2026 AI research tool comparison
Scientify vs Elicit: systematic review and full research workflow
Elicit provides a fixed interface for systematic reviews and structured evidence. Scientify's scientific agent adjusts search strategies around a topic, attempts full-text PDF retrieval, organizes evidence, and continues into hypotheses and experiments.
Best fit
Evaluate Elicit first when
- You need a dedicated systematic-review workflow
- Paper screening must retain inclusion and exclusion reasons
- Structured fields need source passages from full papers
- Library, Alerts, and review-data exports are central
Evaluate Scientify first when
- Search strategies must adapt around the topic instead of staying inside a fixed screening list
- Web retrieval skills should attempt to obtain full-text PDFs
- Evidence must become hypotheses and actual experiments or simulation
- The agent must keep iterating from intermediate results
Scientify
A dedicated scientific agent for long-horizon exploration
Scientify's scientific agent organizes search strategies around a research goal, attempts to retrieve full-text PDFs, forms hypotheses, writes code, and runs experiments. It advances the next iteration from intermediate results until the project produces research progress or a result. The core agent is open source with 2k+ Stars on Github. Its paper was selected for ICML 2026.
- Literature research
- Organize search strategies, attempt full-text PDF retrieval, and preserve sources and evidence
- Experiments
- Write code, run commands, analyze data, and produce inspectable figures and results
- Cloud execution
- Keep tasks running after the laptop closes and reopen the same workspace from a phone
- Open evidence
- The core agent is open source with 2k+ Stars on Github, and its paper was selected for ICML 2026
Research lifecycle
Scientify covers autonomous literature research and experiments; Elicit provides a fixed review workflow
Elicit productizes systematic-review steps as screening and extraction interfaces. Scientify lets an agent organize retrieval, evidence, and experiments around the topic and preserves the full process in one workspace.
Research question and literature search
Elicit
Elicit searches around a research question and lets users customize which papers and information belong in a report.
Scientify
The agent adjusts keywords, sources, and retrieval paths from the research goal and attempts to obtain full-text PDFs through web retrieval.
Current finding
Choose Elicit for a fixed screening interface. Choose Scientify for open-ended retrieval that keeps adapting.
Screening, extraction, and auditability
Elicit
Its systematic-review workflow covers criteria, inclusion decisions, structured extraction, supporting passages, and exports, with interactive tables as a core artifact.
Scientify
The agent reads full papers, creates source ledgers, evidence tables, and inclusion records, and preserves originals beside the results.
Current finding
Elicit has the more direct standardized interface. Scientify has the more flexible process and can continue into experiments.
From evidence to experiment design
Elicit
Elicit can produce research reports, surface gaps, and organize existing evidence.
Scientify
The agent can turn an evidence gap into a testable hypothesis, data plan, code, and minimum experiment.
Current finding
Scientify performs evidence organization, hypothesis formation, and experiment planning within the same task.
Code, experiments, and iteration
Elicit
The public materials reviewed do not present general code execution, scientific software, or long-running experiments as Elicit's core capabilities.
Scientify
An isolated cloud computer provides a file system and terminal for running experiments and revising the project from results.
Current finding
Scientify covers more of the lifecycle when the deliverable includes actual runtime results.
Output, reproducibility, and ongoing projects
Elicit
Elicit exports screening data, tables, references, and reports, while Library and Alerts maintain evidence work.
Scientify
The workspace retains literature, data, code, environment, logs, and reports across repeated experiment cycles.
Current finding
Elicit reproduces a structured review workflow. Scientify reproduces the complete project from literature to experiment results.
Pricing and usage
Elicit Pricing and usage
These products use subscriptions, seats, credits, workflow quotas, or product bundles. The table records the main public individual tiers and the limits that affect research work.
Scientify
Executable cloud research agent
Free access
New users get a free cloud computer and $5 in model credit
Main paid plans
Starter $19/month with $60 model allowance; Researcher $29 with $90; Professional $99 with $350.
Billing model
Model allowance is deducted at provider API list prices.
Usage and limits
Allowance expires after one month and does not roll over. Plans are purchased manually and do not auto-renew.
Elicit
Systematic review and structured evidence workflow
Free access
Basic is free with limited Research Agent, Research Reports, and systematic-review usage
Main paid plans
Annual equivalents are $11, $39, and $89 per user/month for Plus, Pro, and Scale. Enterprise is custom.
Billing model
Per-user subscriptions raise Agent, report, and systematic-review usage, then add API, collaboration, and administration.
Usage and limits
Pro provides 5x workflow usage and Scale 9x. The annual page shows savings of about 40% to 43%.
Comparison boundaries
- Elicit capabilities and plan limits change quickly; this page uses the official information available at the snapshot date.
- Elicit provides predefined screening, extraction, Library, Alerts, and review-data export interfaces.
- Scientify organizes the review through an agent and workspace files, fitting projects that need adaptive retrieval and later experiments.