Confidential · For Investor Use Only · Radiant Network · radiantnetwork.ai
Radiant Network
Pre-Seed SAFE · 2026

Radiant Network

Routing and revenue intelligence
for multi-state radiology groups

Founder
Sam Brooker
Contact
radiantnetwork@proton.me
Website
radiantnetwork.ai
The Problem

Radiology's revenue cycle
is stuck in 1995.

Radiologists sign reports — then hand off to a fragmented, manual process that leaks time and money at every step.

01
Manual coding delays. After sign-off, studies sit in a queue for human coders — adding 24–72 hrs before a claim is even filed.
02
$55–70k per coder. Most practices employ 2–4 full-time billing staff. Pure overhead with no clinical value.
03
5–10% denial rates. Wrong codes, missing modifiers, wrong payer rules — each denial costs $25–50 to rework and delays payment by weeks.
04
Multi-state licensing chaos. Independent groups covering multiple states manually track IMLC status, renewal deadlines, and credentialing — missing lapses until a claim bounces.
The Manual Workflow Today
1 Radiologist signs report
2 Report sits in coder queue 24–72 hrs
3 Manual CPT / ICD-10 assignment
4 Claim submitted — 5–10% denied
5 Denial rework — add 2–3 weeks
The result: A signed report that should generate revenue in minutes takes days — costing the average group $200–400k/year in coder salaries, denials, and delayed cash flow.
The Solution

Sign-off to submitted claim.
Under 60 seconds.

Radiant Network is a 5-stage agentic AI pipeline that takes over the moment a radiologist signs — handling everything through claim submission automatically.

01
📥
Study Intake
DICOM validation
& ingestion
02
🧠
AI Pre-Analysis
Claude Sonnet
structured findings
03
✍️
Physician Sign-Off
Radiologist reviews
AI findings & signs
04
🏷️
Auto Coding
CPT + ICD-10
in seconds
05
💳
Claim Submitted
To clearinghouse
automatically
Differentiator

We start where Rad AI stops.

Diagnostic AI detects findings. Radiant Network takes those findings and completes the entire revenue cycle — routing, sign-off, coding, billing — automatically.

Not a replacement

Orchestration, not disruption.

We sit on top of existing PACS, RIS, and EHR systems. No rip-and-replace. Groups keep their current tools — Radiant connects and automates the gaps between them.

Multi-state ready

IMLC routing built in.

Real-time license validation across 40+ IMLC states. Studies are routed only to credentialed, licensed radiologists — automatically, with no manual checks.

Platform & Moat

Three pillars.
One growing network.

Each pillar eliminates a distinct operational burden for radiologists and group administrators. Together, they create a network that compounds in value as more groups join.

⚡
Workforce Orchestration
Right radiologist. Right study. Right now.
Real-time routing across your credentialed network — filtered by state license, subspecialty, malpractice status, and live workload. STAT studies are never manually assigned.
✓STAT routing in seconds, not hours
✓Subspecialty & modality matching
✓Live workload balancing across the group
✓Multi-state IMLC credential validation
🛡️
Licensing Intelligence
Coverage gaps caught before they become compliance gaps.
Continuous monitoring of multi-state license status, renewal timelines, and malpractice coverage across the entire network. Groups stop discovering lapses when a claim bounces.
✓IMLC compact status — all radiologists, always
✓Renewal alerts before lapses occur
✓Coverage risk scoring
✓What-if scenario modeling
🧠
AI-Assisted Revenue Cycle
Decision support, not autonomous diagnosis.
Claude Sonnet surfaces structured findings before the radiologist reads. Sign-off triggers auto-coding and claim submission — closing the loop from intake to reimbursement in under 60 seconds.
✓AI pre-analysis loaded before the read
✓Critical result escalation to referring MD
✓Auto CPT / ICD-10 coding
✓Claim submitted to clearinghouse automatically
The Network Effect — Why This Gets Harder to Compete With Over Time

Every group that joins adds credentialed radiologists to the routing pool. More radiologists means denser subspecialty coverage across more states. Denser coverage means faster STAT routing for every group on the network. No point solution can replicate a multi-group credentialed network — it has to be built over time, one partner at a time.

More groups join
↓
Denser rad network
↓
Faster STAT routing
↓
Better outcomes for all
↺
Product

One worklist.
One workflow. End to end.

Live Today — Working Prototype
✓
AI-assisted worklist — STAT prioritization, IMLC routing, subspecialty matching
✓
Claude Sonnet findings — structured AI pre-analysis surfaced before radiologist reads
✓
Critical result escalation — auto-alert to referring physician on critical findings
✓
Auto CPT / ICD-10 coding — from signed report to coded claim in seconds
✓
Claim submission — to clearinghouse automatically after coding
✓
3rd-party AI import — Rad AI, Aidoc, Viz.ai findings via DICOM SR / HL7 FHIR
Post-Seed Roadmap
→
Denial management — tracking, appeal suggestions, payer trend analysis
→
QA & peer review — randomized assignment, discrepancy tracking
→
Practice analytics — RVU tracking, turnaround by modality, benchmarking
Radiant Network live demo
STAT · FL · Neuroradiology
Claim submitted · $374.66
Sign-off → Claim
<60s
vs. 24–72 hrs
Gross Margin
88%
software-only
Business Model

Two tiers. Aligned with outcomes.
Scales with volume and value.

Tier 1 · Operations
$3
per study
Routing · Licensing
Workforce Orchestration
Tier 2 · Revenue Cycle
1.5%
of net collections
Coding · Claims
Only on claims we file
Traditional billing companies charge 4–8% of collections and still employ humans. Radiant charges $3 flat + 1.5% — fully automated, higher accuracy, zero headcount.
Unit Economics — 10-Radiologist Group
Studies / month5,500
Tier 1 — routing ($3/study)$16,500
Tier 2 — billing (1.5% × ~$130 avg)$10,725
Total MRR$27,225
Gross margin~87%
Denial recovery value (5%→<2%)~$21k / mo
Net ROI positive from day 1. Denial reduction alone recovers more than the fee difference vs. in-house coders — before accounting for speed, accuracy, and eliminated headcount.
Why the hybrid model wins
✓
Skin in the game. We make more when groups collect more — incentives are perfectly aligned on coding accuracy and denial prevention.
✓
Land with Tier 1. Groups start with routing and licensing ($3 flat), then add revenue cycle automation when ready. Natural expand motion.
✓
Captures complexity. A brain MRI at $1,000 earns $15 in Tier 2. A plain film at $25 earns $0.38. Revenue scales with clinical value delivered.
✓
No negotiation. Usage-based, no seat licenses, no setup fees — groups start immediately, billed on what flows through.
Revenue Milestones
Month 6 · 5 groups $15k MRR
Month 12 · 10 groups $75k MRR
Year 1 ARR run rate $900k
Market Size

35,000 radiologists.
$20.2B flowing through the workflow.

TAM — Total US Radiology
$20.2B
Radiology practice revenue, 2024
SAM — Independent Groups
~$197M
Groups of 5–30 rads · hybrid model
SOM — Year 1–3 Target
$2–5M
10–25 groups · shadow run to paid
Why Independent Groups First
✓
Fastest sales cycle. 5–30 person groups decide in weeks, not quarters. No enterprise procurement.
✓
Highest pain. Large hospital systems have RCM departments. Independent groups are running lean with 1–2 coders.
✓
Network beachhead. Each group adds IMLC routing capacity — making the network more valuable for everyone.
✓
Expansion path clear. Independent → regional network → health system. Same product, larger contract.
Market Context
US radiologists35,000
Studies per radiologist / yr~6,000
Total studies / yr (US)~210M
Routing tier ($3 × 210M studies)$630M
Billing tier (1.5% of $20.2B)$303M
Full platform — blended ~$5/study~$1.0B
Teleradiology market (2023)$957M growing
Competitive Landscape

A validated market.
A clear lane.

The incumbents split into two camps — workflow-only or billing-only. No one connects both with intelligent routing. That's our lane.

Capability Radiant Network Sirona Medical ImagineOne StreamlineMD
IMLC routing intelligence ✓ ✕ ✕ ✕
License compliance monitoring ✓ ✕ ✕ ✕
AI-assisted RCM (auto CPT / ICD-10) ✓ ✕ PARTIAL PARTIAL
Overlay — no rip-and-replace ✓ PARTIAL ✕ ✕
Transparent per-study pricing ✓ ✕ ✕ ✕
Shadow run / low-risk onboarding ✓ ✕ ✕ ✕
Sirona Medical · Series C $42M
Workflow-only. No billing, no IMLC. Cloud-native but long enterprise sales cycles.
ImagineOne · PE-backed
Billing-only. 20+ year incumbent. Multi-specialty, no routing intelligence. Slow to innovate.
StreamlineMD · Niche RCM
Radiology billing only. Traditional RCM, no AI coding, no routing. No integration story.
Traction

Early. Moving fast.
Real pipeline. Real workflow.

What's Live Now
✓
Working prototype — full 5-stage pipeline running end-to-end with real AI (Claude Sonnet)
✓
Live demo — 5 scenario simulations showing STAT routing, critical findings, Rad AI import, billing  radiantnetwork.ai ↗
✓
Radiologist advisor — credentialed physician providing clinical validation and workflow feedback
✓
Shadow run pilot in progress — read-only access to live workflow data, validating routing and coding accuracy
✓
Public landing page — radiantnetwork.ai with investor and shadow run inquiry pipeline
The Shadow Run Model

Shadow mode is our GTM wedge — read-only access to a group's live workflow. We run our pipeline in parallel with their existing process, showing exactly what we would have coded and billed. Zero risk to the group.

1 Group shares read-only workflow access
2 Radiant runs in parallel — no disruption
3 We show accuracy + revenue recovered
4 Group converts to paid — no negotiation
The shadow run sells itself. When we show a group they missed $40k in coding accuracy last quarter, conversion is straightforward.
Team

Small team.
Moving with urgency.

Sam Brooker
Sam Brooker
Founder & CEO
Building the operational infrastructure radiology networks need to scale — from study intake to paid claim.
✓
Built working prototype end-to-end
✓
Deep domain research in radiology operations and RCM
✓
Secured radiologist advisor relationship
✓
Shadow run pilot in negotiation
BE
Contract Engineer
Backend & Integrations
✓
DICOM, HL7 FHIR, clearinghouse integrations
✓
FastAPI backend, production-ready architecture
✓
Converting to full-time with seed funding
Hiring Roadmap
RoleStage
Backend engineer (contractor → FT)Pre-Seed
HIPAA / compliance counselPre-Seed
Clinical advisor (radiology billing)Seed
Founding sales / partnershipsSeed
Advisors & Relationships Sought
→
Radiology group owner — clinical validation + warm intros to peers
→
RCM / billing expert — coding accuracy validation, payer relationship context
→
Healthtech investor — HIPAA, regulatory, GTM playbook for clinical workflows
The Ask

Raising $400–500k Pre-Seed SAFE
to reach the data milestone. $2.5M seed follows.

Stage 1 · Raising Now
$400–500k
Pre-Seed SAFE · angel investors
✓
Sign 2–3 shadow run partners
✓
HIPAA BAA signed, legal entity set
✓
Hire engineering contractor (FT)
✓
6–9 month runway to data milestone
shadow run data
→
Stage 2 · Target Q4 2026
$2.5M
Seed Round · once shadow run validates
✓
Scale engineering & integrations
✓
Dedicated sales motion (shadow → paid)
✓
Full compliance & HIPAA infrastructure
✓
18-month runway to $75k MRR
Milestone Path
M2
Shadow run signed · HIPAA BAA executed
M6
Data milestone hit · seed raise begins
M9
First paying group live · $15k MRR
M18
10 groups · $75k MRR · Series A ready
Radiant Network
Get in Touch
Sam Brooker
radiantnetwork@proton.me
Radiant Network
Radiant Network
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