moment in the conversation. Zero pajama time.

Clinical Reasoning Copilot

CEE

Helps the clinician think through the case. Differential diagnosis, evidence-based guidelines, medication history. Walks through the reasoning, not just the answer.

The Listening Agent

Echo

Monitors workflows in real time. Flags safety concerns before they reach the patient. Streams content to CEE so the copilot follows the conversation live.

Clinical Knowledge Library

Alexandria

Governed knowledge layer. Guidelines, drug references, protocols. Right information, right time, right source. Not a search engine.

Dynamic Patient Record

The Living EHR

A patient record that updates continuously. Every encounter, every device reading, every AI interaction feeds a living document. Includes a counterfactual engine: "What if we had started the antibiotic two hours earlier?" Designed for continuity across providers, settings, and time.


Aaron Seagle
The Founder

Built by a clinician. Not by someone who read about clinicians.

Aaron R. Seagle, DNP(c), FNP-BC, FNP-C is the founder and sole inventor of Open_C Health Systems. He is a board-certified family nurse practitioner with psychiatric mental health training (PMHNP-BE, board eligible) and over a decade of clinical experience across emergency departments, inpatient hospital medicine, and outpatient primary care.

He is currently completing a Doctor of Nursing Practice at South College with a focus on AI-assisted clinical decision support. His doctoral research centers on the intersection of cognitive offloading, AI external memory, and clinical AI governance.

Aaron is a self-described hospitalist APP from West Virginia building this company from clinical bedside experience rather than theoretical assumptions about healthcare. Every product in the platform was designed to solve a problem he has personally encountered at the point of care.

Credentials

FNP-BC (Family Nurse Practitioner, Board Certified)
FNP-C (Family Nurse Practitioner, Certified)
PMHNP-BE (Psychiatric Mental Health NP, Board Eligible)
DNP Candidate, South College
10+ years clinical experience
Sole inventor, 200+ patent filings
5 academic papers (pending submission)
AHI Trademark filed (4 USPTO classes, 563 entries)
Johnson & Johnson / Duke University NP Entrepreneur Fellow
Nurse Practitioner Entrepreneurship Program (NPEP)

Traction

Pre-revenue. Not pre-work.

Open_C is a pre-revenue company. What it is not is a slide deck with a dream. The intellectual property has been built. The clinical architecture has been designed. The regulatory strategy has been filed. The trademark has been submitted. The academic foundation has been published. What remains is engineering, clinical validation, and go-to-market execution.

Intellectual Property

200+ patent applications filed across P-series (platform), R-series (regulatory), and T-series (TEFCA). 3,048+ individual claims. All hardened against 2026 Federal Circuit standards. Defense moat patents (P042, P043, P055-P058) filed independently.

Brand & Trademark

AHI (Autonomous Health Intelligence) trademark filed across all four USPTO classes (009, 036, 042, 044) with 563 entries. Intent-to-use under Section 1(b), Principal Register. Open_C Health Systems tradename established.

Academic Foundation

Five academic papers on cognitive offloading, AI external memory, and clinical AI governance (pending submission for peer review). 28-chapter book authored on the Open_C platform architecture and clinical AI philosophy.

Recognition & Programs

Selected for Johnson & Johnson / Duke University NP Entrepreneur Fellowship. Active participant in the Nurse Practitioner Entrepreneurship Program (NPEP). Interactive clinical demos in development.


The Ask

Raising a seed round to go from 200+ patents to the platform that replaces every charting system in America.

Where the money goes

Engineering & Product (~55%): Build and ship MVP of the five launch instruments. Hire founding engineering team. AI server infrastructure.
Patent Prosecution (~20%): Convert highest-value provisionals to non-provisional utility filings. Licensing agreements. IP enforcement.
Clinical Validation (~15%): Launch pilots with NP-led outpatient clinics. Generate the outcome data that powers a Series A.
Operations & Legal (~10%): Corporate infrastructure, regulatory compliance, insurance, go-to-market.

What you get

A fully operational platform with the five launch instruments in production.
Non-provisional patent protection on the largest AI healthcare portfolio in existence.
Clinical validation data from 2-3 pilot sites generating real outcome metrics.
Series A readiness within 18-24 months of seed close, with revenue, pilots, and published outcomes.

The regulatory mandates are coming whether this deck exists or not. The only question is whether you are on the right side of the toll booth.

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