Tross has raised an undisclosed amount of capital in a pre-seed funding round. All In Capital led the investment initiative. DeVC was an active participant in the funding. The capital raised in this transaction will be dedicated to multiple critical operational objectives, according to an official press release issued by Tross.

The strategic targets involve the faster development of existing products, product development by the company’s primary engineering staff, creation of new Electronic Health Record (EHR) and payer integrations, and substantial further penetration into the United States’ healthcare market.

Operational performance and core mission

Co-founded by Padam Kataria and Meet Shah, the company’s primary business model involves developing the infrastructure layer of artificial intelligence in the healthcare industry. The company’s primary business involves helping AI firms seamlessly integrate with application programming interfaces (APIs) and integrated technical solutions with Electronic Health Records (EHRs), payer portals, and other complex healthcare ecosystems.

Tross provides AI companies with a dedicated platform that automates essential operations and workflows for the healthcare industry. Infrastructure manages specific workflows such as appointment scheduling, patient referral management, insurance claim processing, clinical document updates, and structured data extraction.

Regarding its operational performance and reach, Tross states that it’s currently actively working with healthcare AI companies that are already targeting the United States market. The startup anticipates engaging over 200,000 patients this year. These engagements occur at different touchpoints of the healthcare delivery process, including clinical calls, patient referrals, scheduling appointments, and other basic back-office processes of enterprises.

Tross’ technological platform creates a direct link between AI applications, EHR systems, and insurance payer portals. The underlying architecture allows for the real-time processing of critical operational tasks, including fetching live claim status, uploading patient clinical notes, and scheduling medical appointments directly within the provider system. 

Tross enables AHPs to operate smoothly in complex healthcare software ecosystems, removing the inherent friction and complexity of legacy systems. Tross expects to increase the number of healthcare systems that can be served through its platform, and then the number of operational workflows for which artificial intelligence suppliers can use its technological fabric to automate.

Emerging ecosystem and sector landscape

Healthcare workflow automation featuring AI is emerging as a significant growth sector in the Indian startup landscape. Within this vertical, enterprises are using AI, sophisticated voice technologies, automation and data intelligence tools to enhance intricate administrative and business operations in hospitals, clinics, diagnostic networks and insurance-related healthcare service networks.

The market has moved in a few significant ways that show the energy being generated in this niche. In February 2026, Care.fi, an infrastructure platform for health care revenue cycle management based out of Gurugram, secured an $8 million Series A investment to enhance its AI capabilities. In June 2026, a health tech startup called MediKno secured pre-seed funds from build3.

In July 2026, CARPL.ai, the enterprise software platform, raised a $10 million Series A funding round to expand its enterprise technology solution designed to help healthcare providers deploy and scale AI applications within large organization networks.

A key theme of the developing ecosystem is the move to modernize the administrative frameworks within global healthcare delivery networks. Companies such as Tross seek to become integration devil’s canary, an enviable matchmaker between emerging artificial intelligence tools and outdated technology stacks.

This streamlines application integration and automates workflows throughout claims, referrals, and providers, allowing the company to fulfill rapidly rising operational requirements in the healthcare software landscape.

Conclusion

The successful close of this pre-seed round, led by All In Capital and DeVC, represents a significant milestone in Tross’s early fundraising journey. The company, co-founded by Padam Kataria and Meet Shah, is targeting technical fragmentation issues in legacy software systems across the healthcare ecosystem. Tross also offers native integration capabilities with EHRs and payer platforms, enabling AI vendors to expand automated operational workflows throughout the USA healthcare market.

Infrastructure vendors continue to prioritize scaling connectivity across health systems, insurance models, and back-office tasks as they prepare for automation use cases to expand in these areas.