ARDIA PRECISION HEALTHGoverned AI for healthcare revenue & precision care
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About Ardia Precision Health

What Makes Us
Fundamentally Different

Founded December 2025 in Dallas-Fort Worth. Built by healthcare industry insiders who understand denial logic from the inside — not from the outside looking in.

The Problem with Every Other Solution

Alert-Based Systems Don't Solve Denials

Existing RCM tools flag errors after the fact. They tell you what was denied but not why — and not how to win the appeal. There's no clinical reasoning, no mechanistic explanation, no evidence generation. Just another alert to action manually.

General AI Has No Healthcare Context

Generic LLMs don't know that Palmetto GBA's LCD L38016 requires specific frequency justification language, or that Z-Codes must precede MolDX test submissions, or that a CYP2D6 ultrarapid metabolizer makes a negative opiate screen clinically expected. We do.

Enterprise Vendors Don't Serve Independent Labs

Waystar serves hospital systems. SmarterDx targets large health systems. XiFin focuses on billing middleware. Nobody is building AI-native clinical reasoning for independent toxicology and molecular labs. That's our market, and it's defensible.

The Ardia Difference

We Reason, Not Just Match

Our engine reads clinical documentation and reasons through it against payer-specific LCD criteria — the same cognitive process a medical director performs when reviewing an appeal. We generate the mechanistic "why" behind every recovery argument, not a template letter.

We Built Inside the Payer Systems

Our founder led software engineering inside Cigna and built systems across UnitedHealth Group, Optum and Teladoc; co-founder Manasa spent 10+ years across UnitedHealth Group, Interwell Health and ECFMG. We've engineered within the payer systems that decide coverage and generate denials — so we know the adjudication logic from the inside, and exactly what evidence reverses it.

Zero Risk Entry — Results First

We're so confident in our outcomes that we align our entire pricing model around them. 15-20% of recovered revenue only. Zero upfront. Zero implementation fees. If you don't recover, we don't get paid. That's how sure we are that we'll win.

👥 Leadership Team

Meet the Team

Two founders who engineered and operated inside the payer systems Ardia is built to navigate — with a CEO driving strategy, partnerships, and growth.

PK
Paramesh Kurapati
Chief Executive Officer

A practicing veterinary doctor since 2010–11, Paramesh leads business strategy, go-to-market, partnerships, and investor relations — bringing a clinical and scientific lens to Ardia's governed, non-diagnostic AI.

MJ
Manasa Jampani
Co-Founder

10+ years across UnitedHealth Group, Interwell Health, and ECFMG — inside the payer and health-services operations that decide coverage and manage care. She grounds Ardia's product direction and go-to-market in real-world workflows.

Founder & Principal AI / Data Architect
Sole technical builder · creator of TARA

Creator of the TARA reasoning framework. 15+ years in enterprise IT with direct healthcare-engineering roles — Software Engineering Lead at Cigna, Senior SDE at Teladoc, Senior Software Developer at ECFMG, and UnitedHealth Group — building inside the payer systems that generate denials.

Why Ardia — vs Every Alternative

Independent labs and specialty practices have been sold generic RCM tools, hospital-focused CDI, or rules-based clearinghouses. None were built for the specific denial logic, MAC rules, and clinical evidence requirements of toxicology and molecular diagnostics.

Capability ✦ ARDIA PRECISION HEALTH
Purpose-built for independent labs
XiFin RCM SmarterDx Waystar Change Healthcare
Toxicology Lab Focus
Purpose-built tox CPT logic, MAC routing, UDS protocol intelligence
Purpose-built · 80+ Panel
Full G0480–G0659 coverage, UDS presumptive/confirmatory logic, treatment center workflows, 24–72hr TAT support
Why it matters: Every toxicology denial requires knowledge of the specific CPT code, MAC LCD (L35006 etc.), and the clinical rationale for the test order. Generic RCM tools flag — Ardia resolves.
Generic billing only
Add-on labs module
Not applicable
Not applicable
Clinical AI Reasoning Engine
Autonomous appeal narrative — not rules triggers, not templates
Core Differentiator
Generates clinical-grade appeal narratives citing NCCN, ASCO, CPIC, AHA guidelines. Trained on MAC LCD logic. Designed to cite a verifiable source for each clinical claim, for licensed-practitioner review.
Why it matters: Denials are won with clinical evidence arguments, not billing corrections. SmarterDx does CDI for hospitals. Waystar fires rules. Neither argues clinical necessity the way a physician would — Ardia does.
Rules-based only
Hospital CDI only
Rule triggers only
No AI reasoning
MolDX / Z-Code Intelligence
NGS/PGx local coverage determination routing for all 7 MACs
Full Module · All 7 MACs
Automated Z-code routing, MolDX registry lookup, MAC-specific LCD cross-reference (CGS J-15, Palmetto J-M, WPS J-5/J-8, etc.). Pre-submission validation.
Why it matters: MolDX manages ~70% of all molecular diagnostic claims. Getting a NGS claim paid requires knowing the exact MAC, the Z-code, the LCD, and the supporting clinical evidence. Only Ardia handles this end-to-end.
Partial coverage
Not applicable
Not applicable
Not applicable
Pharmacogenomics (PGx)
CYP2D6, CYP2C19, SLCO1B1, TPMT, DPYD appeal intelligence
Included · 40+ Genes
CPIC guideline citations, failed medication trial documentation, prior authorization intelligence for all major PGx panels. CO-55 reversal strategy built-in.
Why it matters: PGx denials are overwhelmingly CO-55 (experimental). Reversing them requires citing CPIC Level A evidence plus documenting the failed antidepressant/statin trial. Ardia does this in seconds.
Not included
Not applicable
Not applicable
Not applicable
PAMA 2027 Rate Defense
Data collection automation, rate impact modeling, efficiency gap analysis
Built-in · Jan 2027 Cliff
Automated PAMA data collection (May 1–Jul 31 2026 window), rate impact projection per CPT code, cost-to-collect reduction to stay above new CLFS floor.
Why it matters: Labs that fail to submit PAMA data by Jul 31, 2026 face the full rate cliff Jan 1, 2027. Labs that do submit need to know which tests become economically unviable. Only Ardia models both.
Manual tracking only
Not applicable
Limited analytics
Not applicable
Texas SB 1188 Compliance
Human-in-loop review, US data residency, AI disclosure native
Native · Audit Trail Built-in
Every AI output requires practitioner review before action. Full immutable audit log. All data stored in US infrastructure. Patient-facing AI disclosure built in.
Why it matters: Texas SB 1188 (Sep 1, 2025) and TRAIGA (Jan 1, 2026) impose $250K penalties for non-compliant AI clinical tools. Ardia was designed to be compliant from day one — competitors retrofitted nothing.
Not addressed
Not addressed
Not addressed
Not addressed
Contingency Pricing
Zero upfront cost — provider pays only % of actual recovery
15–20% of Recovery
No subscription fees for early customers. No setup cost. No IT integration required for Phase 1. Providers pay only when Ardia successfully recovers a denied claim.
Why it matters: Independent labs cannot afford $50–150K/year SaaS subscriptions on top of thin margins. Contingency pricing eliminates all financial risk for the customer and aligns Ardia's incentives perfectly.
Per-claim fees
Subscription SaaS
Subscription SaaS
Subscription SaaS
Sales Cycle (Ind. Labs)
Time from first contact to live production
2–8 Weeks
No EHR integration required for Phase 1 — upload CSV or paste HL7 835. Lab director can go from zero to first denial analysis in minutes, not a months-long procurement cycle. PLG model eliminates procurement bottleneck.
Why it matters: Healthcare enterprise sales average 12–18 months. Ardia's product-led approach means a lab director can experience value before involving IT, legal, or procurement — compressing the cycle 10×.
6–18 months
6–12 months
6–18 months
3–9 months
Independent Lab Target Market
Who the product is optimized for
Built for Indep. Labs
Toxicology labs, molecular diagnostic labs, specialty practices, MAT/OTP clinics, pulmonary & respiratory practices. The exact customer segment every enterprise vendor ignores.
Why it matters: Enterprise RCM vendors (XiFin, Waystar, Change Healthcare) target hospital systems and large reference labs. Independent labs — 7,000+ in the US — are underserved, undertooled, and overly denied.
Enterprise labs only
Hospital systems
All sizes, generic
Large systems
Pulmonary & Respiratory RCM
PFT, sleep-study & respiratory-panel denial recovery
PulmoIQ™ Module
Applies clinical AI reasoning to pulmonary and respiratory claims — pulmonary function tests, sleep studies, and respiratory pathogen panels — anchoring each appeal to the applicable clinical-necessity evidence and MAC coverage policy.
Why it matters: Pulmonary and respiratory tests are frequently denied for documentation and medical-necessity gaps. PulmoIQ™ is built to argue clinical necessity for exactly these specialty claims, where generic RCM tools carry no coverage logic.
Not applicable
Not applicable
Basic analytics only
Not applicable
Upgrade-Ready Architecture
QAOA/VQE appeal optimization · NIST PQC migration roadmap
Phase 4 · 2032+
Quantum Approximate Optimization Algorithm for denial queue sequencing. Post-quantum cryptography migration plan per NIST 2024 standards. QUBO formulation for batch processing.
Why it matters: Quantum optimization for claims workflows is a speculative, long-range research interest — not a capability we claim today. Ardia's Phase 4 roadmap simply keeps the architecture open to explore these methods if and as the field matures.
No roadmap
No roadmap
No roadmap
No roadmap
The Bottom Line

No competitor was purpose-built for independent toxicology labs, molecular diagnostics, and pulmonary specialty practices. XiFin handles billing. SmarterDx does hospital CDI. Waystar is a clearinghouse. Ardia is the only platform that applies clinical AI reasoning specifically to the denial codes, MAC LCDs, and evidence standards that govern independent lab reimbursement.

$118
Avg manual appeal (industry benchmark · Change Healthcare 2023)
45%
Manual appeal success rate — industry avg (HFMA 2024)
2–8wk
Sales cycle
Product Roadmap

Jan 2026 → Q2 2032+ · 6-Phase Strategic Plan

From DFW toxicology MVP to multi-specialty global precision medicine infrastructure — explore the full roadmap.

View Full Roadmap →