Your AI co-scientist — it reads the literature so you can make the leap
Scientific literature now doubles roughly every two months — no human can keep up. Nadhi is a research agent that closes that gap with you: run deep research and it downloads hundreds of full papers from PubMed, arXiv, bioRxiv, Nature and Cell into your project, synthesises across your whole corpus and adjacent fields, surfaces connections you didn't query, and drafts candidate hypotheses and literature reviews — every line traceable to a source it actually downloaded. It runs on your machine, next to your data. It does not replace your judgement; it gives you back the months you'd spend reading, so you stay the scientist who decides.
Recognized & Backed By
Developed a custom fine-tuned vision-language model for ECG image interpretation by fine-tuning on over 1 million ECG images on the AIRAWAT supercomputer.
Custom fine-tuned Llama 3.2 11B vision-language model for expert-level ECG image interpretation and diagnostics. Read the paper →
Selected for the AI Innovation Accelerator under the YuvAI Initiative implemented by 1M1B, Meta, IndiaAI, and AICTE.
Supported by the NVIDIA Inception Program and Microsoft for Startups Founders Hub.
100s
Full papers downloaded & synthesised per deep-research run
Every claim
Traceable to a source Nadhi actually downloaded
Your corpus
Indexed & cross-referenced against the new literature
The AI co-scientist
Reads thousands of papers. Surfaces the connection.
Knowledge in your field outpaces any reading list. Nadhi runs the literature firehose for you — pulling hundreds of full papers from the major databases, synthesising them against your own data, and drafting grounded hypotheses and reviews so you can spend your time on the science, not the search.
Scientific literature
0
papers read & synthesised
cross-referencing fields…
Grounded synthesis
Cross-field connection
Candidate hypothesis
12 citationsevery line traceable to a downloaded source — you decide
Literature synthesis at scale
One deep-research run searches PubMed, arXiv, bioRxiv, Nature, Cell and the open web, ranks the candidates, downloads the actual full papers into your project folder, and writes a structured review — every claim cited to a source you now hold on disk.
Cross-document & cross-field connection
Nadhi indexes your entire corpus — the papers it downloaded, your prior work, your datasets — and reasons across all of it at once. Ask a question and it links findings between papers and adjacent fields you didn’t think to query.
Grounded hypotheses & reviews
From the synthesised literature it drafts candidate hypotheses, research directions and review sections — each line traceable to a downloaded source. It proposes; you interrogate, validate, and decide. A collaborator, not an oracle.
Honest by design. Nadhi is a single grounded research agent that runs on your machine and your files — not a black-box hypothesis oracle. Every output traces back to papers it actually downloaded. You stay the scientist who judges and decides.
A co-scientist for every kind of knowledge work
One agent. Three kinds of users.
Researchers, professors, and teachers all live in a project folder of their own — papers, lecture decks, lesson plans, student work, datasets, drafts. Nadhi works alongside you on that folder — reading the literature, synthesising, and drafting — not in a chat tab.
Researchers
From literature scan to ablation study.
- Deep-research a topic and download the actual papers into your project folder
- Read every PDF in a folder; build comparison tables across labs
- Cross-reference your own RNA-seq, screen, or trial spreadsheet against the literature
- Edit a manuscript across multiple chapters and the .bib at once
- Aggregate result CSVs into ablation studies with charts
Professors
Lectures, papers, grants — same folder, same agent.
- Generate lecture slides and notes from your reading list
- Pull together a literature review across 20 PDFs you already collected
- Draft grant sections grounded in your own prior papers and data
- Build problem sets, model answers, and rubrics in one prompt
- Edit course materials across DOCX / PPTX / TEX files in place
Teachers
Plan a unit, grade the work, talk to parents.
- Turn a textbook chapter into lesson plans, quizzes, and homework
- Generate differentiated worksheets from a single source PDF
- Read a folder of student submissions and produce a grading rubric report
- Draft parent emails and progress summaries from your gradebook XLSX
- Build presentations, handouts, and study guides without copy-pasting
Why a browser chatbot isn't enough
ChatGPT can read your prompt. It can't read your project folder.
Real work lives on your disk — papers and lesson plans in ~/Desktop/Nadhi/, spreadsheets of run results or grades, half-finished manuscripts and lecture decks spread across multiple files. A browser chatbot is locked out of every one of them. Here's what stops a normal LLM from being useful for serious work, and how Nadhi closes the gap.
No filesystem access
ChatGPT, Claude, Gemini — none of them can open a folder. You upload files one at a time, the answer lives in a chat tab, and nothing ever lands back on your disk where the rest of your papers, slides, or lesson plans actually are.
Single-shot deep research
Generic deep-research modes give you a summary and dead links. They don't download the actual papers, can't name them by author + year, and can't put them in the project folder where you'd use them next week in a lecture or a draft.
No multi-file editing
A manuscript is six chapters across six .docx files plus a .bib. A course is a syllabus, a slide deck, a lecture-notes doc, a problem set, and a rubric. Browser chats can write one paragraph — they can't edit the right files in place.
Nadhi closes the gap.
Frontier cloud reasoning, plus a desktop agent that lives next to your files. One chat can run deep research on a topic, download papers into a folder, read every file in there, edit a manuscript or a lecture deck across multiple chapters, build problem sets and rubrics from a textbook PDF, or draft parent emails from a gradebook — without you ever touching a file picker.
A day in the life · researcher example
Dr. Priya is editing KRAS G12C. Nadhi keeps up.
Below is one user's flow — a postdoc working on CRISPR-Cas9 ablation of KRAS G12C in non-small cell lung cancer. The same six steps map onto a professor pulling together a literature review for next week's lecture, or a teacher turning a textbook chapter into lesson plans, quizzes, and parent updates. The work surface is the folder; the interface is one chat thread.
- Deep research on real papers, with sourcesPubMed + bioRxiv + Nature + Cell — Nadhi ranks the literature, streams a structured review, and gives you live source cards so you can verify every claim.
- Downloads PDFs into your project folder"Save the top 8 papers into ~/Desktop/Nadhi/kras-g12c/papers/, rename by author + year." They land on disk, ready for Mendeley, Zotero, or just your eyes.
- Reads every file in a folder at onceChatGPT can't reach your filesystem. Nadhi opens 8 PDFs, parses methods sections, and builds a comparison table normalising metrics across labs.
- Joins your own data to the literatureDrop a 24k-row RNA-seq spreadsheet and Nadhi correlates your A549 baseline against the papers it just read — Pearson correlation in seconds.
- Multi-file manuscript editingUpdate chapter1.docx, append a new entry to references.bib, keep your voice. One prompt, two files edited in place. No copy-paste-into-Word loop.
- Ablation studies on your local CSVsAggregate the last 5 gRNA design runs, render a chart, and write a recommendation back into the project. One PDF deliverable, one prompt.
Built for serious knowledge work, powered by frontier AI
Frontier cloud reasoning, paired with a desktop agent that lives next to your project folder. Deep research, paper downloads, multi-file editing, lecture and lesson generation, data analysis — the things researchers, professors, and teachers actually do every day.
Reads your work folder
Point Nadhi at ~/Desktop/Nadhi/ and it can open every PDF, spreadsheet, CSV, DOCX, PPTX, and TEX in there in a single prompt — something a browser chatbot simply cannot do.
Deep research with downloads
Run /deep on a topic and Nadhi queries the web — PubMed, arXiv, Nature, the open web — then downloads the actual sources into your folder, renamed for you.
Multi-file editing
Edit a manuscript chapter, append to references.bib, refresh a slide deck, update a syllabus — all in one prompt, with your voice and formatting preserved.
Lectures, lessons & quizzes
Turn a textbook PDF or a folder of papers into lecture slides, lesson plans, problem sets, quizzes, and answer keys — saved straight into your course folder.
Analysis across many files
Aggregate result CSVs into ablation studies, gradebooks into progress reports, surveys into summaries — render charts, write recommendations, file the deliverable.
Semantic project memory
Nadhi indexes everything in your project folder. Ask "what were the off-target rates from run 14?" or "which students missed the polynomial unit?" and get a grounded answer.
A day with Nadhi · cancer research
Dr. Priya is editing KRAS G12C. Watch the agent keep up.
She's a postdoc working on CRISPR-Cas9 ablation of KRAS G12C in non-small cell lung cancer. In one chat thread Nadhi runs deep research on the latest 2026 base-editor work, downloads the actual PDFs into her project folder, reads every file in that folder, cross-references her own RNA-seq spreadsheet, edits her in-progress manuscript across multiple .docx files, and runs an ablation study across her gRNA result CSVs — all without her ever leaving the composer.
Deep research on the actual literature
Nadhi queries PubMed, bioRxiv, Nature, and Cell, ranks dozens of candidate papers, and streams a structured review with proper source citations — far past what ChatGPT will do for a single prompt.
Downloads papers into your project folder
Tell Nadhi to fetch the top 8 PDFs into ~/Desktop/Nadhi/kras-g12c/papers/ and rename by author + year. They land on your disk, ready to read or hand to Mendeley.
Reads many local files at once
ChatGPT cannot reach your filesystem. Nadhi opens every PDF in a folder, parses methods sections, and builds a comparison table normalising metrics across labs.
Cross-references your own data
Drop in your RNA-seq spreadsheet and Nadhi correlates your A549 run against the literature it just read — 24k transcripts, sub-second join.
Edits your manuscript across files
Open the manuscript folder, update chapter1.docx, append a new BibTeX entry to references.bib, and keep your active-voice phrasing intact. No copy-paste-into-Word loop.
Ablation studies from local CSVs
Aggregate the last 5 gRNA design runs, normalise metrics, render a chart, and write a recommendation back into the project — one prompt, one PDF deliverable.
Cloud-grade thinking, right next to your files
Nadhi runs a frontier cloud model for the heavy lifting — deep research, reasoning, paper synthesis — while a desktop agent works alongside it on your local project folder. The best LLM in the loop, plus the one thing every browser chatbot is missing: real access to your disk.
Frontier cloud model
Reads your folders
Downloads papers
Edits files in place
Everything researchers, professors & teachers need, in one chat thread
From the first literature scan to the final manuscript revision, from a textbook chapter to a full unit of lessons — Nadhi works on the files, folders, and runs that already live on your machine. No upload-redownload dance.
Project-folder awareness
Point Nadhi at any directory — research, course, lesson plans — and it can list, open, and read every PDF, DOCX, PPTX, XLSX, CSV, BIB, TEX, and TXT in the tree.
Deep research that lands on disk
Run /deep on a topic and Nadhi searches PubMed, arXiv, Nature, Cell, the open web — then downloads the actual sources into your folder, renamed by author + year.
Multi-PDF synthesis
Ask Nadhi to read every paper in a folder and produce a comparison table or a literature-review draft — perfect for grants, lectures, and review articles.
Manuscript & deck editing across files
Edit chapter1.docx, append to references.bib, refresh slides.pptx, update syllabus.tex — multiple files in one prompt, your voice and structure preserved.
Lecture notes, quizzes & worksheets
Turn a textbook chapter, a paper, or a topic into slides, lesson plans, problem sets, quizzes, and answer keys — written straight into your course folder.
Analysis across many files
Aggregate result CSVs into ablation studies, gradebooks into progress reports, survey responses into summaries — charts and recommendations included.
Cross-reference your own data
Drop a spreadsheet next to a paper or a textbook PDF and Nadhi correlates them — gene-set overlap, score distributions, topic alignment, anomaly flags.
Semantic project memory
Nadhi indexes everything in your folder. Ask "what were the off-target rates from run 14?" or "which students missed last term's polynomial unit?" and get a grounded answer.
Native artefacts in one prompt
Generate PDF reports, DOCX manuscripts, PPTX slides, XLSX trackers, BibTeX lists, parent emails, rubrics — saved straight into the project, no copy-paste loop.
How Nadhi reaches into your work
Project folder bridge
Point Nadhi at any directory on your PC and it can read, edit, and write files there — PDFs, DOCX, XLSX, CSV, BIB, TXT.
Web fetch & download
Run deep research on a topic and Nadhi pulls the actual open-access PDFs straight into your project folder, renamed for you.
Email & messaging gateways
Forward a paper PDF over email or Telegram and Nadhi files it into the right project, summarises it, and pings you back.
Built with care
Every license includes personal onboarding support — setup guidance, integration help, and direct access to the developer.
Nandakishor M
Founder & CEO
- •AI/ML Researcher with healthcare applications focus
- •Former Principal Investigator, IIT Palakkad Technology iHub Foundation
Dr. Anjali M, MBBS, MD
Co-Founder & Chief Research Officer
- •MD in Community and Family Medicine from AIIMS Rishikesh
- •Medical logic design & clinical validation of Ai4Cardio multimodal AI
Research-backed scientific AI
We aren't just building apps. We are actively researching and publishing in the field of trustworthy AI, with a focus on Hallucination Detection, Clinical Research, and Scientific Discovery to help humanity.
Our Researches & Publications
Our core project Ai4Cardio focuses on multimodal generative AI for automated ECG interpretation and treatment planning. We collaborate closely with clinical institutions to ensure reliability. Our findings are published in top-tier medical and technical journals, including BMJ.
- ✓World's first projection-based hallucination detection model (HalluNox)
- ✓74% detection rate for pre-generation hallucinations
- ✓Clinically validated AI models translated to actionable medical logic
Open Source Scientific Models
We believe in open science. We regularly publish our fine-tuned reasoning and vision models freely to the AI community on HuggingFace to accelerate scientific discovery for humanity.
ECG-Instruct-Llama-3.2-11B-Vision
Vision-LanguageFine-tuned Llama 3.2 11B multimodal model specialized for detailed ECG interpretation and clinical reasoning.
medgemma-4b-ecginstruct
LanguageCompact, highly efficient Gemma-based text model optimized for structured cardiovascular diagnostic outputs.
Meet AI4Cardio
An offline desktop app for multimodal ECG and blood-report interpretation with explainability — built on a fine-tuned vision-language model so a primary-care worker in a rural clinic can get a specialist-grade cardiac diagnosis when no cardiologist is on site.
Explore AI4CardioSimple, transparent pricing
Pay monthly, or save 17% with yearly billing. Same features — every byte stays on your machine.
Monthly
...
per month, per machine
or $21 USD/month
Cancel anytime. 7-day money-back guarantee.
Yearly
...
per year, per machine
or $210 USD/year
Hardware-encrypted license. Works offline after activation.
All plans include UPI AutoPay / Card autopay. Taxes where applicable.
Department, school, or lab with 5+ users?
Institutional pricing for research labs, university departments, and schools — centralised billing and hands-on onboarding support.
Frequently Asked Questions
Stop fighting your tools. Start moving the work.
Whether you're a researcher editing a paper, a professor preparing next week's lectures, or a teacher building a unit — the work already lives in a folder on your machine. Bring that folder. Nadhi takes it from there.
Hardware-bound license. Cancel anytime. 7-day money-back guarantee.