Give Scientify a research goal and let it run to delivery
The agent creates a dedicated workspace, searches and downloads sources, reads full text, writes and runs analysis code, and continues from the results. It confirms search scope, outlines, and key claims with you, then delivers editable PPTX, PDF, LaTeX, charts, and code.
The agent searches sources and preserves verification evidence
Semantic Scholar
Interdisciplinary papers and citation networks across a vast academic corpus.
OpenAlex
Interdisciplinary papers with author, institution, and other metadata.
arXiv
Recent preprints in computer science, mathematics, physics, and more.
Google Scholar
Broad interdisciplinary coverage in English, Chinese, and other languages.
CrossRef verification
An authoritative DOI source for checking authors, years, and identifiers.
Six professional capabilities for autonomous research execution
Create a dedicated research workspace
Keep goals, materials, plans, the runtime environment, and deliverable files in one task.
Search deeply and download sources
Expand queries, follow citation links, collect accessible full text, and retain source locations.
Understand papers and research files
Read papers, web pages, tables, data, and notes to extract methods, results, limits, and evidence.
Write code and actually run it
Execute cleaning, statistics, scientific computing, and visualization while checking errors and intermediate results.
Confirm key research decisions with you
Submit the search scope, analysis plan, document outline, and intermediate results before continuing.
Edit and deliver professional files
Produce editable PPTX, PDF, LaTeX, tables, charts, and code with a review trail.
Keep expanding and verifying sources around the research goal
The agent decomposes the research question into queries, searches arXiv, Google Scholar, Semantic Scholar, and OpenAlex, and continues when the first evidence set is insufficient.
- Decompose and expand search queries from the goal
- Preserve authors, abstracts, DOIs, and source locations
- Continue searching when evidence gaps remain
Run real analysis in a cloud computer
The agent reads data and files, writes code, and actually runs the analysis. Inputs, parameters, intermediate outputs, and errors remain with the task so the agent can revise its method and continue.
- Execute data processing, scientific computing, and visualization
- Preserve inputs, parameters, code, and runtime results
- Adjust the next step from errors and intermediate outputs
Research keeps running in the cloud after your computer is offline
Long tasks run inside an isolated cloud computer. The agent connects search, reading, computation, and writing without requiring you to stay in the browser and trigger every next step.
- Handle literature, data, and code continuously under one goal
- Keep running after your local computer is offline
- Return to complete progress and intermediate results
Receive inspectable, reproducible results that remain editable
A task delivers more than a chat response. Scientify keeps sources, files, code, parameters, figures, and research documents together so you can verify the method and continue the next research cycle.
- Connect conclusions to precise source locations
- Inspect code, parameters, tables, and figures
- Download, reproduce, and continue editing deliverables
Complete PPTX, PDF, and LaTeX in the same task
The agent edits real files against a target template and delivery requirements. For a presentation, it reads papers and data, reruns code or redraws charts when needed, and confirms a slide-by-slide outline with you. For a technical document, it can organize equations, references, and LaTeX source.
- Edit a fully editable PPTX, including text, charts, equations, and sources
- Create or revise PDF, Word, and LaTeX research documents
- Keep human confirmation points for outlines, analysis definitions, and final files
From a research goal to reproducible delivery
Describe the goal · Provide materials
State the research question, constraints, and expected deliverables, and attach files when needed.
Agent plans · Cloud executes
The agent searches, reads, codes, runs analyses, and chooses the next step from the results.
Inspect the process · Reproduce results
Verify sources, code, parameters, and documents, then continue from the existing assets.
Frequently asked questions
How is Scientify different from a standard AI chat?
A standard chat usually returns one answer. Scientify's agent executes consecutive research steps inside an isolated cloud computer, reads files, runs code, inspects intermediate results, and delivers the process assets with the result.
Do I need to keep the browser open while a task runs?
No. Tasks run in the cloud and can continue after your local computer is offline. Return later to inspect progress, intermediate outputs, and final deliverables.
How can I inspect the agent's research results?
The workspace preserves source locations, input files, code, parameters, tables, figures, and documents. You can review both evidence and methods. The agent can still make mistakes, so researchers must verify important conclusions.
Which research tasks fit an autonomous agent?
It is designed for tasks that span literature, files, data, code, and documents, including evidence reviews, data analysis, model comparisons, scientific computing, and research reports.
Turn specific search needs into complete research tasks
Give the complete research goal to a cloud agent
Let Scientify keep searching, read files, run code, and deliver reproducible research assets.