Mimir Systems enregistre 1 555 visites mensuelles avec une croissance mensuelle de +24,6 % et un modèle tarifaire Tarifs sur demande. OpenRead enregistre 27 098 visites mensuelles avec une croissance de -51,6 % et un modèle tarifaire Freemium, Payant, Tarifs sur demande.
Mimir Systems is an AI engine for advanced materials discovery. It represents chemistry, structure, architecture and process in one searchable space, helping aerospace, semiconductor and energy teams find polymers, composites and other material classes faster than traditional R&D.
OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace.
| Dimension / Métrique | | |
|---|---|---|
| Domaine officiel | mimirsystems.ai | openread.academy |
| Modèle tarifaire | Tarifs sur demande | Freemium, Payant, Tarifs sur demande |
| Visites mensuelles | 1,56 k (1 555) | 27,1 k (27 098) |
| Delta de trafic mensuel |
|---|
| +307 (+24,6 %) |
| -28,84 k (-51,6 %) |
| Marché principal et part | 🇺🇸 États-Unis (100 %) | 🇮🇩 Indonésie (27,2 %) |
|---|
| Visites directes / mois | 613 | 7,07 k |
|---|
| Note des utilisateurs | 4,3 | 4,3 |
|---|
| Plateformes prises en charge | Site web | Site web |
|---|
Mimir Systems is an AI engine for advanced materials discovery. It represents chemistry, structure, architecture and process in one searchable space, helping aerospace, semiconductor and energy teams find polymers, composites and other material classes faster than traditional R&D.
Chemistry, structure, architecture and process are held in one object, giving the engine a unified substrate that molecular-only models lack.
Candidate materials are generated from the experiments that surround them in vector space, so predictions stay anchored to real-world results.
The engine treats negative results as high-value information, using them to rule out large regions of the design space faster than positive results alone.
For teams without materials expertise, Mimir's scientists take requirements and deliver a working prototype rather than just a report or a model.
OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace.
Search a corpus of hundreds of millions of papers by meaning, with new content indexed continuously from thousands of journals.
Ask questions of any paper and place multiple studies side by side to spot agreements, contradictions and the bigger picture.
A visual graph maps how papers and concepts connect, helping you find adjacent work you would otherwise miss.
Upload your own PDFs, capture reading notes, and organize everything in a single research workspace.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Moteur de recherche académique IA pour la littérature évaluée par les pairs
#2
Plateforme de recherche par IA pour lire, comprendre et rédiger des articles scientifiques
#3Gratuit / Open sourceAssistant de recherche IA pour revue et synthèse des preuves
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Discutez avec n'importe quel PDF, vidéo ou site web et obtenez des réponses sourcées en quelques secondes
Des réponses IA fondées sur 300 M+ de textes scientifiques
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
Gratuit / Open sourceExplorer la littérature scientifique comme un graphe visuel d'articles liés
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
Gratuit / Open sourceExplorer visuellement le savoir scientifique grâce à l'IA
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Moteur de recherche académique IA pour la littérature évaluée par les pairs
Plateforme de recherche par IA pour lire, comprendre et rédiger des articles scientifiques
Gratuit / Open sourceAssistant de recherche IA pour revue et synthèse des preuves
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Discutez avec n'importe quel PDF, vidéo ou site web et obtenez des réponses sourcées en quelques secondes
Des réponses IA fondées sur 300 M+ de textes scientifiques
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
Gratuit / Open sourceExplorer la littérature scientifique comme un graphe visuel d'articles liés
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
Gratuit / Open sourceExplorer visuellement le savoir scientifique grâce à l'IA
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
