Independently verified against live vendor data on Jul 8, 2026.
Transparency
Partial
Contract
Monthly or Annual
Data training
Not Disclosed
Autonomy
Human Optional
Capabilities
deep-researchcitationsdata-analysispdf-analysisautonomousweb-search
Pros & Limitations
Editorial assessmentPros
- ✓Autonomous systematic review workflow screens 5,000 papers, extracts structured data (methodology, sample size, findings, limitations) into comparable tables, and generates cited reports without manual per-paper direction, compressing the most time-intensive step in academic research from weeks to minutes.
- ✓Exceptional institutional adoption: 40+ named customers on the customer stories page, including NASA, NIH, the CDC, Harvard, Stanford, Yale, Google, Johnson & Johnson, Takeda, and Unilever, alongside 5M+ total researchers. This is the strongest institutional validation of any AI research assistant in the index, confirming production reliability for high-stakes scientific and clinical work.
- ✓Official MCP server, full REST API, and SOC 2 Type II certification position Elicit as enterprise-ready research infrastructure: developers integrate systematic review capabilities into custom workflows via Claude Desktop, Claude Code, or any MCP-compatible client, with audit-grade security compliance.
Limitations
- ⚠Academic literature only, with no web, news, or business source coverage: researchers needing open-domain research must pair Elicit with Perplexity AI ($17/mo) or ChatGPT Deep Research ($20/mo) for questions extending beyond the peer-reviewed corpus.
- ⚠Significant pricing gap between free and paid tiers: Basic provides only 2 reports per month, and Pro at $49/month ($588/year) is four to five times the cost of Consensus ($12/mo) or SciSpace ($12/mo billed annually), a steep entry barrier for researchers needing moderate systematic review access.
- ⚠Thin public review trail despite heavy institutional adoption: Elicit has 1 Capterra review and an unclaimed G2 profile with 0 reviews as of Q3 2026, so procurement teams relying specifically on peer-review platforms have less to go on than the customer logo wall and case studies provide.
Technical Details
Deployment
web
Model architectureProprietary systematic-review pipeline over a 138M-paper corpus with third-party LLMs for extraction and synthesis
Avg setup time< 5 minutes (web app, free tier available immediately)
Autonomous rateFully autonomous: Elicit searches 138M papers and 545K clinical trials, extracts structured data from each relevant paper, synthesizes findings across studies, and generates cited literature reviews and systematic reports without manual per-paper direction. Systematic review workflow screens up to 5,000 papers per review. Per-report pricing structures each output as an independent resolution.
MCPServer
Integrations
MCP ServerAPISemantic ScholarPubMedOpenAlexClinicalTrials.govCSV Export
Security
SOC 2 Type II
Similar agents
Industries
AcademiaResearchPharmaHealthcare
Leave a review
Never displayed publicly.
Agent Stacks
See workflow stacks that feature Elicit.
Is this your tool?
Claim this listing free to get your embeddable badges, a review collection link, and the Verified checkmark.
Claim listing →Free · Every Two Weeks
AI Agent Price & Rating Tracker
Price changes, new agent launches, acquisitions, and rating updates across 344+ AI agents. Verified against live vendor data, not vendor marketing.
No spam. Unsubscribe anytime. We never share your email.