Migrate your Cadient data
AI-powered ATS built for high-volume hourly hiring. It scores candidates with proprietary ML models and surfaces measurable retention outcomes, but lacks a documented public API for migrations.
In its favor
Why people choose Cadient
The signal that keeps Cadient on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
AI-driven candidate scoring that pulls screening data, references, and tenure prediction into a single SmartScore signal, reducing manual review burden at scale.
Configurable structured screening workflows that route candidates through configurable stages, reducing repetitive HR work on high-volume requisitions.
Measurable outcomes cited in case studies: 20% reduction in turnover, 41% reduction in hiring time, and millions in avoided turnover costs for large-volume employers.
SmartTenure ML model predicts which candidates are most likely to stay long-term, helping hiring managers make retention-informed decisions before extending offers.
Referred candidate tracking via SmartRefer integrates referral sources into the hiring funnel, turning employee networks into a measurable performance channel.
1,000-record export caps — G2 reviewers report data pulls cap at 1,000 entries per export, forcing recruiters to run multiple exports and merge files manually, which creates real friction during reporting cycles and migrations.
Limited integration ecosystem — independent reviews note Cadient's integration set is narrow versus larger ATS suites, with users specifically calling out integration issues between Cadient and HRIS systems.
Configuration rigidity — TrustRadius and G2 reviewers describe hiring steps that get confusing and require step 'restarts', plus requests for more customisation that the platform does not currently support.
Sales-process complaints — Cadient G2 reviews include accounts where prospects said the vendor 'failed to share important details' and 'were dishonest about posting and sponsoring jobs, and did not clarify that it was only an ATS service', a credibility gap during procurement.
Weaker analytics — multiple reviewers ask for better data analytics, particularly when filtering applications by position the results bleed in unrelated applications, undermining trust in dashboards for high-volume hiring.
Reasons to switch
Why people leave Cadient
The recurring reasons buyers give for replacing Cadient. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Cadient 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
Cadient pricing overview
Cadient pricing is fully quote-based and tied to hiring volume, number of locations, modules selected (SmartScore, SmartTenure, SmartRefer, SmartCommunicate), and implementation scope. No public pricing page, tier names, or per-user rates are published on cadienttalent.com or on G2, SoftwareSuggest, Slashdot, or Research.com. Implementation and premium-feature add-ons are separate line items that require Cadient sales engagement to scope. There is no free trial or self-service signup.
Custom (sales-led)
Tier 1 of 1
Custom — no public tiers published
What's included
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What gets migrated
Cadient object support
Object-by-object support for Cadient migrations. Per-pair details surface during scoping.
Candidates
Fully supportedStandard fields (name, contact info, work history, source, tags) are well-documented and transfer cleanly. Resume parsing output format varies by source; we normalise to plain-text or structured JSON depending on destination requirements.
Requisitions
Fully supportedRequisition metadata (title, department, location, open date, hiring manager) uses standard field names. We map these directly to the destination object's equivalent fields and flag any custom requisition-level properties for review.
Applications
Fully supportedApplication records are linked to a Candidate and a Requisition. All standard fields (apply date, status, source, referral) migrate cleanly. Custom application properties are reviewed during scoping and mapped individually.
Scorecards
Fully supportedScorecard responses follow a structured question-and-answer format. We preserve the full response history per reviewer. Note that SmartScore aggregates these; the aggregate score is migrated as a numeric field, not the underlying raw responses separately.
Interviews
Fully supportedInterview records include interviewer, date/time, type (phone, video, onsite), and disposition status. We preserve the full interview schedule and any notes attached at the record level.
SmartTenure Predictions
Not in this platformSmartTenure generates a stay-risk score using a proprietary ML model trained on Cadient's internal dataset. The model weights and raw signals are not exposed via any documented export mechanism. We cannot reproduce this score in a destination system; we migrate it as a static informational field only if the raw score is available in the record.
SmartScore Aggregates
Mapping requiredSmartScore is a composite signal synthesised from screening, references, and tenure prediction. The composite score is transferable as a numeric field, but the component-level breakdowns are not separately exportable. We note this limitation in the data map and advise clients to recalibrate any downstream scoring logic in the destination system.
Workflow Configurations
Mapping requiredWorkflow stage names, routing rules, and automated trigger conditions vary widely across ATS platforms. We capture the current stage definitions and map them to destination equivalents, but business logic (auto-reject rules, escalation triggers) requires manual review and re-implementation.
Screening Assessments
Mapping requiredAssessment results depend on the screening tool Cadient integrates with (AccurateNow, Paycor, or other). We migrate raw assessment scores as custom fields and flag any assessments that require re-scoring in the destination ATS.
Offer Letters
Mapping requiredOffer letter templates and issued offer records can be exported as documents. However, the offer status (accepted, pending, declined) may be stored as an application sub-status rather than a standalone object. We map these carefully to preserve the full offer lifecycle.
| Object | Support | Notes |
|---|---|---|
| Candidates | Fully supported | Standard fields (name, contact info, work history, source, tags) are well-documented and transfer cleanly. Resume parsing output format varies by source; we normalise to plain-text or structured JSON depending on destination requirements. |
| Requisitions | Fully supported | Requisition metadata (title, department, location, open date, hiring manager) uses standard field names. We map these directly to the destination object's equivalent fields and flag any custom requisition-level properties for review. |
| Applications | Fully supported | Application records are linked to a Candidate and a Requisition. All standard fields (apply date, status, source, referral) migrate cleanly. Custom application properties are reviewed during scoping and mapped individually. |
| Scorecards | Fully supported | Scorecard responses follow a structured question-and-answer format. We preserve the full response history per reviewer. Note that SmartScore aggregates these; the aggregate score is migrated as a numeric field, not the underlying raw responses separately. |
| Interviews | Fully supported | Interview records include interviewer, date/time, type (phone, video, onsite), and disposition status. We preserve the full interview schedule and any notes attached at the record level. |
| SmartTenure Predictions | Not in this platform | SmartTenure generates a stay-risk score using a proprietary ML model trained on Cadient's internal dataset. The model weights and raw signals are not exposed via any documented export mechanism. We cannot reproduce this score in a destination system; we migrate it as a static informational field only if the raw score is available in the record. |
| SmartScore Aggregates | Mapping required | SmartScore is a composite signal synthesised from screening, references, and tenure prediction. The composite score is transferable as a numeric field, but the component-level breakdowns are not separately exportable. We note this limitation in the data map and advise clients to recalibrate any downstream scoring logic in the destination system. |
| Workflow Configurations | Mapping required | Workflow stage names, routing rules, and automated trigger conditions vary widely across ATS platforms. We capture the current stage definitions and map them to destination equivalents, but business logic (auto-reject rules, escalation triggers) requires manual review and re-implementation. |
| Screening Assessments | Mapping required | Assessment results depend on the screening tool Cadient integrates with (AccurateNow, Paycor, or other). We migrate raw assessment scores as custom fields and flag any assessments that require re-scoring in the destination ATS. |
| Offer Letters | Mapping required | Offer letter templates and issued offer records can be exported as documents. However, the offer status (accepted, pending, declined) may be stored as an application sub-status rather than a standalone object. We map these carefully to preserve the full offer lifecycle. |
Gotchas
What to watch for in Cadient migrations
Issues we've hit on past Cadient migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
No documented public export API
SmartTenure predictions are non-transferable
Workflow stage definitions require manual reimplementation
| Severity | Issue |
|---|---|
| High | No documented public export API |
| High | SmartTenure predictions are non-transferable |
| Medium | Workflow stage definitions require manual reimplementation |
Leaving Cadient?
Where Cadient customers move next
5 destinations Cadient can migrate to.
How a Cadient migration works
Four steps, Cadient-specific
Connect
Not publicly documented into Cadient. Scopes limited to read-only on the data we move.
Map
We translate Cadient-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Cadient quirks before production.
Migrate
Full migration with Cadient rate-limit handling. Rollback available throughout.
FAQ
Cadient migration FAQ
Answers to the questions buyers ask most during Cadient migration scoping. Not seeing yours? Book a call.
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Free scoping call with a migration engineer. Tell us about your Cadient setup and destination — written quote back within a business day.