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Iris.ai Researcher Workspace
Shares tags: analyze, research & web, literature review
AIツールDead Man Walking
あなたの研究をElicitで高めよう
効率的で高品質な研究のためのセマンティック文献レビューコパイロット
shipped 2025年11月20日analyzepaid
1自動化された体系的文献レビューで、最大80%の時間を節約しましょう。
21億2500万本以上の論文を収録したデータベースにアクセスして、詳細なエビデンス合成を行いましょう。
3信頼性と透明性のために、文単位の引用で直接情報源を示してください。
Stork Quadrant
Dead Man Walking· 0/100
An LLM can do most of what this tool's UI promises. No moat, no agent presence.
“Elicit is a well-executed wrapper around capabilities I already have. The core loop — upload papers, get summaries, extract structured data — is something any modern LLM handles natively today. No proprietary data, no regulatory moat, no network effects. This will get squeezed from both sides: free models get better, and Semantic Scholar / Consensus / Perplexity are all fighting for the same researcher.”
Defensibility · 0/100
- Physical-world coupling
- Regulatory moat
- Network liquidity
- Proprietary refreshing data
- High-trust catastrophic workflows
- Multi-party coordination
- Brand / community / taste
An LLM alone could replace
- Summarize the findings of a research paper given its text or abstract
- Extract key variables, methods, and conclusions from academic papers
- Compare and contrast findings across multiple studies
- Generate a literature review narrative from a set of papers
Agent-Readiness · 0/100
- Verified MCP
- Listed on agent surfaces
- Usage-based pricing
- Headless agent auth
- Public OpenAPI
- Active changelog
- llms.txt
Score history · -8 pts over 2 re-scores
How to defend
The only real move is to own a vertical where literature errors are catastrophic — clinical trial synthesis, systematic reviews for regulatory submissions — and take on liability for accuracy. That's a trust moat. Without it, this is a UI that disappears.
- Ship an MCP server and list it on Stork — biggest single point gain (+25).
- Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
- Add a usage-based or per-call tier; per-seat-only pricing dies when agents replace seats (+15).
- Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
- Publish an OpenAPI spec at /openapi.json or /.well-known/openapi (+10).
Elicit Research Assistant at a Glance
コンタクト
</>Embed "Featured on Stork" Badge▼
<a href="https://www.stork.ai/en/elicit-research-assistant" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/elicit-research-assistant?style=dark" alt="Elicit Research Assistant - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/elicit-research-assistant)
overview
研究プロセスを革新しよう
Elicit Research Assistantは、文献レビューに伴う時間のかかる作業を効率化し、洞察と発見に集中できるようにします。研究者や学者向けに設計されたこのツールは、自動化と高度な検索機能を通じて、複雑な研究課題を簡素化します。
- 1データの自動抽出とレビュープロセス。
- 2あなたの特定のニーズに合わせてリサーチブリーフを調整しましょう。
- 3チームのためのコラボレーティブなワークフローに対応しています。
features
ワークフローを向上させるための主な機能
研究の旅を支える革新的な機能を発見してください。Elicitは徹底的な文献分析をサポートするように設計されており、あなたが発見をリードし続けることを保証します。
- 1効率的な官公庁の選定のためのダイナミックスクリーニング。
- 2リアルタイムデータ抽出で、迅速な結果を実現。
- 3複数言語のサポートと文献管理。
use cases
エリシットは誰が利用できますか？
Elicitは、大学院生やプロの研究者など、さまざまな研究段階にいる個人向けに設計されています。学術界や産業界に関わらず、Elicitはあなたの独自のワークフローや研究ニーズに適応したツールを提供します。
- 1生物医学、社会科学、経済学における実証研究。
- 2大規模研究チーム間の協力。
- 3多様な分野に対応したカスタマイズ可能なリサーチブリーフ。
competitors
Alternatives & Competitors
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SciSpace simplifies understanding research papers with tools like 'Chat with PDF' and supports interaction with content in over 75 languages.
While Elicit focuses on extracting key information and abstract summaries, SciSpace provides paper-specific summaries, insights, and conclusions, and allows users to chat with individual papers for deeper understanding. SciSpace offers free and paid plans starting from $12/month, similar to Elicit's paid model.
2
Consensus specializes in providing evidence-based answers to specific research questions by synthesizing findings across multiple studies and showing research consensus.
Consensus is designed for faster retrieval of specific answers and offers a 'Consensus Meter' for yes/no questions, which differs from Elicit's strength in detailed data extraction and systematic screening. It offers free and Pro plans starting at $15/month, comparable to Elicit's pricing structure.
3
Semantic Scholar↗
Semantic Scholar is a free, AI-powered academic search engine that uses semantic understanding to discover relevant research and provides one-sentence TLDR summaries for millions of papers.
Unlike Elicit's paid advanced features, Semantic Scholar is completely free and offers broader coverage with over 200 million indexed papers and strong citation analysis. However, it lacks Elicit's structured data extraction capabilities and sophisticated search for specific data points.
4
Paperguide↗
Paperguide is an all-in-one AI research assistant that supports the entire literature review process, from source discovery and PDF analysis to structured writing and citation management.
Paperguide offers a more comprehensive workflow than Elicit by integrating with over 1000 citation styles and generating publication-ready literature review sections, whereas Elicit primarily focuses on systematic screening and data extraction. It provides a free tier with basic features and a premium plan at $16.67/month (billed annually), aligning with Elicit's paid model.
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よくある質問
+Elicitではどのような種類の論文にアクセスできますか？
Elicitは1億2500万以上の論文にアクセスできるため、幅広い研究分野に適しています。
+Elicitはどのようにして引用の正確性を保証していますか？
Elicitは、AI生成の主張に対して文レベルの引用を提供し、ユーザーが学術論文の出典を簡単に確認できるようにしています。
+Elicitは共同研究に適していますか？
はい、Elicitは共同作業や大規模なワークフローをサポートするように設計されており、研究プロジェクトにおけるチームワークを強化する機能を備えています。
For builders
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