Hyderabad-based health technology startup SuperClaims is using artificial intelligence to automate health insurance claims adjudication, aiming to reduce processing time, lower operational costs and improve decision-making for insurers and third-party administrators (TPAs). The company is positioning its AI platform as a solution to one of the insurance industry's most manual and document-intensive processes as demand grows for faster, technology-led claims management.
Founded in 2024, SuperClaims has developed an AI-powered adjudication engine that automates the end-to-end review of health insurance claims. The platform is designed to process both inpatient (IPD) and outpatient (OPD) claims by converting unstructured medical records, bills and supporting documents into structured, decision-ready outputs, reducing the need for manual verification.
According to the company, the platform leverages a multi-agent AI architecture, with specialised AI agents performing different tasks throughout the claims lifecycle. These agents review documents, validate policy compliance, identify inconsistencies and generate transparent audit trails before producing adjudication recommendations. The system is intended to improve consistency while allowing insurers and TPAs to process higher claim volumes with fewer manual interventions.
SuperClaims claims its technology can reduce claim processing time from more than 300 minutes to around 10 minutes while achieving decision precision exceeding 97 percent. The company also says the platform can lower operational costs by nearly 70 percent and currently supports the processing of more than 100,000 claims each month for enterprise customers.
The startup said automation is particularly valuable in India's health insurance ecosystem, where claim reviews often require extensive documentation checks, medical validation and policy interpretation. By digitising these workflows, insurers can accelerate approvals, improve customer experience and strengthen compliance through more transparent decision records.
SuperClaims' expansion comes amid broader adoption of artificial intelligence across India's insurance sector. Insurers are increasingly deploying AI for fraud detection, underwriting, customer service, predictive analytics and claims management as they seek to improve efficiency while managing rising claim volumes. Claims adjudication has emerged as one of the key areas where automation can reduce turnaround times without compromising auditability.
The company's technology has also attracted strategic interest within the digital health ecosystem. Earlier this month, Hyderabad-based digital health platform ekincare announced the acquisition of SuperClaims for an undisclosed amount. The acquisition is expected to strengthen ekincare's capabilities by combining its preventive healthcare and employee health benefits platform with SuperClaims' AI-powered insurance claims adjudication technology. SuperClaims will continue operating under its existing brand while gaining access to ekincare's wider enterprise customer base and healthcare network.
Industry participants expect AI adoption in health insurance to accelerate as insurers balance rising healthcare costs with increasing customer expectations for quicker claim settlements. Technologies such as intelligent document processing, machine learning and agentic AI are being integrated into insurance operations to reduce administrative workloads, improve decision accuracy and enable scalable claims processing.
As India's digital health ecosystem continues to mature, startups such as SuperClaims are focusing on AI-driven automation to modernise insurance infrastructure. With health insurers and TPAs under pressure to process claims more efficiently while maintaining compliance, AI-powered adjudication platforms are emerging as a growing segment within the country's health technology landscape.