A/B Smartly vs Elicit
Compare research AI Tools
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A
A/B Smartly
Enterprise experimentation platform with a sequential testing engine event based pricing and flexible deployment so product teams run faster trustworthy A B tests share insights broadly and keep governance strong across web mobile and backend.
Pricing Contact sales
Category research
Difficulty Intermediate
Type SaaS
Status Active
Elicit
AI research assistant for literature reviews, paper search, evidence tables and automated research reports with freemium access and paid tiers.
Pricing Free / $10 per month
Category research
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in A/B Smartly
experimentationab-testingstatisticsserver-sidewarehouse-nativegovernance
Shared
None
Only in Elicit
literature-reviewsystematic-reviewsacademicpolicybiomed
Key Features
A/B Smartly
- • Sequential testing engine: stop earlier without inflating error rates so winners ship faster and inconclusive tests end decisively saving time and traffic
- • Warehouse native workflows: route events to your lake or house so analysts reuse metrics segments and joins with lineage and reproducibility across teams
- • SDKs across stacks: integrate once into web mobile and backend so feature flags exposures and metrics remain consistent across platforms and services
- • Source control friendly: treat experiments as code with reviewable configs CI checks and templates that prevent errors before traffic hits production
- • Collaboration and notes: attach hypotheses screenshots and decisions to each test so outcomes are searchable and shareable in postmortems and planning
- • Event based pricing: avoid per seat or per test limits grow programs with predictable unit economics and fewer internal license battles
Elicit
- • Paper search with AI ranked relevance and filters
- • PDF upload with table and claim extraction
- • Auto generated evidence tables and reports
- • Keyword search across PubMed and clinical trials
- • Research Agent workflows for broad overviews
- • Alerts that notify when new studies match topics
Use Cases
A/B Smartly
- → Feature rollout gates: validate impact behind flags then graduate safely once primary metrics clear with acceptable side effects across segments
- → Checkout funnel fixes: trial copy layout and sequencing while monitoring revenue and refunds to avoid profitable but risky changes
- → Search relevance tuning: compare ranking tweaks with guardrails for speed stability and engagement beyond a single click proxy
- → Performance tradeoffs: measure latency shifts alongside conversion so teams understand when speed investments or regressions are acceptable
- → Paywall and pricing tests: explore presentation and eligibility while keeping fairness guardrails and refund tracking visible to finance
- → Notification systems: iterate cadence and targeting while measuring retention spam complaints and app store optics over weeks
Elicit
- → Accelerate literature reviews for grant proposals
- → Build evidence tables for clinical or policy briefs
- → Map competitive landscapes and prior art quickly
- → Monitor new trials and studies with automated alerts
- → Extract outcomes and populations from uploaded PDFs
- → Prepare reading lists for product and UX research
Perfect For
A/B Smartly
growth leaders, data scientists, product managers, experimentation engineers, analysts and SRE partners at companies with strong telemetry security and compliance expectations
Elicit
researchers evidence synthesis teams clinical affairs product and policy analysts students and faculty who need rigorous literature reviews with traceable sources
Capabilities
A/B Smartly
Sequential Statistics Professional
Warehouse and SDKs Professional
Policy and Audit Professional
Knowledge Sharing Intermediate
Elicit
AI paper discovery Professional
Structured data from PDFs Professional
Reports and tables Professional
Alerts and updates Intermediate
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