Category
AI Screening & Matching
Rating
4.8/5 (10 Reviews)
Availability
HQ
New York, United States
Pricing
Free
Free tier
No
Best for
Also in
Capabilities
What is SquarePeg?
SquarePeg is an AI screening and sourcing layer that adds applicant scoring, fraud detection, passive candidate discovery, and talent rediscovery on top of an existing ATS, rather than replacing it. It evaluates applicants against the job description and hiring manager priorities, automatically ranking the top candidates and filtering out those who don't meet core eligibility requirements. Your team configures the screening criteria and reviews the ranked shortlist directly; Effi Flo's role is the integration work that adds SquarePeg's agents on top of the ATS your team already runs.
What are SquarePeg's key features?
Screening that works inside your existing ATS: SquarePeg connects to 95+ ATS platforms and runs candidate sourcing, screening, and profile enrichment from a single chat interface - no new system to learn, just AI working inside the workflow you already use.
Source and screen in one conversation: Tell SquarePeg what you're looking for in plain language and it sources candidates, scores them against your criteria, and surfaces the strongest matches - without configuring filters or building search strings manually.
Enriches candidate profiles automatically: SquarePeg pulls additional data points on sourced candidates - skills, experience signals, and contact data - so the profiles that reach your recruiters are more complete than what the ATS alone captures.
Finds candidates your ATS database doesn't have: For specialized roles where your existing database has few matches, SquarePeg's sourcing layer brings in external candidates and routes them into your existing pipeline without a separate sourcing tool login.
Works inside your ATS pipeline, not alongside it: Because SquarePeg integrates directly with your existing ATS, sourced and screened candidates appear in your normal pipeline view - so recruiters never have to check a separate sourcing tool to see what the AI found.
How do recruiting teams use SquarePeg?
- A lean in-house TA team without a dedicated screening function uses SquarePeg to score and rank inbound applicants against job requirements inside their existing ATS, without a rip-and-replace migration or a new tool for recruiters to learn.
- A fast-moving tech company hiring across multiple functions uses SquarePeg's natural-language criteria setting - must-have, nice-to-have, dealbreaker - to standardize what passes through early-stage screening across hiring managers with different standards.
- A multi-desk agency uses SquarePeg to reduce manual resume review time on high-volume requisitions, with fraud detection signals flagging suspicious applicant profiles before they consume recruiter time in a screening conversation.
Who is SquarePeg best for?
- Lean teams that want AI candidate scoring and screening added directly inside their existing ATS without replacing or reconfiguring the pipeline
- Organizations that need explainable rationale behind every candidate score - not a black-box ranking a hiring manager can't interrogate
- Teams that want fraud detection and candidate rediscovery bundled with screening, set up once and largely self-running thereafter
What are SquarePeg's pros and cons?
Pros
- Integrates with 95+ ATS platforms, so no vendor lock-in or migration required
- Evaluates resume claims by researching companies, reducing fraudulent candidates in the pipeline
- Rediscovers qualified past candidates with current career context, filling roles faster from known talent
- Sources passive candidates without requiring recruiters to leave the ATS interface
- Scores inbound applicants on role fit rather than keyword matching, improving quality of candidates reviewed
Cons
- Sourcing and ATS rediscovery features listed as coming soon on website, so current availability is limited
- Requires integration with an existing ATS; does not work as a standalone recruiting platform
- Relies on chat interface, which may require training for teams unfamiliar with conversational AI tools
What are people saying about SquarePeg?
Reviewers highlight "Strong candidate for an early-stage startup in need of a hiring and ERM system". Others note "Finally Another Option for Talent Acquisition!". One common thread: "A Viable Replacement to Agency Recruiting, at a Fraction of the Cost!".
Consolidated from 10 reviews across Capterra · Updated May 1, 2026
How does SquarePeg compare to alternatives?
| Feature | SquarePeg | hackajob | Arbi by Neuroscale |
|---|---|---|---|
| Category | AI Screening & Matching | AI Screening & Matching | AI Screening & Matching |
| AI-first | |||
| API | |||
| MCP | |||
| GDPR | |||
| Best for | Agency, In-House | Agency, In-House | Agency, In-House |
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Frequently asked questions about SquarePeg
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