Migrate your SupportFinity data
AI-native recruitment automation platform for enterprises and startups replacing fragmented ATS tools with unified hiring intelligence.
In its favor
Why people choose SupportFinity
The signal that keeps SupportFinity on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Growth-stage teams pick SupportFinity for its all-in-one ATS without per-seat billing on the base plan, keeping costs flat while hiring volume scales unpredictably.
The pre-validated global talent cloud with 2.4 billion profiles lets recruiting teams fill specialised roles in technical domains faster than manual sourcing pipelines.
Domain-specific assessment building through the Atom agent allows healthcare compliance, cybersecurity, and data roles to be evaluated by AI-generated rubrics without specialist internal expertise.
DISC+ assessments and AI-ranked candidate matching reduce time-to-offer from typical 50+ day cycles to under 6 days according to platform benchmarks.
The salary estimator module gives early-stage startups a near-accurate people-cost picture for investor confidence and budget planning.
The credits system ($0.195/credit) becomes unpredictable at scale—high-volume hiring shops report bill shock when AI features consume credits faster than expected.
Smaller or non-technical hiring teams find the AI-first interface overwhelming compared to simpler ATS tools that offer basic applicant tracking without agent automation.
Lack of transparent public API documentation makes integration with existing HRIS or payroll systems a custom development effort rather than an out-of-box feature.
The platform markets primarily to enterprises and agencies; solo or very small team recruiters feel underserved by the feature set relative to simpler alternatives.
Reasons to switch
Why people leave SupportFinity
The recurring reasons buyers give for replacing SupportFinity. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where SupportFinity fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
SupportFinity pricing overview
SupportFinity uses a flat-rate base tier plus a credits economy for AI-driven features. Growth costs $259/month with 3 seats and 14,400 annual credits. Enterprise is custom-priced with unlimited seats and dedicated support, with free data migration as a stated benefit.
Growth
Tier 1 of 2
$259/month (billed annually $3,108)
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on SupportFinity's schedule — see our quote-based pricing →
What gets migrated
SupportFinity object support
Object-by-object support for SupportFinity migrations. Per-pair details surface during scoping.
Jobs (Positions)
Fully supportedJobs are the primary hiring container in SupportFinity. The Growth plan offers unlimited job postings; we map job title, description, department, location, and status fields directly to the destination ATS standard schema.
Candidates
Fully supportedCandidate profiles are the core record. We map name, email, phone, resume/CV, work history, education, and custom profile fields 1:1. The global talent cloud enrichment (2.4B profiles) is a read-only attribute we preserve as a source tag.
Applications
Fully supportedApplication records link a Candidate to a Job with timestamps, source channel, and current stage. We preserve the full application history including withdrawn or rejected states.
Assessments
Mapping requiredSupportFinity supports DISC+ assessments and custom AI-generated assessments via the Atom agent. We map assessment results as structured scores; however, custom rubric definitions require field-level mapping to the destination format since assessment schema varies by platform.
Interviews
Mapping requiredInterview records include scheduled time, interviewer assignment, and notes. Sia interview recordings are stored as attachments—binary export requires handling via direct file download, not API streaming.
Pipeline Stages
Mapping requiredSupportFinity uses configurable pipeline stages (Screening, Interview, Offer, Hired, etc.). Stage names and count are tenant-specific; we map stage IDs and labels to the destination pipeline, flagging any stages with no matching equivalent.
Users (Team Members)
Fully supportedUser accounts with role assignments (Recruiter, Hiring Manager, Admin). Growth plan caps at 3 seats; Enterprise offers unlimited seats. We map user email, name, and role to the destination ATS.
Notes and Comments
Fully supportedFree-text notes attached to candidates or applications are preserved as activity records. We export with timestamps and author attribution preserved.
Communications
Mapping requiredCandidate email and SMS conversations via unlimited mailboxes. Thread structure and attachment handling requires mapping to the destination's conversation model.
Screening Questions
Mapping requiredJob-specific screening questions and candidate answers are custom fields at the application level. We map question text and answer values; skip logic and conditional branching requires manual review per job.
Talent Signals
Mapping requiredAI-generated talent signals and ranking scores are proprietary metadata. We export raw scores and signal labels as custom numeric/text fields; destination platforms may treat these as informational only.
Credits Usage Log
Mapping requiredThe credits ledger (credits purchased, credits consumed, balance) is specific to SupportFinity's billing model. We export consumption records as historical data but note that no destination platform replicates the credit model natively.
Offers
Fully supportedOffer records include salary, start date, and status. We map offer details to the destination ATS offer or employment terms object.
| Object | Support | Notes |
|---|---|---|
| Jobs (Positions) | Fully supported | Jobs are the primary hiring container in SupportFinity. The Growth plan offers unlimited job postings; we map job title, description, department, location, and status fields directly to the destination ATS standard schema. |
| Candidates | Fully supported | Candidate profiles are the core record. We map name, email, phone, resume/CV, work history, education, and custom profile fields 1:1. The global talent cloud enrichment (2.4B profiles) is a read-only attribute we preserve as a source tag. |
| Applications | Fully supported | Application records link a Candidate to a Job with timestamps, source channel, and current stage. We preserve the full application history including withdrawn or rejected states. |
| Assessments | Mapping required | SupportFinity supports DISC+ assessments and custom AI-generated assessments via the Atom agent. We map assessment results as structured scores; however, custom rubric definitions require field-level mapping to the destination format since assessment schema varies by platform. |
| Interviews | Mapping required | Interview records include scheduled time, interviewer assignment, and notes. Sia interview recordings are stored as attachments—binary export requires handling via direct file download, not API streaming. |
| Pipeline Stages | Mapping required | SupportFinity uses configurable pipeline stages (Screening, Interview, Offer, Hired, etc.). Stage names and count are tenant-specific; we map stage IDs and labels to the destination pipeline, flagging any stages with no matching equivalent. |
| Users (Team Members) | Fully supported | User accounts with role assignments (Recruiter, Hiring Manager, Admin). Growth plan caps at 3 seats; Enterprise offers unlimited seats. We map user email, name, and role to the destination ATS. |
| Notes and Comments | Fully supported | Free-text notes attached to candidates or applications are preserved as activity records. We export with timestamps and author attribution preserved. |
| Communications | Mapping required | Candidate email and SMS conversations via unlimited mailboxes. Thread structure and attachment handling requires mapping to the destination's conversation model. |
| Screening Questions | Mapping required | Job-specific screening questions and candidate answers are custom fields at the application level. We map question text and answer values; skip logic and conditional branching requires manual review per job. |
| Talent Signals | Mapping required | AI-generated talent signals and ranking scores are proprietary metadata. We export raw scores and signal labels as custom numeric/text fields; destination platforms may treat these as informational only. |
| Credits Usage Log | Mapping required | The credits ledger (credits purchased, credits consumed, balance) is specific to SupportFinity's billing model. We export consumption records as historical data but note that no destination platform replicates the credit model natively. |
| Offers | Fully supported | Offer records include salary, start date, and status. We map offer details to the destination ATS offer or employment terms object. |
Gotchas
What to watch for in SupportFinity migrations
Issues we've hit on past SupportFinity migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Credits consumption rate is non-linear for AI features
Interview recordings stored as binary attachments require separate export handling
Growth plan 3-seat limit applies to team members, not candidates
| Severity | Issue |
|---|---|
| High | Credits consumption rate is non-linear for AI features |
| Medium | Interview recordings stored as binary attachments require separate export handling |
| Low | Growth plan 3-seat limit applies to team members, not candidates |
Leaving SupportFinity?
Where SupportFinity customers move next
5 destinations SupportFinity can migrate to.
How a SupportFinity migration works
Four steps, SupportFinity-specific
Connect
Not publicly documented into SupportFinity. Scopes limited to read-only on the data we move.
Map
We translate SupportFinity-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate SupportFinity quirks before production.
Migrate
Full migration with SupportFinity rate-limit handling. Rollback available throughout.
FAQ
SupportFinity migration FAQ
Answers to the questions buyers ask most during SupportFinity migration scoping. Not seeing yours? Book a call.
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Free scoping call with a migration engineer. Tell us about your SupportFinity setup and destination — written quote back within a business day.