See how healthcare AI agents analyze EMR data to surface actionable insights, support clinical decisions, and improve operational performance.

We're excited to announce the open-source release of two critical resources for Indian healthcare digitisation: Parrotlet-e, a state-of-the-art Indic medical embedding model, and Eka-IndicMTEB, a sizable Indic medical terms embedding benchmark dataset. Try out the model on HuggingFace.

AI evaluation datasets tailored for Indian healthcare: medical ASR, records parsing, structured clinical note generation, and medical summarisation.

Eka Care is excited to announce the launch of Eka MCP Server, our open-source MCP server designed to enhance the accuracy and reliability of AI assistance in healthcare settings.With the Eka MCP Server, we’re not just reducing hallucinations—we’re redefining how AI safely interacts with clinical decision-making. This positions Eka Care as the AI assistant doctors can trust in Indian healthcare.