Why Selective Context Beats Full-History RAG in Production Conversations
Most conversational AI systems dump entire conversation history into the model context. We built Sentia to prove there's a better way — and the results speak for themselves.
Our team's perspectives on conversational AI, Indian language technology, financial inclusion, and the techniques driving the next wave of intelligent systems.
Most conversational AI systems dump entire conversation history into the model context. We built Sentia to prove there's a better way — and the results speak for themselves.
Why we chose SLMs over large foundation models, and the domain-specific fine-tuning pipeline that achieves superior accuracy at a fraction of the cost.
From marketplace noise to code-switched dialects — the engineering challenges and breakthroughs in building speech recognition that works where it matters most.