Tross Raises Pre-Seed Funding to Build the API Layer Healthcare AI Agents Run On

The plumbing behind healthcare's AI agents

Every healthcare AI startup building a voice agent, a scheduling bot or a claims-automation tool eventually runs into the same wall: America's electronic health record and insurance-payer systems are a maze of incompatible, decades-old interfaces that were never designed for software agents to talk to. Tross, a startup founded by Padam Kataria and Meet Shah, is betting there is a business in being the plumbing that lets AI agents navigate that maze — and it has raised a pre-seed round led by All In Capital, with participation from DeVC, to build it out.

What Tross actually does

Tross builds an infrastructure and API layer that connects healthcare AI companies to electronic health records (EHRs), payer portals, and other clinical and administrative systems that resist straightforward automation. In practice, that means handling the unglamorous but essential mechanics behind workflows like retrieving a claim's status, uploading clinical notes into a provider's records system, or scheduling an appointment inside software that was not built with API access in mind — tasks that, done manually, consume enormous amounts of staff time across the US healthcare system, and that AI agent startups building on top of Tross's layer no longer have to solve themselves.

All In Capital invested $400,000 through its "Golden Ticket" programme, a fast-track investment vehicle the fund uses for founders it wants to back before a full round comes together. The specific amount raised in the broader pre-seed round has not been disclosed. Kataria and Shah previously worked together at BharatX, an Indian fintech startup, before founding Tross — under the earlier name Ayden — to go after the healthcare integrations problem instead.

Betting on the US market from India

Tross's customers are healthcare AI companies serving the US market, and the startup says it is on track to enable more than 200,000 patient interactions this year across calls, referrals, scheduling and back-office workflows for the companies that build on its infrastructure. That customer base places Tross in a familiar pattern for Indian-founded infrastructure startups: engineering talent and company formation rooted in India's startup ecosystem, aimed squarely at solving a problem — the fragmented, interoperability-poor state of US healthcare IT — that is more acute in the United States than in India's own, more centralised digital health stack built around ABDM (the Ayushman Bharat Digital Mission).

The funds from this round will go toward accelerating product development, growing the engineering team, building out additional EHR and payer integrations, and deepening Tross's presence in the US healthcare market, according to the company.

Why integration is the bottleneck, not the model

The broader context here is a pattern showing up across healthcare AI: the hard part of deploying an AI agent in a hospital or clinic increasingly isn't the underlying language model, it's getting that model safely and reliably connected to the systems of record it needs to read from and write to. US EHR vendors operate largely closed ecosystems, payer portals vary wildly in how (or whether) they expose programmatic access, and compliance requirements around health data add friction that a general-purpose AI agent framework isn't built to handle out of the box.

That has created room for infrastructure-layer startups — Tross among them — to position themselves as the unglamorous but necessary middleware that makes the flashier AI-agent layer above them actually deployable at scale. It is a bet that is showing up elsewhere in Indian AI funding too: broader momentum around agentic AI in India has been building through 2026, with vertical AI applications in healthcare, financial services and defence among the sectors investors are watching most closely, even as most of that funding activity, Tross's round included, remains concentrated at the earliest stages rather than growth-stage checks.

Whether Tross becomes a durable infrastructure layer or gets absorbed by consolidation among the healthcare AI agent companies it serves is an open question typical of any pre-seed bet. For now, the round is a small but telling data point on where Indian-founded AI infrastructure companies are choosing to compete: not on the model layer crowded with well-funded foundation-model players, but on the unglamorous integration work that determines whether those models can actually be used in a hospital's daily workflow.

Sources

• Entrackr, "All In Capital leads pre-seed round in healthcare infrastructure startup Tross," August 2026. https://entrackr.com/snippets/all-in-capital-leads-pre-seed-round-in-healthcare-infrastructure-startup-tross-12398446
• Indian Startup News, "Healthcare AI infrastructure startup Tross raises pre-seed funding led by All In Capital," August 20, 2026. https://indianstartupnews.com/funding/healthcare-ai-infrastructure-startup-tross-raises-pre-seed-funding-led-by-all-in-capital-12405616
• Indian Retailer, "{Funding Alert} Healthcare Startup Tross Secures Funding to Strengthen EHR and Payer Integrations," August 2026. https://www.indianretailer.com/news/funding-alert-healthcare-startup-tross-secures-funding-strengthen-ehr-and-payer-integrations