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v0.4 — Now in private beta Retrieval-augmented intelligence

AI that reads the entire library so your students don't have to.

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.

12M+
Pages indexed
98.4%
Citation accuracy
<800ms
Median response
2
Verticals live
Medical RAGEngineering RAGCustom LLM fine-tuningAgentic workflowsVector searchEvaluation infraPrivate deployments Medical RAGEngineering RAGCustom LLM fine-tuningAgentic workflowsVector searchEvaluation infraPrivate deployments
Products

What we build.

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.

Product 01 — Live

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.

USMLE Step 1/2/3 Differential Dx Pharmacology Anatomy atlases + 18 more
Product 02 — Live

Engineering RAG

Purpose-built for engineering students — GATE, IIT/JEE, core CS, EE, Mech curricula. Worked solutions step-by-step, every formula traceable to source.

01query: "Prove Kirchhoff's voltage law"
02retrieve: 14 chunks, 3 textbooks
03rerank: semantic + cross-encoder
04ground: Sadiku §3.4, Hayt §2.2
05answer: KVL states that...
Product 03 — By engagement

Custom AI solutions

Your domain, your data, your constraints. We ship end-to-end: ingestion, embeddings, retrieval, evals, deployment.

ingest.pdf retriever reranker eval-loop deploy
Under the hood

Measured, not vibes.

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.

98.4%
Citation recall
0.12%
Hallucination rate
784ms
P50 latency
4.7/5
User rating · n=3.2k
Live demo

Ask it anything.

No signup. Switch between Medical and Engineering modes below — or type your own question. Answers are grounded and cited in real time.

developr.in / chat / medical
Live · grounded
How it works

From corpus to cited answer.

The same four-stage pipeline runs behind every product we ship — tuned per domain, measured continuously.

i.

Ingest

PDFs, scans, images, tables. OCR, layout recovery, semantic chunking tuned to each domain's structure.

ii.

Embed

Hybrid dense + sparse retrieval. Domain-adapted embedding models trained on curated Q&A pairs.

iii.

Ground

Cross-encoder rerank, then constrained generation. Every claim linked to a retrieved passage.

iv.

Evaluate

Continuous eval loops — faithfulness, context precision, answer relevance — gate every model push.

Founders

Two founders, one mission.

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.

SS

Subhani Shaik

Co-founder & CEO

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.

CraftAI architecture SystemsRAG & agents Lives inBangalore
HD

Hasmitha Dasari

Co-founder & CTO

Visionary builder and problem-solver. Hasmitha leads product strategy and company direction, turning complex AI challenges into elegant, working solutions that create real impact.

DirectionProduct & company FocusStrategy & vision Lives inBangalore
What they say

Students, not skeptics.

Early users from medical and engineering programs across India — feedback from our first 3,000 beta users.

Replaced three tabs of textbook PDFs and a confused study group. The citations mean I can actually check the answer — that's the whole thing.
AR
Aarav R.
MBBS 3rd year · AIIMS
For GATE prep this is unreasonable. It walks me through the derivation and points at the exact page in Sadiku. It's like having a TA on tap.
PK
Priya K.
B.Tech ECE · NIT Warangal
We asked Developer to build a private RAG over our legal case archive. Four weeks end-to-end, measurable recall, zero drama.
DM
Dr. Manish T.
Partner · custom engagement
Pricing

Priced for students.

Free tier forever. Pro subscription for power users. Institutional licenses for colleges and bespoke engagements for everything else.

Student

Get started, forever free.
₹0 / month
  • 50 grounded queries / day
  • Medical + Engineering RAG
  • Inline citations
  • Community support
Get started

Institution

Colleges, coaching centers, hospitals.
Custom
  • Private corpus ingestion
  • Single sign-on
  • Usage analytics
  • On-prem / private cloud
  • Dedicated success manager
Talk to us

Building something harder?

Tell us about your problem. If it looks like RAG, agents, or retrieval, we've probably shipped something like it. First call is free.