Funding News

Tross Raises Pre-Seed Funding — An Indian Startup Building the API Layer That Lets Healthcare AI Companies Connect to US EHRs, Payer Portals, and Legacy Health Systems

By Mustafa Shariff, Editor in Chief · August 26,2026 · 2 mins read

Mustafa Shariff, Editor in Chief — Tross Raises Pre-Seed Funding — An Indian Startup Building the API Layer That Lets Healthcare AI Companies Connect to US EHRs, Payer Portals, and Legacy Health Systems

Summary

  • Tross Raises Pre-Seed From All In Capital: Indian Startup Building the API Layer for Healthcare AI Companies to Connect to US EHRs and Payer Systems
  • Tross (co-founders Padam Kataria and Meet Shah) raised a pre-seed led by All In Capital and DeVC — building the API and data integration layer enabling healthcare AI companies to connect to US EHRs, payer portals, and legacy health systems, automating scheduling, referrals, claims, and clinical documentation.

"Healthcare AI companies build great models but then spend months trying to connect them to Epic, Cerner, or a payer portal. The integration work is painful, undifferentiated, and it kills velocity. Tross takes that problem away. We are the infrastructure layer — the API and data connector — that lets an AI company go from demo to production in days instead of months. Our customers are building the future of healthcare AI. We are building the pipes that future runs on."

Tross, a healthcare AI infrastructure startup co-founded by Padam Kataria and Meet Shah, raised an undisclosed pre-seed funding round led by All In Capital, with participation from DeVC, announced on August 20, 2026. The capital will be used to accelerate product development, expand the engineering team, and build additional EHR and payer integrations as Tross deepens its presence in the US healthcare market.
What Tross Builds
Tross is building the infrastructure layer — specifically, the API and data layer — that enables healthcare AI companies to connect with and operate across the complex, fragmented systems that define US healthcare: Electronic Health Records (EHRs such as Epic and Cerner), payer portals, and other legacy healthcare software systems.
The problem Tross solves is a known and significant bottleneck in healthcare AI deployment. A healthcare AI company may have a clinically validated, commercially ready product — an AI scheduling agent, a prior authorisation automation tool, a clinical documentation assistant, a referral management system — but deploying it requires deep, custom integration with each hospital or health system's EHR and each payer's portal. These integrations are technically difficult, time-consuming, and undifferentiated work that consumes engineering capacity that AI companies would rather direct toward their core product.
Tross's platform abstracts this integration complexity away. Healthcare AI companies connect to Tross's APIs and data layer once, and Tross handles the complex, system-specific integration work across multiple EHRs and payer portals. This model — often described as a 'Plaid for healthcare AI', referencing the banking API layer that enabled fintech companies to connect to bank accounts — accelerates the path from AI product development to clinical deployment significantly.
What the Platform Automates
Tross's platform currently supports automation across a range of critical healthcare workflows: patient scheduling and appointment management, referral processing and coordination, claims submission and status checking, prior authorisation requests and follow-up, clinical documentation upload and retrieval, data extraction from EHR records, and patient communication workflows. Each of these workflows currently requires manual staff effort at hospitals, clinics, and insurance companies — making them natural targets for AI automation, and therefore natural targets for the integration infrastructure that enables AI agents to operate within these workflows.
US Market Focus
Tross's primary market is the US healthcare system — which, despite being the world's largest healthcare market by spending, is characterised by extraordinary fragmentation at the systems layer. US hospitals use dozens of different EHR systems, each with proprietary APIs, different data standards, and varying levels of interoperability. US payers operate their own portals with distinct login systems, workflows, and data formats. This fragmentation creates precisely the integration complexity that an infrastructure layer like Tross is designed to resolve.
Tross is already working with healthcare AI companies serving the US market and is on track to facilitate more than 200,000 patient interactions in 2026 across calls, referrals, scheduling, and back-office workflows — a deployment scale that demonstrates the platform is past the proof-of-concept stage and into early commercial traction.
The India-Built, US-Serving Model
Tross is an India-based startup — a model that is increasingly common in healthcare technology: Indian engineering talent and startup economics, building infrastructure that serves the world's largest and most complex healthcare market. This follows a pattern established by companies like Innovaccer (health data platform for US health systems), CARPL.ai (radiology AI infrastructure), and Care.fi (AI-powered healthcare revenue cycle management, $8 million Series A in February 2026) — all Indian-founded companies building healthcare AI infrastructure for the US market.
BHC Perspective
At Bengaluru Health Community, Tross is a healthcare AI infrastructure story that is directly relevant to BHC's technology founders building in the US healthcare market. The integration layer problem that Tross solves is one of the most consistently cited barriers to healthcare AI deployment — every AI company building for US hospitals and payers encounters it. For BHC founders building healthcare AI products targeting the US market — Tross's API layer is the infrastructure you would otherwise have to build yourself.
Frequently Asked Questions
Q: What is Tross?
A: A healthcare AI infrastructure startup co-founded by Padam Kataria and Meet Shah — building the API and data layer that enables healthcare AI companies to connect to US EHRs (Epic, Cerner etc.), payer portals, and legacy healthcare systems. NOT a hospital construction or India healthcare management company.
Q: What does Tross's platform do?
A: Automates healthcare AI company integrations across: patient scheduling, referrals, claims processing, prior authorisations, clinical documentation, data extraction, and patient communication — by abstracting the complex EHR and payer portal integration work that otherwise consumes healthcare AI companies' engineering resources.
Q: Who invested and what is the capital for?
A: Pre-seed led by All In Capital, with DeVC participating. Capital goes toward product development, engineering team expansion, additional EHR and payer integrations, and deepening US healthcare market presence. Already enabling 200,000+ patient interactions in 2026.