One subscription
Use GPT, Claude, Gemini, Mino, Qwen, Kimi, DeepSeek, and more for science, coding, literature, analysis, and writing.
The AI for real science.
Turn a research question into literature, protocol, and computation steps in one workspace.
- Turn a research question into literature, protocol, and computation steps in one workspace.
- Build protocol drafts from papers, then audit assumptions, hazards, gaps, and yield limits.
- Call chemistry tools for molecular weights, GHS hazards, spectra, reaction checks, and quantum calculations.
- Run Python, Jupyter, RDKit, PySCF, and data analysis without leaving the research thread.
- Save protocols, audits, plots, PDFs, and notes into workspace files that survive the conversation.
- Keep evidence, assumptions, and tool outputs visible so results can be reviewed later.
Literature Search
Protocol Builder
Chemistry Tools
Protocol Audit
Compute Shell
Workspace Files
Quantum Simulation
Used by researchers at leading universities, labs, and technical teams.
MITStanfordHarvardOxfordCambridgeCaltechETH ZurichTsinghuaGoogleNASACERNMax Planck1000+ institutes
All Major AI models in one scientific subscription.
Use GPT, Claude, Gemini, Mino, Qwen, Kimi, DeepSeek, and more across research, coding, writing, and analysis. If you already have ChatGPT, OpenAI, or Codex access, bring your own account and keep the same Vicena workspace.
Bring your account
Already have ChatGPT, OpenAI, or Codex access? Connect it when your team wants to use its own account.
Agent cores
Use OpenAI-designed Codex-style agent workflows for coding, analysis, tool use, and repeatable scientific work inside Vicena.
Keep models, tools, notebooks, files, and research context in one place.
Scientists do not work in one isolated prompt. Vicena connects literature, patents, protocols, chemistry tools, Jupyter notebooks, compute, and durable workspace files so the thread stays inspectable from question to artifact.
v3.4 adds Deep Work for longer scientific agent runs.
Version 3.4 introduces Deep Work: a planning-first agent mode for longer scientific runs. It can coordinate literature, chemistry, notebooks, computer modeling, and workspace files while keeping the work inspectable from question to artifact.
Use Planning Mode to review or revise the plan before execution, then steer long runs without restarting when the objective changes.
Read full updateBuilt for the work between technical questions and decisions.
Use Vicena to keep the question, evidence, assumptions, files, computations, and reports connected as the work moves from concept to experiment.
Evidence intake
Turn early research questions into cited briefs, paper summaries, patent scans, and open-question lists.
Protocol workflows
Draft methods, extract variables, audit hazards, check assumptions, and produce review-ready protocols.
Notebook execution
Keep calculations, plots, data cleaning, and simulations in notebooks that can be inspected later.
Decision artifacts
Generate technical memos, reports, tables, figures, notebooks, and workspace files for the next step.
Build repeatable scientific workflows.
Search evidence, design experiments, check chemistry, run models, and keep every artifact connected in one workspace.
01 / Orchestrate
AI Research Agent
Follow workflows you define, coordinate literature, chemistry, modeling, notebooks, and files while you focus on the objective.
02 / Research
Literature Review
Search papers, patents, Scholar, and the web while keeping sources, assumptions, and gaps visible.
03 / Design
Experiment Design
Build and audit protocols with evidence, materials, controls, safety checks, and feasibility gaps.
04 / Check
Chemical Intelligence
Resolve compounds, calculate properties, check hazards, compare molecules, and review reaction ideas.
05 / Model
Computer Modeling
Run models, analyze data, execute commands, and create reusable notebooks with plots and outputs.
06 / Preserve
Persistent Workspace
Create projects, save files, and track progress across sessions so you can come back and continue.
Ask for a paper search, protocol, notebook, simulation, or report.
The best first step is a concrete scientific question. Vicena can turn that into evidence, files, calculations, and a next action plan.
Frequently asked questions
Quick answers about using Vicena for experiment design, materials research, instruments, packages, notebooks, and persistent scientific work.
Can I use Vicena to design experiments? +
Yes. Vicena can help turn a research objective into an experiment plan, compare possible methods, draft protocols, identify assumptions, and audit gaps before you move to the bench or simulation.
Can Vicena help me find materials or instruments for my work? +
Yes. You can ask Vicena to search literature, supplier information, patents, and technical context to identify candidate materials, instruments, reagents, methods, or measurement approaches for your project.
Which scientific packages can I use? +
You can ask Vicena to install and use open-source scientific packages, as long as they fit within the storage, compute, and sandbox limits of the workspace. We are working on lifting and improving those limits.
Can Vicena run notebooks, calculations, and simulations? +
Yes. Vicena can use Python, Jupyter notebooks, command-line tools, and installed packages to run calculations, inspect files, generate plots, and support modeling workflows.
How can Vicena help me choose materials and instruments? +
Vicena can look at how similar work was done in the literature, identify the exact materials and instruments people used, and help find options for your own experiment. Include this directly in your experiment design request.
What happens if Vicena does not support my work yet? +
Tell us what is missing. We are constantly looking for scientific workflows, tools, and domains that Vicena should support better.