Medical RAG
An AI companion for medical students. Ask anything across 4M+ pages of textbooks, Harrison's, Robbins, clinical guidelines, NEJM abstracts — answers arrive with paragraph-level citations and the exact page numbers.
Developer builds production-grade retrieval-augmented AI for high-stakes domains — starting with medicine and engineering. Grounded answers, citations on every claim, zero hallucinated references.
Two domain-tuned RAG products live today, plus a custom-AI practice that ships solutions for teams with a problem and a deadline. Everything grounded, everything cited.
An AI companion for medical students. Ask anything across 4M+ pages of textbooks, Harrison's, Robbins, clinical guidelines, NEJM abstracts — answers arrive with paragraph-level citations and the exact page numbers.
Purpose-built for engineering students — GATE, IIT/JEE, core CS, EE, Mech curricula. Worked solutions step-by-step, every formula traceable to source.
Your domain, your data, your constraints. We ship end-to-end: ingestion, embeddings, retrieval, evals, deployment.
Every product ships with a public evaluation harness. We believe a RAG system that can't be measured shouldn't be trusted — so we publish benchmarks, failure cases, and recall metrics.
No signup. Switch between Medical and Engineering modes below — or type your own question. Answers are grounded and cited in real time.
The same four-stage pipeline runs behind every product we ship — tuned per domain, measured continuously.
PDFs, scans, images, tables. OCR, layout recovery, semantic chunking tuned to each domain's structure.
Hybrid dense + sparse retrieval. Domain-adapted embedding models trained on curated Q&A pairs.
Cross-encoder rerank, then constrained generation. Every claim linked to a retrieved passage.
Continuous eval loops — faithfulness, context precision, answer relevance — gate every model push.
We started Developer after watching friends in med school and engineering drown in PDFs that no search engine could actually read. So we built one.
Engineer at heart and AI architect by craft. Subhani drives the technical foundation of Developr's products — from RAG pipelines to multi-agent systems — with precision and depth.
Visionary builder and problem-solver. Hasmitha leads product strategy and company direction, turning complex AI challenges into elegant, working solutions that create real impact.
Early users from medical and engineering programs across India — feedback from our first 3,000 beta users.
Free tier forever. Pro subscription for power users. Institutional licenses for colleges and bespoke engagements for everything else.
Tell us about your problem. If it looks like RAG, agents, or retrieval, we've probably shipped something like it. First call is free.