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SciSpace

What is SciSpace?

SciSpace is an AI research workspace for research teams that combines citation-backed search, paper reading, and writing tools. It includes Deep Research, Systematic Research, Biomedical Agent, Chat with PDF, Literature Review, AI Writer, Citation Generator, and Enterprise Grade Protection, and it is used by Pfizer, Microsoft, Coca-Cola, Stanford, Novo Nordisk, and Reckitt. Plans run Premium $20/month, Advanced $90/month, Max $200/month, and SciSpace Enterprise custom.

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At a glance

Best for
SciSpace is best for research teams who need citation-backed literature review and paper analysis workflows.
Pricing
Premium $20; Advanced $90; Max $200; SciSpace Enterprise Custom

What does SciSpace do?

SciSpace handles research workflows by combining AI agents with citation-backed search, paper reading, and writing tools. It can run Deep Research and Systematic Research, then move the work into Chat with PDF, Literature Review, AI Writer, and Extract Data so teams can move from discovery to synthesis without switching tools. The experience is built around research tasks like finding topics, paraphrasing text, generating citations, and turning papers into usable outputs. At scale, SciSpace says it serves 9.6 Million+ Researchers and searches 20+ sources of databases across a 300M+ library of research papers. Its enterprise workflow is designed to accelerate literature review cycles by 10x, and the platform is used by organizations including Pfizer, Microsoft, Coca-Cola, Stanford, Novo Nordisk, and Reckitt. The enterprise stack also includes secure document handling, with SOC 2 Type 2 certification and isolated, encrypted storage for uploaded files.

Why use SciSpace?

  • SciSpace combines search, reading, extraction, and writing in one research workspace, reducing tool switching during a project.
  • Its citation-backed results help teams ground summaries and drafts in source material instead of generic model output.
  • The enterprise workflow spans 20+ databases and a 300M+ paper library, which supports broader literature coverage in one place.
  • Security features like SOC 2 Type 2 certification, isolated encrypted storage, and enterprise access controls fit sensitive research environments.
  • The platform extends beyond reading into reports, presentations, and grant applications, so teams can reuse research outputs downstream.

Who is SciSpace for?

  • R&D teams who need faster literature reviews and report drafting.
  • Researchers who want citation-backed answers while reading papers.
  • Academic writers who need help turning papers into summaries and drafts.
  • Enterprise teams who need secure research workflows with governance controls.
  • Analysts who need to extract structured data from PDFs at scale.

What are SciSpace's key features?

Deep Research

Search across 20+ sources of databases and 300M+ research papers to produce citation-backed results faster, helping teams validate claims with evidence.

Systematic Research

Run structured research workflows that organize findings from citation-backed results, reducing manual sorting when building repeatable reviews and reports.

Biomedical Agent

Use a biomedical-focused agent for research tasks that need field-specific reading and synthesis, useful for teams working with scientific literature at scale.

Chat with PDF

Ask questions against uploaded PDFs and get answers grounded in the document, which speeds up review of papers, reports, and supporting files.

Literature Review

Generate literature reviews from 300M+ papers with citation-backed results, helping researchers move from search to draft without starting from scratch.

AI Writer

Draft research content from source material and citations, supporting faster writing for papers, summaries, and other academic outputs.

Citation Generator

Create citations from research sources and PDFs, reducing formatting errors and saving time when preparing references for publication or review.

Enterprise Grade Protection

Protect research data with enterprise-grade controls, including SSO/SCIM and consolidated billing for managed access across teams.

What does SciSpace integrate with?

  • Zotero
  • Mendeley
  • OneDrive
  • GitHub

What are SciSpace's use cases?

Researchers reading with citations

Researchers who want citation-backed answers while reading papers use SciSpace to ask questions directly in context, using Chat with PDF to verify claims without leaving the document. They can then use Citation Generator to capture sources for notes, drafts, or follow-up reading.

Literature reviews for R&D teams

R&D teams who need faster literature reviews and report drafting use SciSpace to move from scattered papers to a structured synthesis, using Literature Review and Automated Literature Reviews to surface themes and evidence faster. They can finish by using Turn Literature Reviews into Reports to turn findings into a shareable output.

Academic drafting from papers

Academic writers who need help turning papers into summaries and drafts use SciSpace to reshape source material into usable prose, using AI Writer and Paraphraser to produce cleaner sections without starting from scratch. Citation Booster helps keep references attached as the draft comes together.

Secure research for enterprises

Enterprise teams who need secure research workflows with governance controls use SciSpace to centralize sensitive work, using Enterprise Grade Protection and SSO & SAML to keep access controlled. They can also standardize research handoffs with shared workflows instead of ad hoc document sharing.

How does SciSpace work?

  1. Open your paper or PDF in Chat with PDF, then ask a question in plain language to surface citation-backed answers directly from the document.
  2. Run Literature Review or Deep Research to gather relevant sources, compare findings, and build a clearer evidence base for your topic.
  3. Use AI Writer, Paraphraser, or Citation Generator to turn notes into polished text, cleaner wording, and properly formatted references.
  4. Extract Data from PDFs or switch on Systematic Research to pull structured details from large sets of papers and keep results organized.
  5. Move finished work into Turn Literature Reviews into Reports or Visually Stunning Presentations, then reuse the workflow with AI Agent Workflows for ongoing research.

How much does SciSpace cost?

Premium

$20
  • Agent Usage
  • 1,200 monthly credits
  • Unlimited Literature Review search
  • Pro Model Access
  • Unlimited Exports in all tools
  • Biomedical Agent Access
  • Other unlimited capabilities

Advanced

$90
  • Expert workflows & deeper insights
  • Agent Usage
  • 10,000 monthly credits
  • Everything in
  • Expert Model Access

Max

$200
  • Extended usage & top performance
  • Choose your monthly Agent Usage
  • 40,000 credits / month
  • Everything in
  • Priority Support

SciSpace Enterprise

Custom
  • All features plus admin-managed access, shared credit pools, SSO/SCIM, consolidated billing, dedicated support and customizable integrations & limits. Read More

Frequently asked questions

What is SciSpace?

SciSpace is an AI research workspace for research teams that combines citation-backed search, paper reading, and writing tools. It includes Deep Research, Systematic Research, Chat with PDF, Literature Review, AI Writer, and Citation Generator, and it is used by Pfizer, Microsoft, Coca-Cola, Stanford, Novo Nordisk, and Reckitt. Plans run Premium $20/month, Advanced $90/month, Max $200/month, and SciSpace Enterprise custom.

How much does SciSpace cost? Is it free?

SciSpace has 4 paid plans: Premium at $20, Advanced at $90, Max at $200.

What is SciSpace used for? Who is it for?

SciSpace is used for Deep Research, Systematic Research, and Biomedical Agent. It's built for R&D teams, Researchers, and Academic writers.

Does SciSpace have an API and what does it integrate with?

SciSpace doesn't publish a public API. It integrates with Zotero, Mendeley, OneDrive, GitHub.

Editor's read

Check the monthly credit limits before committing: Premium includes 1,200 credits, Advanced 10,000, and Max 40,000. If your workflow depends on heavy Deep Research or repeated document extraction, the jump in usage can change the real monthly cost quickly.

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