Small Language Models are AI-driven systems trained on focused datasets relevant to specific domains—in this case, healthcare. They are designed to work efficiently on limited infrastructure—common in Tier-2 and Tier-3 city hospitals or rural clinics—without the heavy computational cost that large language models (LLMs) demand. This efficiency allows SLMs to deliver rapid, context-aware insights in multiple Indian languages while respecting stringent data privacy norms.

Empowering physicians with best-in-class AI radiology solutions to save time, reduce burnout, and improve patient care.

AI contextual search is not poised to replace the astute and compassionate Indian clinician, but rather to empower them. Tools like Achala Health's clinical research platform exemplify how AI can act as an intelligent assistant, cutting through the noise of vast information to deliver precise, relevant insights at the point of need.

An AI-enabled solution that streamlines hospital discharge by auto-generating accurate, FHIR-compliant summaries from EMR/HIS data. It analyzes daily clinical inputs, drafts structured discharge summaries, and enables faster claims via NHCX—boosting efficiency and patient satisfaction.

The need for an AI-driven solution that automates the creation of discharge summaries—while maintaining accuracy, compliance with medical standards, and data privacy, is critical to improving the quality and efficiency of patient care

Achala Health is addressing the diagnostic gap with an AI-powered Radiology Solution that ensures timely, precise reporting while reducing clinician fatigue, especially in emergency and rural settings.

How voice AI is revolutionizing radiology with automated speech recognition, improving reporting accuracy, workflow efficiency, and care