Zeya Health Raises $575K to Tackle Healthcare’s Admin Crunch with AI

As clinics across Asia-Pacific struggle with rising patient loads and limited staff, the Singapore startup is betting that AI-native operations—not new EMRs—are the missing layer.

Singapore-based Zeya Health has raised US$575,000 in pre-seed funding to scale its AI-driven administrative infrastructure for healthcare providers across the Asia-Pacific region. The round was led by Antler, with participation from a group of strategic angel investors.

The funding arrives at a time when outpatient clinics across the region are facing a structural squeeze: patient volumes continue to rise, but administrative headcount, budgets, and operational capacity are not keeping pace. Zeya Health plans to use the capital to accelerate product development, expand its team, and roll out deployments across Singapore and other APAC markets.

Administrative Strain Builds Across APAC Healthcare Providers

Healthcare providers in Asia-Pacific are under pressure from multiple directions. Clinics are dealing with:

• Higher patient throughput
• Staff shortages and burnout
• Increasing regulatory and reporting requirements
• Rising expectations around patient communication and experience

While clinical tools have evolved, administrative systems often remain fragmented and manual. Zeya Health is targeting this gap, positioning itself not as a new electronic medical record (EMR) system, but as an AI-native operational layer that sits on top of what clinics already use.

Product Focus: Automating Administration Without Replacing Core Systems

Zeya Health describes its platform as an AI-powered front desk. Instead of asking clinics to migrate to new software, the product integrates directly with existing clinic management systems, EMRs, and messaging tools such as WhatsApp.

The system handles common administrative work such as reminders, follow-ups, rescheduling, and ongoing patient communications. Zeya Health says clinics typically begin using the platform within two days, as it fits into existing workflows without forcing staff to adopt new interfaces or undergo lengthy training.

This integration-first approach reflects a broader shift in healthcare technology, where providers increasingly prefer tools that reduce friction rather than add another system for staff to manage.

Founders’ Background Shapes Product Direction

Zeya Health was founded by Agastya Samat and Pasindu Wijesena, who bring prior experience deploying large-scale digital health and AI systems in Europe and the Middle East.

Samat said the idea for Zeya emerged from repeatedly seeing the same bottleneck across healthcare settings.

“Whether it was deploying digital health systems at scale or watching clinics struggle with growing patient loads, the same issue kept coming up: operational friction limits how much care can actually be delivered,” he said. “We started Zeya to remove that bottleneck, so providers can grow without burning out their teams.”

Early Adoption and Integration With Singapore’s Clinic Software Stack

Since launch, Zeya Health has reported rapid uptake among clinics. The company says it has recorded more than 20x growth in clinic adoption since August, with sustained month-on-month expansion.

In Singapore, regulatory compliance is a critical adoption factor. Zeya has integrated with widely used clinic software platforms including Plato, SGiMED, ClinicAssist, and GPConnect. These integrations help clinics meet requirements linked to Healthier SG participation and National Electronic Health Record onboarding, reducing compliance-related overhead for providers.

Larger Healthcare Groups Begin Evaluating the Platform

Early deployments have begun to attract attention from larger healthcare operators. AcuMed, a multi-clinic healthcare group, is currently assessing Zeya’s platform and preparing for a potential pilot across multiple locations.

If rolled out, such group-level deployments would mark an important step for the startup, shifting from individual clinic efficiency gains to standardized operations across larger healthcare networks—where administrative complexity is often amplified.

Investor Perspective: Execution Speed and Demand Signals

Antler said it backed Zeya Health early due to the founders’ execution speed and evidence of demand from cautious healthcare providers.

“They are addressing a deeply entrenched problem in healthcare: operational and administrative overhead, while earning trust from providers who are careful about adopting new systems,” said Winnie Khoo, Partner at Antler. “Their early traction reflects both the urgency of the problem and the team’s ability to turn insight into real-world adoption.”

With the new funding, Zeya plans to hire engineers and clinical deployment specialists and expand further across Asia-Pacific, focusing on outpatient care models such as primary care, physiotherapy, paediatrics, and surgical and aesthetic clinics

Looking Ahead

As healthcare systems across Asia-Pacific confront staff shortages and rising demand, administrative efficiency is becoming a competitive differentiator rather than a back-office concern. Zeya Health is betting that AI-native operations—quietly embedded into existing systems—can help clinics scale care without scaling burnout.

Whether it can translate early traction into durable, region-wide adoption will be a key test. But the company’s focus on integration, speed of deployment, and regulatory fit suggests it is aligning closely with how healthcare providers actually buy and adopt technology today.

Quick Takeaways

• Zeya Health raises US$575K pre-seed, led by Antler, to scale AI-driven healthcare operations across Singapore and Asia-Pacific.
• The startup targets administrative bottlenecks in outpatient clinics, as patient volumes rise without equivalent growth in staffing.
• Its AI platform integrates with existing clinic management systems and EMRs, avoiding disruptive software replacements.
• Early traction includes rapid clinic onboarding and interest from larger healthcare groups exploring multi-clinic deployments.
• The deal reflects growing investor focus on AI-native healthcare infrastructure rather than consumer-facing health apps in APAC.