From idea to published paper
in one day, not two weeks.
STEMIND is the all-in-one research workspace with AI pipelines, full audit trail, and peer review.
LITERATURE SEARCH
Search by keywords, DOI, PMID, ArXiv ID
Physics-Informed Neural Networks: A Deep Learning Framework...
96% matchRaissi et al. · Nature 2024 · arxiv
Lang-PINN: From Language to Physics-Informed Neural Networks...
88% matchXin He, Liangliang You · arxiv · 2026
Core capabilities
Everything your research needs,
in one place.
From literature discovery to manuscript drafting — AI pipelines built for how researchers actually work.
AI Paper Triage
Paste any DOI or abstract. Get a relevance score against your research profile and 3 evidence-based reasons in under 10 seconds. Open-access PDF via Unpaywall included.
Research Gap Detector
Select 5–50 papers. AI identifies methodological, contextual, and conflict gaps — each cited to the exact source. Zero hallucination.
Lab Knowledge Graph
All lab papers as a citation + semantic network. New members understand the research landscape in 1 hour, not 3 months.
Writing Assistant
Draft Related Work sections from your library with in-line citations linking to exact papers. Academic tone enforcement, LaTeX export, and anti-hallucination guarantees built in.
Recent advances in physics-informed learning [Raissi et al., 2024] demonstrate... building on attention mechanisms [Vaswani et al., 2023]...
Publication Monitor
Upload a draft abstract. STEMIND scans arXiv and bioRxiv daily and alerts you if another group is publishing something too similar.
PI Activity Feed
Real-time feed of every lab member's reading and annotations. Click any event to open the PDF at the exact highlighted passage.
See it in action
Three research modes, one workspace.
EXPLORE finds, DEVELOP builds, VALIDATE proves — seamlessly connected.
EXPLORE MODE
Literature Discovery
Search by keywords, DOI, PMID, ArXiv ID or URL
Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward...
96%Raissi et al. · Nature 2024 · arxiv
Lang-PINN: From Language to Physics-Informed Neural Networks via Language Model...
88%Xin He · arXiv 2026
Attention Is All You Need: Transformer Architecture for Sequence-to-Sequence Tasks
82%Vaswani et al. · NeurIPS 2023
We do what others can't
| Feature | STEMIND | Elicit | Zotero | Notion |
|---|---|---|---|---|
| AI triage with relevance score | ✓ Full | ✓ | — | — |
| Research gap detection | ✓ Full | Partial | — | — |
| Shared PDF annotations | ✓ Full | — | Partial | — |
| PI activity feed | ✓ Full | — | — | Partial |
| Publication monitor | ✓ Full | — | — | — |
| Anti-hallucination citations | ✓ Full | Partial | — | — |
| Flat-rate lab pricing | $249/team | $65/usr | Free | $15/usr |
Pricing
Simple pricing. Serious research.
Start with a 7-day PRO trial — no credit card needed.
Free
Try before you commit
Best for exploring
Get started free- 100 searches/day
- 5 AI Digests/day
- 50 papers in library
- 2 Nexus Explore / month
- Smart Alerts (read-only)
- Citation export (APA, BibTeX)
- Conference deadline tracker
- Nexus Develop
- Peer Review
- Grant Writing AI
Starter
For PhD students starting out
Best for students
Start Starter plan →- 1,000 searches/day
- 30 AI Digests/day
- 10 Nexus Explore / month
- 3 Nexus Develop / month
- Unlimited library
- Active Smart Alerts
- Citation export (all formats)
- Email support 24h
Research
For serious individual researchers
Best for researchers
Start Research →- Unlimited searches
- 50 AI Digests/day
- 30 Nexus Explore / month
- 8 Nexus Develop / month
- 2 Nexus Validate / month
- Peer Review access
- Grant Writing AI
- Priority support 12h
Lab
Shared workspace for research teams
Best for PIs and labs
Get Lab →- Everything in Research
- 10 team members
- Shared Lab quota pool
- Lab digest emails
- Knowledge Graph
- Lab Handover
- Admin dashboard + analytics
- Email support
Pharma, BigTech & Think Tanks — SSO, on-premise data, GDPR-aligned data handling, 20+ seats
Secure payments via Paddle · Cancel anytime · 30-day money-back guarantee
All prices include applicable taxes · The amount you see is the amount you pay
Frequently asked questions
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