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Executive Summary: Which are the Top Healthcare RPA Companies?
- AgentAI (USA): Builds an AI platform for automating revenue cycle management to reduce errors and optimize cash flow.
- ConnectivityWise (USA): Develops an auto-upload tool connecting point-of-care testing (POCT) devices to electronic health records (EHRs) for faster diagnostics and fewer errors.
- Ease My Med (India): Offers a medical workflow automation platform integrating with HMIS and ERP to reduce delays and costs.
- iEHR.ai (Ireland): Provides an FHIR-native AI EHR platform for real-time data sharing and clinical decision support.
- anamedi (Switzerland): Builds an AI ecosystem with speech-to-text EHR integration for automated billing and clinical documentation.
- Sinewave AI (USA): Makes a medical back office automation platform for streamlining billing, coding, and insurance processes.
- Facere AI (Australia): Develops an AI workflow tool that automates admin tasks in allied health, GP, and mental health clinics.
- Pyrexia (UK): Offers a cloud-based AI compliance platform for streamlining hiring, onboarding, and HR audits in the healthcare industry.
- Synthax (Singapore): Provides an AI assistant that captures clinical conversations to automate documentation and task extraction.
- Twin (France): Builds AI agents to automate admin and clinical workflows through contextual reasoning and natural language processing (NLP).
Global Startup Heat Map highlights Emerging Healthcare RPA Companies & Startups to Watch
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends, plus 150M+ patents, news articles & market reports, we identified 10 healthcare RPA companies using RPA.
The Global Startup Heat Map below highlights emerging healthcare RPA companies you should watch in 2026, as well as the geo-distribution of 150+ companies & scaleups we analyzed for this research.
According to our data, we observe high startup activity in the USA and India, followed by the UK. The top 5 Startup Hubs for Healthcare RPA are New York City, San Francisco, London, Austin, and Seattle.
Meet Emerging Healthcare RPA Companies to Watch in 2026
We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging healthcare RPA companies work on solutions ranging from AI agents to clinical workflow automation.
1. AgentAI
- Founding Year: 2023
- Location: Los Angeles, California, USA
- Use For: AI-powered Revenue Cycle Management (RCM)
AgentAI‘s AI-powered revenue cycle management automation platform improves administrative and financial procedures for healthcare providers and medical billing firms.
The platform leverages machine learning algorithms to automatically execute operations like claim filing, eligibility verification, payment posting, and rejection management. This reduces manual labor and error rates.
Credit: AgentAI
Moreover, the platform enables healthcare firms to detect revenue leakage, expedite cash flows, and ensure regulatory compliance. It does so by integrating real-time data analytics and predictive insights.
Additionally, the platform adjusts to changing payer regulations with ongoing AI learning for increasing accuracy and improving resilience against complex invoicing.
2. ConnectivityWise
- Founding Year: 2024
- Location: Spokane, Washington, USA
- Use For: Flexible Automated Result Upload
ConnectivityWise offers a flexible automatic result upload solution. It allows data from POCT devices to be converted into electronic medical records (EMR) or electronic health records.
The solution links a variety of suitable POCT equipment with healthcare systems through secure interfaces that record, standardize, and upload patient results in real time. This reduces transcribing errors, saves staff time, and increases patient flow through faster result availability without manual data entry.
Additionally, it supports integration across various clinical contexts and offers proper documentation for correct invoicing and adherence to healthcare standards.
3. Ease My Med
- Founding Year: 2024
- Location: New Delhi, India
- Use For: Medical Workflow Automation
Ease My Med‘s medical workflow automation platform enables healthcare institutions to streamline data collection, consolidation, and analysis.
The platform uses an integrated suite of application programming interfaces (APIs) to provide a direct connection with hospital management information systems (HMIS). This enables the collection of medical data that is often left outside standard information systems, especially in emergencies and medical camps.
Credit: Ease My Med
Moreover, the platform decreases manual workload and patient wait times by automating procedures like test ordering, billing, and patient intake using its billing API. It further streamlines corporate reconciliations with its enterprise resource planning (ERP) API.
It also makes data more visible for medical professionals to spot inefficiencies and improve patient adherence.
4. iEHR.ai
- Founding Year: 2023
- Location: Dublin, Ireland
- Use For: Interoperable EHR Platform
iEHR.ai provides an AI-powered, FHIR-native interoperable EHR platform. It combines patient data across healthcare systems and uses AI to organize and evaluate clinical data to facilitate data transmission between hospitals, clinics, and ancillary providers.
The platform combines data from multiple electronic medical records to remove data silos and ensure a single, complete patient view for authorized stakeholders.
Credit: iEHR.ai
Additionally, the platform streamlines clinical decision-making and reduces administrative load by automating standard operations. This includes referrals, prior authorizations, and care coordination.
5. anamedi
- Founding Year: 2025
- Location: Basel, Switzerland
- Use For: Open Healthcare Ecosystem
anamedi offers an AI-powered open healthcare ecosystem that simplifies clinical recording, billing, and data management by integrating EHRs. It eliminates manual note-taking and reduces administrative workload. The AI-powered system also quickly captures and structures patient contacts with real-time speech-to-text transcription and natural language processing (NLP).
Moreover, it automates billing procedures and produces accurate invoices from recorded care activities to ensure timely, error-free reimbursement. It is based on open EHR standards that allow for uniform data sharing and interoperability across different medical systems.
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6. Sinewave AI
- Founding Year: 2024
- Location: San Francisco, California, USA
- Use For: AI Medical Back Office
Sinewave AI provides a medical back office platform that automates vital administrative tasks. This includes insurance pre-authorization, medical billing, and coding for healthcare organisations.
It uses machine learning and natural language processing algorithms to extract, validate, and categorize data from insurance papers and patient information.
Credit: Sinewave AI
The platform minimizes claim denials, speeds up approval cycles, and reduces manual workloads. It also integrates with healthcare information systems to enable real-time validation and error detection.
7. Facere AI
- Founding Year: 2023
- Location: Sydney, Australia
- Use For: Healthcare Workflow Automation
Facere AI offers an AI-driven workflow automation platform. It simplifies clinical and administrative procedures in mental health services, general practitioner offices, and radiology centers.
The automation platform automates repetitive operations to reduce human errors and free up staff time for direct patient care. These operations include data entry, appointment scheduling, patient intake, and document management.
It facilitates adherence to healthcare regulations and offers smooth data synchronization by interfacing with current health information systems. The platform also offers customizable workflows that meet the requirements of each practice. This allows for quick implementation and maximum effectiveness in a range of medical settings.
8. Pyrexia
- Founding Year: 2023
- Location: London, UK
- Use For: Cloud-based Healthcare Compliance Platform
Pyrexia develops an AI and cloud-based healthcare compliance platform that streamlines human resource (HR) procedures like hiring, onboarding, and regulatory compliance.
It utilizes ML algorithms to screen and match candidates, validate credentials, and expedite hiring operations. This allows proper placement of skilled workers while upholding compliance with healthcare standards.
Moreover, the platform automates training assignments, policy acknowledgment, and document collection through integrated onboarding modules to expedite employee orientation. It creates detailed audit trails for reviews and inspections, updates records in real time, and continuously monitors compliance requirements.
9. Synthax
- Founding Year: 2025
- Location: Singapore
- Use For: Clinical Workflow Automation
Synthax builds an AI-driven clinical workflow automation platform. It records clinical conversations, automatically creates structured documentation, and extracts actionable tasks in real time using language models and context-aware algorithms.
The platform readily integrates into clinicians’ workflows by linking directly with current electronic health record systems, without the need for modifications or additional software. Its AI agents identify follow-up actions, order sets, and care plans from patient encounters. This reduces manual data input time and minimizes the chance of tasks being missed.
It further offers customizable templates and adaptive learning to accommodate the needs and preferences of every clinician.
10. Twin
- Founding Year: 2023
- Location: Paris, France
- Use For: Healthcare AI Agents
Twin provides healthcare AI agents that mimic human decision-making and task performance in administrative and clinical workflows. It creates autonomous systems that handle patient contacts and interpret medical data using natural language comprehension and contextual reasoning. These AI agents automate time-consuming processes like insurance verification, medication refills, and appointment scheduling.
Moreover, the AI agents accurately interpret medical language and patient context for smooth integration into existing hospital and clinic systems. The company leverages models trained on diverse datasets. Additionally, the AI agents maintain accuracy and consistency in interactions across interfaces, like patient portals and EHR platforms.
Discover All Emerging Healthcare Startups
The healthcare startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Healthcare Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!
