EkaCare engineering blogs, music information retrieval papers, and alternate data articles.
Open-weight releases from the Parrotlet family, making purpose-built medical document intelligence models freely available.
Benchmark update accompanying the release of Parrotlet-a 2.5 Pro, our latest medical speech recognition model.
Introducing MedAI MCP tools that ground frontier LLMs in Indian drug databases, treatment protocols, and medical calculators — with open evaluation datasets in KARMA.
Introducing BODHI — an open clinical knowledge graph for grounding healthcare AI in verified, India-specific clinical data.
Releasing the gold standard for medical speech recognition in Indian healthcare.
Bridging India's multilingual healthcare gap with multilingual embeddings and benchmarks.
An open-source framework for evaluating medical AI systems.
New evaluation metrics for speech recognition in healthcare contexts.
Purpose-built vision LLM for parsing and extracting data from medical documents.
Purpose-built LLM for English ASR in Indian healthcare settings.
EkaCare releases four evaluation datasets for medical AI systems.
Comparative analysis of specialized small models versus general-purpose AI for healthcare tasks.
Challenges and learnings from extracting structured data from medical lab reports.
Ontology applications in medical contexts for knowledge representation.
EkaCare's annual data-driven health report for India.
Time series analysis of NYC 311 noise complaint data to measure urban activity recovery post-COVID.
NLP pipeline to classify and extract signal from Glassdoor employee reviews — identifying sentiment, topics, and leading indicators of company health.
Graph ML approach to mapping competitive dynamics among private companies using web and textual signals.
Real-time tracking and forecasting of US electricity demand as an alternate economic indicator.
Doctoral thesis on melody-centric computational models for Indian classical music — tonic identification, raga recognition, melodic similarity, and pattern discovery.
Master's thesis on automated tonic identification for Indian classical music using signal processing and machine learning.