One workspace for your literature, writing, data analysis, and supervisor — with every AI contribution tracked and declared, so your thesis stays provably yours.
3-day free trial · No credit card · From thesis chapters to journal papers
Using AI without risking your degree, keeping your supervisor genuinely in the loop, and getting the analysis right.
Every AI-assisted word is logged as you write and compiled into a UGC-ready AI Use Declaration that matches your thesis exactly. Nothing to hide, nothing to fear in the viva.
Share live progress and AI-use numbers instead of one WhatsApp message before each review. Your drafts stay private until you choose to share them.
Descriptives, ANOVA, regression, factor analysis, PLS-SEM, MCDM, meta-analysis and more — run on your own dataset, each result interpreted in plain language.
One workspace carries the whole journey, so nothing gets copy-pasted between ten different tools.
One query runs across five academic indexes and comes back ranked by fit to your topic — summarized, and ready to save.
Trust and digital payment adoption: evidence from rural Karnataka
Sharma & Rao · 2024 · Telematics & Informatics · DOI verified
UPI at the last mile: a mixed-methods study
Iyer, Das & Kulkarni · 2023 · World Development · DOI verified
Mobile money and financial inclusion: a meta-analysis
Okafor & Banerjee · 2025 · J. of Development Economics · DOI verified
Autocomplete continues your sentence and cites from your own library as it types. Every AI suggestion is logged, so your declaration always matches your draft.
Recent studies of digital payment adoption in rural India point to trust, rather than access, as the binding constraint (Sharma & Rao, 2024).
Building on this, the present review synthesises 42 studies published between 2015 and 2025AI · Logged
No other research workspace goes this deep on analysis. Upload your dataset and run everything your methodology chapter promises, without buying separate statistics software.
UGC expects documented, regular supervision — not one WhatsApp message before each progress report. Research Sathi gives supervisors a live view of their cohort, while scholars keep control of what is shared.
Universities are now accountable for how their scholars use AI. Research Sathi logs every AI contribution, never ghost-writes, and produces the declaration your university can file — protecting you and your institution.
There are hundreds of AI tools. Here is why scholars use Research Sathi instead of a generic chatbot.
No add-ons, no per-tool pricing. Everything a scholar needs shares one project and one plan.
From loose idea to full proposal draft.
Idea → Gap → ProposalSearch, summarize, and organize sources.
5 indexes · 900M recordsProtocol-first reviews, export ready.
Identified 412 → Included 42Every source saved, deduplicated, and cited.
APA · MLA · Chi · Harv · VancChapter-by-chapter drafting with citations.
Ch. 1–7 · Cites your libraryDescriptives to regression, in the browser.
70+ methods · CSV XLSX SAVSentence-level matches before submission.
Run before every submissionOne-click, word-level, UGC-ready.
Word-level · Signed exportQuestions generated from your own thesis.
Q&A from your own chaptersThesis formats and journal guidelines.
Thesis & journal formatsMatch your manuscript to the right journal.
Scope · Impact · IndexingProgress, reviews, and comments in one place.
Consent-first · Live viewNo. Sathi is built so you stay the author: it finds and ranks literature, runs analysis, and drafts with you from your own outline and sources. Every AI contribution is logged word by word, and you can export a signed AI Use Declaration that matches your draft exactly. Hiding AI use is what gets theses rejected; declaring it is what the meter is for.
Numbers by default, content by consent. Your supervisor sees the same AI-use figures you see, plus progress signals. They can only read your draft when you explicitly share it for review, and your conversations with Sathi are never visible to anyone but you.
The meter reports your AI-assisted share against the bands in the 2026 UGC guidelines for AI in research, alongside the 2022 PhD regulations that govern supervision and progress reports. It is a disclosure tool, not a detector score, and it works wherever your university is.
One search runs across Semantic Scholar, OpenAlex, CrossRef, CORE, and arXiv — roughly 900 million records. Results are ranked by fit to your topic, summarized, and saved into a project library that the Writing Studio cites from directly.
Start free, import the chapters you already have, and bring your supervisor in whenever you are ready.
3 days free · No credit card · Cancel anytime