- Free sign-up. Limits are not shown on the pricing page.
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Research tools
SciSpace
by SciSpace (Typeset) · IN
AI research assistant for paper search, literature reviews, chat with PDF and data extraction.
On this page
34/100Competitive
- Regulatory & Compliance0/11
No FDA clearance listed
- Clinical Integration0/7.8
No EHR integrations listed
- Evidence Strength14.7/27
4 peer-reviewed papers
- Vendor & Market6/18
Early-stage company
- Sentiment & Transparency6.5/15.5
Prices listed publicly
▸ Show all 11 dimensions▾ Hide dimension detail
- FDA clearance0/6
No FDA clearance listed
- HIPAA / SOC2 / BAA0/5
No public HIPAA/SOC2/BAA attestation
- EHR integrations (count)0/4
No EHR integrations listed
- Top-3 EHR coverage (Epic / Oracle / Athena)0/2
None of the top-3 EHRs covered
- Bidirectional write-back0/1
No bidirectional write-back documented
- Peer-reviewed papers15/21
4 peer-reviewed papers
- RCT / meta-analysis / systematic review0/6
No RCT, meta-analysis, or systematic review
- Funding & adoption signal6/12
Early-stage company
- Years in market0/6
Founded year not recorded
- Clinician sentiment (Reddit)0/9
No clinician sentiment data available
- Pricing transparency7/7
Prices listed publicly
AI research assistant for paper search, literature reviews, chat with PDF and data extraction.
Free sign-up. Limits are not shown on the pricing page.
Bottom line
SciSpace, formerly Typeset, has grown from a paper-summarizing reader into an AI research assistant for searching papers, drafting literature reviews and extracting data. It suits a trainee or researcher who wants one subscription for reading, searching and drafting. No independent evaluation of its output quality is available, so anything it produces needs checking against the paper.
What is SciSpace?
The homepage opens with "How can I help with your research?" and offers search, literature review, drafting, diagrams and presentation tools. The navigation adds an agent gallery, chat with PDF, a paraphraser, a citation generator, data extraction, an AI detector and an AI humanizer. The vendor claims more than 9.6 million researchers use it.
The company sells under the SciSpace name after rebranding from Typeset in 2022, and one source gives the legal entity as PubGenius Inc. Saikiran Chandha is CEO and Shanu Kumar a co-founder. Founding year is 2015 or 2016 depending on the source. Headquarters are listed as Bengaluru, Milpitas or San Francisco depending on the source, and funding figures conflict, with a Fast Company profile citing $4.5 million and a last round in October 2021.
What does it do?
The Premium plan lists search over Google Scholar, PubMed and arXiv, Deep Research, Systematic Research for literature reviews, standard reports, a biomedical agent, chat with PDF, and AI detection and humanization. Advanced adds verified reports and parallel agents. Max adds more parallel chats and priority support. API and enterprise options appear in the navigation. HIPAA, SOC 2 and HITRUST status are not stated.
What does SciSpace cost?
As of October 2026 the pricing page lists Premium at $12 per month billed annually, struck down from $20, with 1,200 monthly credits. Advanced is $70 per month billed annually, down from $90, with unlimited monthly usage. Max is $160 per month billed annually, down from $200. The page promises cancellation anytime and a 100 percent money-back guarantee for 24 hours. A free sign-up exists but its limits are not shown, and Enterprise and team plans are quote only. The struck-through prices sit under a flash-sale banner (code SCI30) that ends October 14, 2026.
What does the evidence say?
No independent evaluation of SciSpace's accuracy exists in the literature reviewed. Two papers used it as a search aid, a 2024 Journal of Personalized Medicine review of miR-150 as a multiple sclerosis biomarker and a 2025 Cureus review of machine learning for precision anesthesia, and neither judges its quality. Web reviews that rank it are mostly listicles.
Who is it for?
- A medical student writing a first literature review who wants one tool for finding, reading and outlining.
- A researcher extracting study characteristics into a table for a systematic review, who must still verify every cell.
- Not a clinician who needs a referenced answer at the point of care.
The verdict
SciSpace is a sensible Premium-tier experiment for a student or researcher who drafts a lot, at $12 a month billed annually. Check a sample of its citations against the source papers before relying on any draft it produces.
Editorial review last generated October 15, 2026. Synthesized from clinician sentiment, peer-reviewed coverage, and our editorial silo picks. Refined by hand where vendor facts change.
What it costs
All tiers are custom-quoted. The vendor does not publish per-provider list pricing.
| Tier | Monthly | Annual | Notes |
|---|---|---|---|
| Free | — | — | Free sign-up. Limits are not shown on the pricing page. |
| Premium | — | USD 144 | 1,200 monthly credits. Shown with $20 struck through. All plans have a 24-hour money-back guarantee. |
| Advanced | — | USD 840 | Unlimited monthly usage. Shown with $90 struck through. |
| Max | — | USD 1920 | More parallel chats and priority support. Shown with $200 struck through. |
| Enterprise | — | — | Contact for pricing. |
Source: vendor pricing page. Last checked October 15, 2026.
What the literature says
4 peer-reviewed studies indexed on PubMed evaluate SciSpace in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.
- Performance of AI Tools in Citing Retracted Literature : Content Analysis.
- Labenbacher S, Niederer M, Hammer S, et al.· J Med Internet Res· 2026
- Generative artificial intelligence (GenAI) tools are increasingly used in scientific research to support literature searches, evidence synthesis, and manuscript preparation. While these systems promise substantial efficiency gains, concerns have emerged regarding their reliability, particularly their tendency to cite inaccurate, fabricated, or retracted literature. The unrecognized inclusion of retracted studies poses a serious risk to research integrity and evidence-based decision-making. Whether commonly used GenAI tools can reliably detect, exclude, or transparently communicate the retract…
- Reliability and Accuracy of Generative Artificial Intelligence Tools in Providing General Information on Migraine Surgery.
- Raposio E, Baldelli I· Plast Reconstr Surg Glob Open· 2025
- Numerous publicly available generative artificial intelligence tools have been introduced, aimed at research use or for the general public. The aim of this study was to investigate what information could be obtained by querying 9 of these publicly available software tools regarding the possible outcomes and complications of migraine surgery. We consulted 9 of the most well-known and widely used generative artificial intelligence tools: ChatGPT, Gemini, Perplexity, Elicit, SciSpace, Consensus, PaperPal, Julius, and Mistral AI. Each tool was asked the same question: "Detail the outcomes and com…
- A Systematic Literature Review of Precision Anesthesia Through Machine Learning: Automated Drug Titration and Real-Time Physiologic Optimization.
- Zarei R, Torgerson L· Cureus· 2025
- The integration of machine learning (ML) and artificial intelligence (AI) technologies into anesthesia practice represents a paradigm shift toward precision medicine by enabling automated, data-driven decision-making during surgery. This systematic review aimed to evaluate current applications of ML for automated drug titration and real-time physiologic optimization in anesthesia. A comprehensive literature search, adhering to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, was performed across five databases (SciSpace, Google Scholar, PubMed, ArXi…
- Artificial Intelligence: The Cutting-Edge Research Companion.
- DiCiurcio WT, Nanavati R, Miller M, et al.· Clin Spine Surg· 2026
- Artificial intelligence (AI) represents a paradigm-shifting technology that empowers computers and software to emulate human intelligence by processing vast amounts of data. Its ubiquitous utilization continues to expand across diverse domains. AI software leverages data to discern patterns, enhancing the efficiency and effectiveness of various tasks. This paper reviews 6 prominent AI platforms: Elicit, Scite, Trinka, SciSpace, Scholarcy, and Litmaps. The study aims to explore their applications in literature composition and their potential to streamline the entirety of the process. Despite t…
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