GitLab Transcend - Intelligent orchestration
Mini tools
AI for real scientific research (Vibe Research)
Updates on the science world
SCIENCE EXPLAINED
Sci .ai
Professor of Mathematics, Physics and Chemistry, Aerodynamics.
Scientific Generator Response
Science dictionary Robot
GABAL-X
my scientist friend
Life science mate
a science solver AI
Carbon Chatbot
Vicena
BioSkepsis
SciFig
mentalport
SupervisorMatch
FigCanvas
PaperPlot
Overview
Vicena is an AI research agent that assists with scientific workflows across literature search, experimental design, lab simulation, and computational chemistry.
It reasons through research questions, selects the appropriate tools from a catalog of 24, executes them, and iterates until it produces cited results.For research and discovery, Vicena searches PubMed, arXiv, Google Scholar, and Google Patents in parallel, refining queries adaptively until coverage is comprehensive.
Every output links back to original sources with DOIs, authors, and publication dates. It also extracts step-by-step experimental protocols from papers, cross-referencing variables across sources and assigning confidence scores based on agreement.For lab simulation and validation, Vicena audits synthesis protocols for safety, yield feasibility, and reagent compatibility before the bench.
It checks protocols against physical constraints including thermodynamics, kinetics, vapor pressure, and GHS hazards, using curated rules and open libraries like RDKit, PubChem, Thermo, and ChemPy.
Outputs cite their sources and explicitly report coverage gaps rather than implying safety where data is unavailable.For computational chemistry, Vicena provides a full toolkit for reaction prediction (including Suzuki, Buchwald, Heck couplings via the Molecular Transformer neural network), retrosynthesis, molecular descriptors with Lipinski analysis, structural similarity via Morgan fingerprints, spectroscopy prediction (IR, NMR, MS), and quantum chemistry calculations (DFT, Hartree-Fock, MP2) built on PySCF and ASE.Vicena also includes a persistent Science Computer with a JupyterLab environment and over 30 scientific Python packages pre-installed.
The AI writes and executes code in real notebooks, debugging and iterating as it works. Files persist across sessions.The platform is built on 26 open scientific libraries, databases, and models including RDKit, PubChem, PySCF, the Molecular Transformer, SMARTS, and the Arrhenius equation.
Every numerical result traces back to the specific library that produced it.
Supported features
Releases
Pricing
Top alternatives
-
Fastest Way To Read & Write - Your Research Focused AI WorkspaceHamed Mousavi🙏 9 karmaNov 10, 2023@OtioI would highly recommend for researches and students. useful to manage your articles and use AI to get the key points. -
Paperguide: The All-in-One AI Research Assistant for Scientific Research -
AI-powered lab assistant for chemists and microbiologists.Biolysis is completely useless, at this stage. It provides very limited information on compounds, whereas a similar Google or Wikipedia search can return much more relevant data. The 2D and 3D viewers are so basic that they can hardly add any informative detail. Similarly, the "Data Analysis" tool is of no practical use. Submitting an experiment description, it provides vague information on the resources needed, without even suggesting possible protocols or applications. It is hard to see what function Biolysis is supposed to fulfill and who would benefit from it. -
AI research assistant with cited answers from 40M+ papers -
Your AI research assistant for precise scientific answers. -
AI for every scientist. Breakthroughs for all.
