Built by people who've spent years inside the claims pipeline

ClaimIQ AI isn't built by outsiders guessing at healthcare. It's built by data engineers who have processed millions of claims, mapped FHIR resources, and lived inside the revenue cycle — and got frustrated watching preventable denials drain revenue every single day.

Our vision

A world where no clean claim ever gets denied

86% of claim denials are preventable. That means billions of dollars are lost every year not because of bad care or incorrect billing — but because of avoidable errors that the right technology could catch in milliseconds. We're building that technology.

Our mission

Give every RCM team an AI co-pilot for claim accuracy

Enterprise RCM tools cost a fortune and take months to implement. Small and mid-market teams deserve the same AI-powered denial prevention — without the enterprise price tag or the painful integration. ClaimIQ is that equaliser.

From building claims pipelines to preventing claim denials

ClaimIQ AI was born from a frustration that anyone who has worked in healthcare revenue cycle will recognise.

Our founder, Niranjan, spent years as a data engineer building healthcare claims processing pipelines — ingesting Kafka messages, transforming FHIR R4 data, validating eligibility, and generating the NDJSON outputs that feed into payer systems. He saw the entire claims lifecycle from the inside: how data flows from patient registration to claim submission to payer adjudication.

And he saw, over and over again, the same preventable denials costing providers millions. A missing modifier. An expired authorization. A CPT-ICD mismatch that any experienced biller would catch — if they weren't drowning in a backlog of 500 other claims.

The data to prevent most denials already exists inside the claim. The problem isn't information — it's that nobody is looking at it systematically before hitting submit.

— Niranjan, Founder of ClaimIQ AI

That insight became ClaimIQ AI. Instead of building another claims management system — another tool that RCM teams would need to learn, integrate, and maintain — we built a lightweight AI layer that sits on top of whatever they already use. No rip-and-replace. No 6-month implementation. Just smarter claims going out the door.

ClaimIQ AI is a product of Astawakran Tech, an IT firm focused on building AI-powered solutions for healthcare.

N

Niranjan

Founder & CEO
Astawakran Tech · ClaimIQ AI

Healthcare data engineer turned founder. Niranjan has spent years building production-grade claims processing pipelines on Azure Databricks, working with FHIR R4 data transformation, Kafka-based real-time ingestion, and end-to-end revenue cycle workflows.

His deep technical understanding of how claims data flows — from 837 file parsing through eligibility checks to payer adjudication — is the foundation ClaimIQ AI is built on. He doesn't just understand the denial problem theoretically; he's seen the exact data patterns that cause denials at the pipeline level.

Azure & Databricks
FHIR R4
Kafka Pipelines
AI Agent Builder
Claims Processing
Python & ML

Built on real healthcare data engineering experience

ClaimIQ isn't a generic AI tool repurposed for healthcare. Every component is informed by years of hands-on claims pipeline work.
🗒

Claims pipeline architecture

We've built production pipelines that ingest real-time Kafka messages, perform eligibility checks, transform claim data, and generate outputs for payer systems — processing millions of claims.

Kafka Azure Databricks Delta Live Tables
🏥

FHIR R4 & healthcare standards

Deep experience with FHIR R4 data transformation, 837/835 EDI formats, NDJSON generation, and healthcare interoperability standards. We speak the language of healthcare data natively.

FHIR R4 837/835 EDI HL7
🤖

AI agent development

Actively building real-task-performing AI agents with Claude API, Supabase, and modern LLM tooling. ClaimIQ's fix suggestion engine is powered by the same agentic architecture.

Claude API XGBoost Python ML

How we build ClaimIQ

Four principles that guide every product decision we make.
01

Prevention over recovery

Fixing a denied claim costs $25-$181 and takes days. Preventing it costs pennies and takes milliseconds. We obsess over stopping denials before they happen, not cleaning up after.

02

Layer, don't replace

Your team has spent years learning their current systems. We don't ask them to switch. ClaimIQ sits quietly on top — improving what exists, disrupting nothing.

03

Actionable, not theoretical

A risk score without a fix suggestion is useless. Every flagged claim comes with the exact field, the exact issue, and the exact fix. Your billers know what to do in 10 seconds.

04

Earn trust with results

We offer free pilots because we believe in proving value before asking for commitment. If ClaimIQ doesn't reduce your denials in 30 days, you owe us nothing.

Building ClaimIQ AI

2020 — 2025

Years in healthcare data engineering

Building claims processing pipelines, working with FHIR R4, Kafka, Azure Databricks, and learning the denial problem from the inside out.

Early 2026

Astawakran Tech founded

Launched the parent company with a mission to bring AI-powered solutions to healthcare.

March 2026 — Now

ClaimIQ AI in development

Building the core prediction engine, payer rules database, and dashboard. Actively seeking pilot customers for early access.

Q2 2026

First pilot launches

Free 30-day pilots with mid-market RCM companies. Proving the model with real claims data and measuring denial reduction.

Q3-Q4 2026

Public launch & scaling

ML models trained on real outcomes, real-time API scoring, Kafka streaming for enterprise, and expansion to 10+ payers.

Ready to stop losing revenue
to preventable denials?

Talk to our founder directly. We'll show you exactly how ClaimIQ AI can fit into your existing workflow.

Talk to the founder →
No sales team. No gatekeepers. Direct access to the person building it.