Scientify vs Elicit
One builds an auditable evidence base. One carries that evidence into experiments.
Elicit is a specialist product for systematic reviews and structured evidence work. Scientify is an executable cloud workspace for sources, code, experiments, and results. They occupy adjacent stages of the lifecycle more than they replace each other.
Choose Elicit to screen large paper sets, define inclusion criteria, and extract structured evidence. Choose Scientify after the evidence base must become code, experiments, and a persistent project.
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
- The research question must become data and code
- You need to run experiments, simulation, or compute
- The agent must iterate from intermediate results
- Evidence, code, parameters, logs, and reports must stay in one project
Research lifecycle
Elicit deepens the evidence workflow. Scientify extends the project workflow.
Elicit is complete inside systematic review; Scientify is complete across the transition from evidence to execution and delivery.
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 searches public and scholarly sources from a goal, but does not provide Elicit's dedicated scholarly index and large-scale screening interface.
Elicit is more specialized when retrieval and evidence recall are the bottleneck.
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 can produce evidence tables and source ledgers, but the process is organized by task files rather than a fixed review protocol.
A general agent output should not be presented as equivalent to Elicit's dedicated review workflow.
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.
This is a natural handoff: Elicit builds the evidence base and Scientify continues into validation.
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.
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.
Both value traceability, but one reproduces an evidence workflow and the other an executable project.
Comparison boundaries
- Elicit capabilities and plan limits change quickly; this page uses the official information available at the snapshot date.
- Vendor accuracy and time-saving claims are vendor evidence, not a cross-product winning score on this page.
- Systematic reviews still require researchers to define the question, verify retrieval coverage, and read original papers.
A complete research process does not require one tool to own every stage. It requires the stages to continue.
Elicit takes the evidence workflow deeper; Scientify carries that evidence into an execution environment. For projects that require both rigorous review and experiment validation, the products can form a stack rather than a single-winner contest.