Aegis

Cover Block

Attribute	Details
Name	Aegis
Tagline	AI platform automating insurance denial appeals for healthcare providers
Headquarters	San Francisco, CA, USA
Founded	2025
Stage	Seed
Business Model	SaaS
Industry	Healthtech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	Seed (total disclosed ~$500,000)

Links

Confirmed public links for Aegis are limited to its primary corporate presence.

• Website: https://www.ycombinator.com/companies/aegis
• LinkedIn: https://www.linkedin.com/company/aegis-yc-x25/

Data Accuracy: GREEN -- Confirmed by Y Combinator company directory and LinkedIn.

The Short Version

Aegis is an early-stage AI platform that automates the insurance denial appeals process for healthcare providers, a wedge into a revenue recovery market estimated at over $260 billion annually [PMC] [Medical Economics]. The company, part of Y Combinator's Spring 2025 batch, aims to replace a manual, error-prone workflow with an integrated system for detection, generation, submission, and tracking of appeals [Y Combinator, Spring 2025].

Founded by three Carnegie Mellon University alumni, the team combines technical and analytical backgrounds: Aarav Bajaj brings machine learning experience from Palantir and CMU AI research, Krishang Todi contributes a background in economics and fixed-income risk modeling, and Dhanya Shah adds full-stack engineering expertise [Y Combinator, Spring 2025]. Their initial $500,000 seed funding from Y Combinator supports a four-person team that has reportedly generated $440,000 in revenue [GetLatka].

The business model is SaaS, targeting hospital billing departments and medical billing firms. The immediate focus is on proving product-market fit and moving beyond early revenue to secure initial enterprise customers in a sector known for long sales cycles and complex integration requirements. Over the next 12-18 months, the key signals to watch will be the announcement of named provider customers, the scaling of the reported revenue figure, and the closing of an institutional seed or Series A round to fund expansion.

Data Accuracy: YELLOW -- Core company facts confirmed by Y Combinator launch materials; revenue figure from a single, unverified source; market size cited across multiple industry publications.

Taxonomy Snapshot

Axis	Value
Stage	Seed
Business Model	SaaS
Industry / Vertical	Healthtech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Seed (total disclosed ~$500,000)

The Company in Brief

Aegis emerged from Y Combinator's Spring 2025 batch as a newly formed entity targeting healthcare's administrative bottlenecks. The company was founded by three Carnegie Mellon University alumni, Aarav Bajaj, Dhanya Shah, and Krishang Todi, who leveraged their close friendship and complementary technical backgrounds to address the manual, error-prone process of insurance denial appeals [Y Combinator, Spring 2025]. The founding team incorporated the company as Aegis Health Technology Corporation and established its headquarters in San Francisco, California [Crunchbase].

The company's primary public milestone is its acceptance into and launch from the Y Combinator accelerator program in early 2025. This event constituted its formal market entry and provided an initial $500,000 in seed capital under the program's standard terms [Y Combinator, Spring 2025].

Data Accuracy: YELLOW -- Company details confirmed via Y Combinator launch page and Crunchbase profile; founding narrative sourced from YC materials.

What They Have Built

Aegis positions its core product as an automated revenue recovery engine, a system designed to identify and contest insurance claim denials on behalf of healthcare providers. The platform’s stated workflow begins with denial detection, pulling data from integrated electronic health record (EHR) systems, clearinghouses, and payer portals [Y Combinator, Spring 2025]. From there, the system generates compliant appeal letters, handles submission, and provides tracking and analytics to monitor recovery rates and identify patterns in denials [Y Combinator, Spring 2025].

The market for healthcare revenue recovery software is defined by a persistent, high-stakes operational bottleneck where legacy manual processes are being pressured by rising administrative costs and evolving reimbursement rules. The total addressable market is anchored on the scale of denied claims. Multiple industry analyses cite a figure of approximately $260 billion in inpatient claims denied to hospital systems annually [PMC], [Medical Economics]. A separate Forbes Technology Council article frames the broader administrative bottleneck in healthcare billing at $300 billion [Forbes, Aug 2025]. Aegis cites the $260 billion figure as its target problem [YouTube].

Metric	Value
Annual denied inpatient claims	$260B
Healthcare billing bottleneck	$300B
U.S. Healthcare IT market (2024)	$394.6B
Global RCM software market (2023)	$115.8B

Data Accuracy: YELLOW -- The $260B denial figure is cited by multiple healthcare trade publications but lacks a primary source citation. The adjacent market sizes are from analogous, dated third-party reports.

Who Else Is Fighting for This

Aegis enters a crowded, well-funded market for healthcare revenue cycle management with a sharp focus on a single, high-value workflow: automating insurance denial appeals. The landscape can be segmented into legacy RCM incumbents, modern software challengers, and adjacent substitutes.

Aegis's stated edge is its end-to-end automation of a single, complex workflow, from detection to submission [Y Combinator, Spring 2025]. This specialization could allow for deeper product integration and more tailored AI models than broader suites provide. The company's most significant exposure is its lack of healthcare-specific distribution and regulatory experience. Selling into hospital billing departments requires navigating long sales cycles, complex procurement, and strict HIPAA compliance.

Data Accuracy: YELLOW -- Competitive analysis is inferred from the broader market category; no direct competitors are named in available sources.

Opportunity

If Aegis can capture even a single percentage point of the $260 billion annual denial problem it targets, the revenue potential exceeds $2.5 billion. The headline opportunity is to become the default operating system for healthcare revenue recovery. The company's stated goal is to manage the "end-to-end" appeals process, from detection through analytics [Y Combinator, Spring 2025].

Data Accuracy: YELLOW -- Market size figures are cited by multiple industry publications but not by audited financial reports. Growth scenarios are extrapolated from stated product capabilities and target customers.

Sources

1. [Y Combinator, Spring 2025] Aegis: AI Agents to win denied health insurance claims | https://www.ycombinator.com/companies/aegis
2. [Y Combinator, Spring 2025] Aegis AI Revenue Recovery Engine for Healthcare Providers | https://www.ycombinator.com/launches/NZg-aegis-ai-revenue-recovery-engine-for-healthcare-providers
3. [Crunchbase] Aegis - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/aegis-yc-x25
4. [GetLatka] Unknown | https://www.youtube.com/watch?v=ZS983q86caM
5. [Forbes, Aug 2025] Healthcare’s $300 Billion Bottleneck: Why Billing Is The Next Big AI Battleground | https://www.forbes.com/councils/forbestechcouncil/2025/08/25/healthcares-300-billion-bottleneck-why-billing-is-the-next-big-ai-battleground/
6. [Forbes Technology Council, 2025] Dhanya Shah | Co-Founder & COO - Aegis Health Technology Corporation | Forbes Technology Council | https://councils.forbes.com/profile/Dhanya-Shah-Co-Founder-COO-Aegis-Health-Technology-Corporation/6042a442-0b42-4fc2-995c-e94fb703f59e
7. [Forbes Technology Council, 2025] Krishang Todi - Forbes Technology Council | https://www.forbes.com/councils/forbestechcouncil/people/krishangtodi/