CIAMETECHLoading
The CIAMETECH Innovation Lab is our applied research function, focused on making AI work in the real conditions of India: low bandwidth, code-switching languages, low-literacy interfaces, and communities underserved by mainstream AI development.
We work in public. These are the research projects active in the lab right now, with honest status, not vapourware.
A Telugu-first voice + WhatsApp agent giving smallholder farmers crop-disease diagnosis from a photo, sowing-window guidance, and mandi price signals. Running a field pilot with farmer groups in coastal Andhra.
An open evaluation suite measuring LLM accuracy, bias, and code-switching robustness in Telugu and Hindi, because models tuned on English silently fail in Indian languages. Building the test sets the ecosystem lacks.
A diagnostic-support tool for rural primary-health centres that runs on low-end Android devices and degrades gracefully on 2G, syncing when connectivity returns. Designed with human-in-the-loop accountability.
A municipal decision-support layer that classifies and routes citizen grievances in local languages, predicts resolution times, and surfaces systemic hot-spots for civic administrators.
Building models and datasets for Telugu, including code-switching with English and Hindi, phonetic input handling, and low-literacy voice interfaces.
Designing AI applications that work reliably on 2G/3G connections and low-end Android devices, essential for rural and semi-urban India.
Evaluation frameworks for bias in Telugu and Hindi models. Human-in-the-loop architectures that keep humans accountable for AI decisions.
Research into multi-agent orchestration patterns for enterprise workflows, RAG pipelines, MCP architectures, and autonomous reasoning chains.
We partner with universities, researchers, and civil-society organisations on applied AI research. Current openings include AI Research Intern, Telugu NLP (6 months, stipend). Open to final-year students from JNTU, Andhra University, and other AP institutions.
View open roles →