# Cadiotech

*/Startups/Cadiotech*

## Startup Overview

The platform ingests continuous patient telemetry and maps the raw data directly to diagnostic rhythm classifications. It processes uninterrupted ECG streams to identify arrhythmias, atrial fibrillation, and other structural cardiac events, delivering precise clinical classifications without requiring manual first-pass review.

Clinical monitoring teams and cardiologists face a massive data bottleneck when interpreting days or weeks of continuous heart rhythms. Traditional manual Holter analysis demands extensive technician labor and delays patient interventions. By fully automating the mapping of telemetry to specific rhythms, the software removes the backlog of unread scans and delivers immediate clinical findings to the physician.

Unlike iRhythm and Preventice Solutions, which lock clinics into proprietary hardware patches and expensive bundled contracts, this system remains strictly hardware-agnostic for data ingestion. Clinics deploy the monitoring devices of their choice while the platform processes the resulting data streams. By pricing the service exclusively per verified diagnostic finding, it unbundles the diagnostic software from the physical device, ensuring health systems pay only for actionable clinical results.

## Startup Founding Hypothesis

**Approach**: that maps continuous patient telemetry to diagnostic rhythm classifications
**Competitors**:
- [iRhythm](/Competitors/iRhythm)
- [Preventice Solutions](/Competitors/Preventice_Solutions)
- [manual Holter analysis](/Competitors/manual_Holter_analysis)
**Differentiator2x2**: hardware-agnostic for data ingestion and priced per verified diagnostic finding

## Startup Solution Coordinate

**Solution**: [Cardiac Rhythm Classifier](/Services/Cardiac_Rhythm_Classifier)

## Startup Position2x2

```mermaid
quadrantChart
    title Diagnostic Rhythm Classification Positioning
    x-axis Proprietary Hardware --> Hardware-Agnostic Ingestion
    y-axis Bundled Service or Device Fee --> Priced Per Verified Finding
    quadrant-1 Value-Based Software
    quadrant-2 Premium Ecosystems
    quadrant-3 Legacy Monitoring
    quadrant-4 Raw Telemetry Aggregation
    manual Holter analysis: [0.15, 0.15]
    iRhythm: [0.10, 0.40]
    Preventice Solutions: [0.20, 0.35]
    Cadiotech: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Targeting a 40% reduction in manual Holter analysis time for outpatient cardiology clinics.
- Aiming to maintain >98% sensitivity for atrial fibrillation detection against established benchmark clinical datasets.
- Designed to process raw 14-day wearable telemetry files in under two hours of compute time.
**Tiers**:
- Name: Standard Telemetry · Price: ~$12–$25 per verified finding · Inclusions: Ingestion of 24- to 48-hour standard ECG/Holter files, automated artifact rejection, and clipping of categorized rhythm anomalies for physician review.
- Name: Extended Monitoring · Price: ~$35–$65 per verified finding · Inclusions: Ingestion of up to 14 days of continuous telemetry from consumer or clinical wearables, priority flagging for critical events, and a hard cost cap per patient.
**Guarantee**: We guarantee a maximum 12-hour turnaround time for rhythm classification from file upload; if an analysis exceeds this window or a flagged finding is contested and overturned by the reviewing electrophysiologist, that finding is not billed.
**Business Function**: ProvideService
**Objection Handlers**:
- Our cardiologists will not trust an algorithm's diagnosis. -> Cadiotech does not issue a final diagnosis; it flags, clips, and categorizes specific telemetry segments solely for physician verification and final sign-off.
- We use proprietary patches that lock down their data. -> The system is designed to ingest standard DICOM-ECG and EDF exports, bypassing proprietary analytics dashboards if the raw data is accessible.
- Billing per finding makes our monthly clinic costs unpredictable. -> We apply a hard cost cap per patient file, ensuring you never pay more than the equivalent cost of a standard outsourced manual Holter read.
- How does this connect to our existing charting workflow? -> Outputs are formatted as HL7-compatible reports intended for direct routing into existing EHR cardiology modules without requiring a separate web portal.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and precise with an emphasis on uncompromising diagnostic rigor
**Tagline**: Verified cardiac rhythm diagnoses from any continuous telemetry device
**Icon Concept**: caliper
**Palette Intent**: institutional-cool
**Visual Identity**: Crisp sans-serif typography anchors a slate blue and stark white palette accented by subtle telemetry grid line motifs.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Cadiotech → Cardiology Clinic Administrator → Clinical Cardiologist → Cardiac Patient
**Gtm Motion**: Direct outreach to clinic administrators and lead electrophysiologists proposing a pilot to process backlogged Holter data. Expansion occurs organically through the per-finding pricing model as clinics route additional clinical and consumer telemetry streams away from proprietary hardware portals and into this unified system.
**Agent Channel**: Designed to list in clinical AI tool registries and SMART on FHIR developer catalogs, enabling autonomous patient-triage agents to discover and invoke the rhythm classification API when encountering raw ECG telemetry in a patient record.
**Primary Channel**: Targeted exhibition at specialized electrophysiology conferences (such as the Heart Rhythm Society meeting) and intended listings in EHR app directories (like the Epic Showroom) to intercept clinical administrators searching for vendor-neutral telemetry analysis.

## Startup Customer Journey

```mermaid
flowchart LR; A[EP Conference Booth] --> B[Backlog Pilot]; B --> C[First Verified Finding]; C --> D[Routine Holter Pipeline]; D --> E[Extended Wearable Monitoring]; E --> F[EHR Directory Reference];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day retrospective data pilot: Ingest 100 historical 48-hour Holter files from an outpatient clinic to prove >98% atrial fibrillation sensitivity compared to their existing physician-signed reports.
- 60-day live parallel pilot: Run new 14-day continuous telemetry files through the system alongside existing manual workflows to validate the 12-hour turnaround guarantee and measure actual physician time saved per file review.
**Target Metrics**:
- Target: 40% reduction in manual Holter analysis time per patient.
- Aim: >98% sensitivity for atrial fibrillation detection against established benchmark clinical datasets.
- Target: 100% adherence to the maximum 12-hour turnaround time for rhythm classification from file upload.
- Aim: Under two hours of compute time to process raw 14-day wearable telemetry files.
**Target Case Studies**:
- Mid-sized outpatient cardiology clinic: Target reducing patient wait times for diagnosis by shifting from manual, multi-day Holter analysis to same-day physician verification of Cadiotech-flagged rhythm clips.
- Regional health system electrophysiology department: Target integrating 14-day continuous wearable telemetry into standard EHR workflows without adding FTEs, validating that capped per-finding pricing remains below traditional outsourced read costs.
**Testimonial Targets**:
- Chief Electrophysiologist: Validation that the system accurately clips and categorizes relevant telemetry segments for quick review without attempting to overstep into final diagnosis.
- Cardiology Practice Manager: Confirmation that the hard cost cap per patient ensures predictable billing that remains lower than the cost of outsourced manual reads.
- Clinical IT Director: Relief that standard DICOM-ECG and EDF exports flow directly into existing EHR modules via HL7-compatible reports without requiring staff to monitor a separate web portal.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: FDA rejects the 510(k) clearance for the rhythm classification software as a medical device, blocking commercial deployment. · Mitigation Status: in-progress
- Severity: high · Description: Traditional hardware manufacturers block third-party API access to telemetry data to protect their closed diagnostic ecosystems. · Mitigation Status: unmitigated
- Severity: high · Description: Health insurance payers refuse to reimburse the per-verified-finding billing model due to incompatible existing CPT code structures. · Mitigation Status: unmitigated
- Severity: moderate · Description: The classification algorithm produces excessive false positives on noisy ambulatory data, leading cardiologists to abandon the tool. · Mitigation Status: in-progress

## Startup Competitors

- [iRhythm](/Competitors/iRhythm) — Incumbent
- [Preventice Solutions](/Competitors/Preventice_Solutions) — Incumbent
- [Manual Holter Analysis](/Competitors/Manual_Holter_Analysis) — Status Quo
- [Bardy Diagnostics](/Competitors/Bardy_Diagnostics) — Hardware Provider
- [Philips BioTelemetry](/Competitors/Philips_BioTelemetry) — Incumbent
- [AliveCor Enterprise](/Competitors/AliveCor_Enterprise) — Digital Health

## Startup Solution Stack

- [Verified Diagnostics Service](/Services/Verified_Diagnostics_Service) — Service-as-Software
- [Telemetry Parsing Agent](/Agents/Telemetry_Parsing_Agent) — Agent
- [Rhythm Classification Worker](/Agents/Rhythm_Classification_Worker) — Agent
- [Device Agnostic Ingestion API](/Software/Device_Agnostic_Ingestion_API) — Software
- [Continuous Telemetry Engine](/Software/Continuous_Telemetry_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the clinical authority focused on treatment decisions, not a waveform proofreader
- **Want**: to process continuous telemetry data without the 14-day manual analysis backlog
- **Identity**: the outpatient cardiology lead managing heavy patient monitoring volumes
**Plan**:
- Step: Upload telemetry · Detail: Drop standard DICOM-ECG or EDF files from any patch or consumer clinical wearable into the queue.
- Step: Validate findings · Detail: Review pre-clipped, categorized rhythm anomalies instead of scrolling through days of raw waveform data.
- Step: Route report · Detail: Send the final HL7-compatible findings directly into your EHR cardiology module for clinical sign-off.
**Guide**:
- **Empathy**: Does your Holter review process still bury your specialists in thousands of false-positive artifact flags?
**Problem**:
- **Villain**: manual Holter analysis
- **External**: Reviewing 14-day wearable files in iRhythm or proprietary dashboards requires hours of clinical time per patient to filter artifacts.
- **Internal**: You feel like an expensive data-entry clerk sorting through weeks of static to find one atrial fibrillation event.
- **Philosophical**: Why should cardiologists accept weeks of clinical debt when continuous telemetry is supposed to accelerate care?
**Success**: Clinicians review verified cardiac findings in minutes, enabling immediate treatment plans and faster patient throughput.
**One Liner**: What if identifying atrial fibrillation didn't require hours of manual waveform scrolling? Cadiotech maps continuous patient telemetry to diagnostic rhythm classifications, delivering verified findings for physician sign-off in hours.
**Positioning**:
- **So That**: Eliminate analysis backlogs with hardware-agnostic, verified rhythm clips.
- **Unlike**: Manual Holter analysis services
- **For Whom**: Outpatient cardiology clinics and monitoring leads
- **Category**: Diagnostic cardiac rhythm telemetry service
**Call To Action**:
- **Direct**: Submit a telemetry file
- **Transitional**: View sample HL7 report
**Failure Stakes**:
- 14-day diagnostic backlogs
- Lost clinical billing revenue
- Specialist burnout from screen fatigue
**Transformation**:
- **To**: the cardiology department's diagnostic pilot
- **From**: a cardiologist lost in 14-day Holter waveforms
**Controlling Idea**: Diagnostic cardiology belongs to the physician, the data-sorting belongs to the machine.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if identifying atrial fibrillation didn't require hours of manual waveform scrolling? Cadiotech maps continuous patient telemetry to diagnostic rhythm classifications, delivering verified findings for physician sign-off in hours.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 4c2e446e8d8b653e

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Diagnostic cardiac rhythm telemetry service for Outpatient cardiology clinics and monitoring leads. Unlike Manual Holter analysis services — Eliminate analysis backlogs with hardware-agnostic, verified rhythm clips..
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: c56882140b2ff4a9

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Reviewing 14-day wearable files in iRhythm or proprietary dashboards requires hours of clinical time per patient to filter artifacts.
Solution: What if identifying atrial fibrillation didn't require hours of manual waveform scrolling? Cadiotech maps continuous patient telemetry to diagnostic rhythm classifications, delivering verified findings for physician sign-off in hours.
Customer: Outpatient cardiology clinics and monitoring leads
Unlike: Manual Holter analysis services
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 6b34e81b27ed742c

## Startup Token M E D D P I C C

**Pain**: Reviewing 14-day wearable files in iRhythm or proprietary dashboards requires hours of clinical time per patient to filter artifacts.
**Metrics**: Target: Clinicians review verified cardiac findings in minutes, enabling immediate treatment plans and faster patient throughput.
**Rendered**: Pain: Reviewing 14-day wearable files in iRhythm or proprietary dashboards requires hours of clinical time per patient to filter artifacts.
Economic buyer: Cardiology Clinic Administrator
Metrics: Target: Clinicians review verified cardiac findings in minutes, enabling immediate treatment plans and faster patient throughput.
Competition: Manual Holter analysis services
**Mechanism**: spine-derived-v1
**Competition**: Manual Holter analysis services
**Economic Buyer**: Cardiology Clinic Administrator
**Vocab Fingerprint**: 3d0b403874265461

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Diagnostic cardiac rhythm telemetry service for Outpatient cardiology clinics and monitoring leads

Outpatient cardiology clinics and monitoring leads — Reviewing 14-day wearable files in iRhythm or proprietary dashboards requires hours of clinical time per patient to filter artifacts. What if identifying atrial fibrillation didn't require hours of manual waveform scrolling? Cadiotech maps continuous patient telemetry to diagnostic rhythm classifications, delivering verified findings for physician sign-off in hours.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: aa9ce099ef37ff8c

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Diagnostic cardiac rhythm telemetry service. What if identifying atrial fibrillation didn't require hours of manual waveform scrolling? Cadiotech maps continuous patient telemetry to diagnostic rhythm classifications, delivering verified findings for physician sign-off in hours. Serves Outpatient cardiology clinics and monitoring leads.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: c77b3daa94fbf32a

## Neighborhood

### Candidate solutions

- [Bioinformatics Talent Sourcing](/Problems/Bioinformatics_Talent_Sourcing) — candidate solution for · Problems

### Composed of

- [Verified Diagnostic Service](/Services/Verified_Diagnostic_Service) — composes · Services
- [Telemetry Parsing Agent](/Agents/Telemetry_Parsing_Agent) — composes · Agents
- [Continuous Telemetry Engine](/Software/Continuous_Telemetry_Engine) — composes · Software
- [Device Agnostic Ingestion API](/Software/Device_Agnostic_Ingestion_API) — composes · Software
- [Rhythm Classification Worker](/Agents/Rhythm_Classification_Worker) — composes · Agents

### What it offers

- [Cardiac Rhythm Classifier](/Services/Cardiac_Rhythm_Classifier) — offers · Services

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Competitors

- [Bardy Diagnostics](/Competitors/Bardy_Diagnostics) — competes with · Competitors
- [AliveCor Enterprise](/Competitors/AliveCor_Enterprise) — competes with · Competitors
- [Philips BioTelemetry](/Competitors/Philips_BioTelemetry) — competes with · Competitors
- [Preventice Solutions](/Competitors/Preventice_Solutions) — competes with · Competitors
- [Manual Holter Analysis](/Competitors/Manual_Holter_Analysis) — competes with · Competitors
- [iRhythm](/Competitors/iRhythm) — competes with · Competitors

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