What is MuchSci?
MuchSci is an AI workspace for researchers. It brings together literature search, research office tools, researcher profiles, and research agents to help move work forward faster.
Browse questions about product features, literature, research work, agents, pricing, and security.
MuchSci is an AI workspace for researchers. It brings together literature search, research office tools, researcher profiles, and research agents to help move work forward faster.
You can import PDF, DOCX, PPTX, XLSX, TXT, MD, and other file formats.
Knowledge bases are personal by default and cannot be shared. Administrators can configure shared knowledge bases for team collaboration.
The file library stores documents, images, text, and other files generated by agents. You can preview and manage files, but cannot edit them there. My Shares connects to report sharing.
The personal database accepts heterogeneous data from multiple sources and more file formats than the knowledge base, including reports generated by AI meeting notes.
Yes. MuchSci supports basic researcher lookup and profile analysis, and can combine multiple data sources with a language model to create a dynamic assessment. Try it to see the available features.
Describe your research question in the MuchSci chat. It breaks down the search, supports exact or fuzzy searches by title, author, or DOI, and filters by year or citation count.
Enter the title or author. MuchSci returns matching papers and DOIs, then fills in authors, journal, year, volume, issue, and pages from sources such as Crossref.
Yes. It identifies each paper's question, methods, main findings, and limitations, and lets you export citations and key information.
Paste your outline into MuchSci and specify the slide count, style, and priorities. It creates a structured draft you can preview, revise, and export as an editable file.
Yes. Translation supports 13 common languages, including Simplified and Traditional Chinese, and accepts DOCX, PDF, TXT, and MD. Downloads are currently TXT only.
AI meeting notes support meetings, lectures, and classes with live recording and translation, AI summaries, transcript editing, and report generation.
The office assistant agent can create an editable presentation from an outline. Preview and revise it, then export the PPTX file.
Use MuchSci's proposal template. Enter your topic, research question, and initial ideas to create a draft covering background, prior work, methods, and technical approach.
They understand complex research requests, break them into steps, use literature databases, computing tools, and file generation, and preserve their work and results.
It combines RDKit, Datamol, PyTDC, MedChem, TorchDrug, and other tools. The agent chooses tools for molecular operations, descriptor calculations, and graph neural network predictions.
It combines NeuroKit2, DepMap, PyHealth, and other tools for medical science to support physiological signals, precision cohort analysis, and medical deep learning.
It combines more than 20 tools, including pathway-enrichment, scanpy, flowio, tiledbvcf, bulk-rnaseq, etetoolkit, deeptools, arboreto, anndata, phylogenetics, pysam, biopython, bioservices, scikit-bio, geniml, zarr-python, gget, polars-bio, pydeseq2, gtars, scvi-tools, and scvelo, across the full spectrum of omics analysis.
Yes. You can see its progress and interrupt it at any time. Decision cards may ask for your confirmation before the AI continues.
Click Try web app or Try it now, then sign in with a phone verification code. New accounts receive 3960 points.
Free: ¥0/month with 3960 trial points; Lite: ¥9.9/month and 1,980 points; Plus: ¥19.8/month and 3,960 points; Pro: ¥29.8/month and 5,960 points. Plans are monthly and your data remains after expiry.
Free offers standard responses. Lite adds priority responses and basic research support. Plus adds more capacity for frequent tasks and revisions. Pro offers higher priority for intensive agent work and repeated refinement.
MuchSci uses encrypted transmission and access controls. See the Privacy Policy for details.
No. Uploaded papers, data, and recordings are not used for model training. See the Terms of Service and Privacy Policy for details.