Accelerate Discovery with
Citations You Can Trust
The research assistant that reads, synthesizes, and critiques 200M+ papers. Zero hallucinations. 100% verifiable.
What Researchers Say
From doctoral candidates to tenured faculty across disciplines
The citation verification alone has saved me countless hours. What used to take days now happens in minutes. The ability to query across 200M papers and get verifiable sources is transformative for meta-analysis work.
Finally, an AI tool that understands the scientific method. The methodology critique feature is invaluable for peer review. It catches statistical issues that are easy to miss.
Game changer for PhD students. The ability to identify contradictions in literature has accelerated my dissertation work by months. Citation graphing revealed research gaps I'm now pursuing.
Invaluable for the literature review chapter of my thesis, particularly for mapping conflicting economic models. The outputs can sometimes be a bit too verbose, requiring editing down, but it ensures I haven't missed major counter-arguments.
The citation verification alone has saved me countless hours. What used to take days now happens in minutes. The ability to query across 200M papers and get verifiable sources is transformative for meta-analysis work.
Finally, an AI tool that understands the scientific method. The methodology critique feature is invaluable for peer review. It catches statistical issues that are easy to miss.
Game changer for PhD students. The ability to identify contradictions in literature has accelerated my dissertation work by months. Citation graphing revealed research gaps I'm now pursuing.
Invaluable for the literature review chapter of my thesis, particularly for mapping conflicting economic models. The outputs can sometimes be a bit too verbose, requiring editing down, but it ensures I haven't missed major counter-arguments.
Incredibly powerful for literature review. The contextual awareness is impressive. I wish the PDF export had more options, but the core research functionality is outstanding.
As someone who works across physics and materials science, the cross-disciplinary synthesis is phenomenal. It surfaces connections I would never have discovered manually.
Used this for a last-minute Horizon grant proposal. The synthesis of recent catalyst developments was incredibly fast. It struggles a bit with rendering complex chemical formulas in the summaries, but the source linking is rock solid.
I was skeptical about using AI for qualitative syntheses. While the initial connection to specialized sociological databases was clunky, it surfaced several obscure ethnographic studies I had completely missed.
Incredibly powerful for literature review. The contextual awareness is impressive. I wish the PDF export had more options, but the core research functionality is outstanding.
As someone who works across physics and materials science, the cross-disciplinary synthesis is phenomenal. It surfaces connections I would never have discovered manually.
Used this for a last-minute Horizon grant proposal. The synthesis of recent catalyst developments was incredibly fast. It struggles a bit with rendering complex chemical formulas in the summaries, but the source linking is rock solid.
I was skeptical about using AI for qualitative syntheses. While the initial connection to specialized sociological databases was clunky, it surfaced several obscure ethnographic studies I had completely missed.
The data extraction capabilities are excellent for systematic reviews. My only critique is that the interface could be more intuitive for batch processing.
The platform has revolutionized how our lab approaches systematic reviews. Being able to verify every claim against primary sources has improved our research quality.
The methodology critique tool is excellent for quick assessments of clinical trial validity. There is a slight learning curve to prompting it correctly for specific bias risks, but once mastered, it's an essential part of our workflow.
It's excellent at cross-referencing standards across civil engineering literature. It sometimes misses context hidden purely in complex schematics or diagrams, but for text-based data extraction, it's unparalleled.
The data extraction capabilities are excellent for systematic reviews. My only critique is that the interface could be more intuitive for batch processing.
The platform has revolutionized how our lab approaches systematic reviews. Being able to verify every claim against primary sources has improved our research quality.
The methodology critique tool is excellent for quick assessments of clinical trial validity. There is a slight learning curve to prompting it correctly for specific bias risks, but once mastered, it's an essential part of our workflow.
It's excellent at cross-referencing standards across civil engineering literature. It sometimes misses context hidden purely in complex schematics or diagrams, but for text-based data extraction, it's unparalleled.
Built on Real Research Data
Performance metrics from 50,000+ research queries
Query Response Time
Average response time across query types
Citation Accuracy Over Time
Current accuracy: 94.8% — Continuous improvement through ML refinement
Research Intelligence, Reimagined
Purpose-built for academics who demand precision, depth, and verifiable sources.
Contextual Awareness
Understands your entire research corpus. References past papers, connects concepts across disciplines.
Citation Graphing
Visualize knowledge networks. Discover hidden connections between papers and research areas.
Data Extraction
Pull structured data from any research paper. Export to JSON, CSV, or your pipeline.
Multi-Modal Analysis
Parse figures, equations, and tables. Extract insights from visual data with precision.
Hypothesis Testing
Challenge your assumptions. SciProton identifies contradicting evidence and alternative interpretations.
Enterprise Features
Built for teams and institutions with security and compliance in mind.
Built for Research, Not Chat
Generic LLMs hallucinate. SciProton verifies.
|
SciProton
Verified
|
Generic LLMs
|
|
|---|---|---|
|
Hallucination Rate
Based on 10K queries
|
|
|
|
Source Linking
Direct paper attribution
|
Always
|
Rarely
|
|
Citation Verification
Real-time validation
|
100%
|
None
|
|
Domain Expertise
Specialized training
|
Deep
|
General
|
|
Methodology Critique
Statistical analysis
|
Expert
|
Basic
|
Frequently Asked Questions
SciProton provides industry-grade research tools that are highly specialized and built for academic institutions and professional research teams. Access is granted on a case-by-case basis to ensure we can provide the level of support and infrastructure required. If you're interested in using SciProton, please reach out to us at access@sciproton.com with details about your research needs, institution, and use case. We're currently expanding our early access program and prioritizing researchers from academic institutions.
Unlike general-purpose AI models, SciProton is purpose-built for academic research with access to 200M+ verified papers across all major scientific databases. Every claim is linked to primary sources, citations are verified in real-time, and our system is trained to identify methodological flaws and contradictions in literature. We maintain a hallucination rate of 0.1% compared to 15%+ in generic LLMs. Our platform understands research methodology, can critique statistical approaches, and builds contextual awareness of your entire research corpus.
We're actively working on bringing free trial access to the public. Due to the computational intensity of our research-grade verification systems, we're rolling this out gradually to ensure quality of service. If you're interested in being among the first to try SciProton, please join our waitlist by submitting your information through the "Request Access" button. Researchers with .edu email addresses and those from partner institutions receive priority access. We expect to expand trial availability significantly in Q1 2025.
SciProton supports all major scientific disciplines including life sciences, physical sciences, engineering, computer science, social sciences, and humanities. Our database includes papers from over 50,000 journals including Nature, Science, Cell, IEEE, ACM, Springer, Elsevier, and all major preprint servers like arXiv and bioRxiv. The system is particularly strong in cross-disciplinary research, helping you discover connections between fields. We're continuously expanding coverage and adding specialized domain expertise through our ML training pipeline.
Join the Research Revolution
We're bringing free trials to the public. Be among the first to experience research-grade AI built specifically for serious academic work.
Limited early access spots available for researchers and institutions.
No credit card required. Priority access for .edu email addresses.