HRMS migration

Migrate from X0PA AI to Crelate

Field-level mapping, validation, and rollback between X0PA AI and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.

X0PA AI logo

X0PA AI

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between X0PA AI and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from X0PA AI to Crelate is a CSV-first migration because X0PA AI does not publish a developer-facing API with authentication, rate limits, or bulk export endpoints. All data extraction depends on manually or support-assisted CSV generation, which we coordinate with the customer's X0PA team before scoping begins. We map Jobs to Crelate Job records, Candidates to Person records, Assessments to Activities with score fields preserved where available, Interviews to Activities with interviewer and scheduling data, Offers to Offer records, and RPO client structures to Company records with a custom tag. X0PA's proprietary AI scoring model generates per-candidate per-requisition ranks that are computed by X0PA's gradient boosting engine and cannot be reconstructed in any destination platform. We flag every AI-score field during import scoping and label it as read-only reference data. X0PA Room interview recordings and transcriptions are stored in X0PA's own infrastructure with no documented export mechanism; customers requiring archived recordings must request them from X0PA support before migration cutover. Workflows, automations, and RPO-specific routing rules do not migrate as code; we deliver a written inventory of these for the customer's admin to rebuild in Crelate.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

X0PA AI logo

X0PA AI

What's pushing teams away

  • Customers report that implementation and onboarding require significant internal resources, with some citing a steep learning curve that delays time-to-value.
  • Enterprise pricing requires custom sales negotiations with no public per-seat rate for higher tiers, making cost predictability difficult for mid-market buyers.
  • Integration complexity with existing HRIS and ATS systems is cited as a friction point, particularly when X0PA AI is evaluated alongside platforms with broader native connector libraries.
  • Some users describe the platform's AI-driven screening as a black box, making it difficult to explain candidate ranking rationale to hiring managers who expect transparency.
  • Smaller organizations with simpler hiring needs find the enterprise feature set and pricing structure disproportionate to their requirements.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How X0PA AI objects map to Crelate

Each row shows how a X0PA AI object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

X0PA AI

Job/Requisition

maps to

Crelate

Job

1:1
Fully supported

X0PA AI job records map to Crelate Job. We extract Job Title, Description, Location, Department, Employment Type, and open/closed status from X0PA CSV exports. Workflow stage configuration per job is extracted separately and mapped to Crelate JobCategory values, which requires customer validation of stage names and ordering. The job's assigned Recruiter (Owner) resolves by email match to a Crelate Person record.

X0PA AI

Candidate

maps to

Crelate

Person

1:1
Fully supported

X0PA Candidate records map to Crelate Person. All standard contact fields (name, email, phone, address, LinkedIn URL) migrate directly. AI-generated scores per candidate per requisition are flagged as read-only text fields with a 'reference-only' label prefix because they cannot be reconstructed in Crelate. Masked or prospective candidate mode is preserved via a custom flag field.

X0PA AI

Assessment (including Persona™)

maps to

Crelate

Activity

1:1
Fully supported

X0PA Assessment records including the Persona™ behavioral module map to Crelate Activity records of type Assessment. Assessment scores, completion status, and assessment type are extracted from CSV and written to Activity custom fields. AI-generated Persona™ scores are labeled as reference-only in Crelate. Multiple assessment stages per candidate map as separate Activity records linked to the parent Person.

X0PA AI

Interview

maps to

Crelate

Activity

1:1
Fully supported

X0PA Interview records map to Crelate Activity with type Interview. Scheduled datetime, interviewer assignment, interview type, and automated scheduling status transfer to Activity fields. Recording status is preserved as a text field noting whether X0PA Room recording was enabled. X0PA Room media files (recordings, transcriptions) are not accessible via documented export endpoint and are excluded from migration scope.

X0PA AI

Offer

maps to

Crelate

Offer

1:1
Fully supported

X0PA Offer records map to Crelate Offer with status, compensation details, start date, and candidate association preserved. Offer history and versioned changes are captured as sequential Offer records in Crelate with the original offer date and status transition timestamps preserved. Offer amount, currency, and start date map to Crelate's standard Offer fields.

X0PA AI

User/Hiring Manager

maps to

Crelate

Person

1:1
Fully supported

X0PA user accounts including role assignments (Recruiter, Hiring Manager, Admin, RPO Client) map to Crelate Person records with a role flag. Active/inactive status migrates. Email address is the dedupe key. Any X0PA user without a matching email in Crelate is placed in a reconciliation queue for the customer to provision before record import.

X0PA AI

RPO Client Record

maps to

Crelate

Company

many:1
Fully supported

X0PA RPO tier multi-client data maps to Crelate Company records with a custom RPO Client tag applied to distinguish them from standard company records. Client name, billing contact, and contract status transfer to Company fields. Invoice and contract management data is not supported for migration and is documented as reference-only for the customer's admin to re-enter in Crelate's financial tracking tools.

X0PA AI

Pipeline/Workflow Stages

maps to

Crelate

JobCategory

lossy
Mapping required

X0PA custom workflows per job or per client generate stage names and ordering that map to Crelate JobCategory values. We extract the full stage list from CSV exports and present it to the customer for confirmation of stage names, order, and any stage-specific routing rules. Automated conditional logic is documented in the migration scoping form and is not automatable in Crelate without post-import workflow configuration.

X0PA AI

Internal Talent Pool

maps to

Crelate

Tag / List

lossy
Mapping required

X0PA internal talent pool membership maps to Crelate Tags and List membership. Pool name becomes a Crelate Tag or List name; candidate membership is written as Tag assignments or List records linked to the Person. The 250M+ external sourcing database is not exportable and is not in migration scope. Candidates retargeted from the internal pool in X0PA are represented by their tag membership in Crelate.

X0PA AI

Job Board Integration Source

maps to

Crelate

Activity

1:1
Fully supported

X0PA job board and sourcing integrations that generated candidates are captured as Activity records in Crelate indicating the source channel. Source attribution from X0PA's job board posting history migrates as text fields on the related Job record.

X0PA AI

Custom Fields (Job, Candidate, Offer)

maps to

Crelate

Custom Fields

lossy
Mapping required

Any X0PA custom fields beyond the standard schema are identified during CSV review and created as custom fields in Crelate before import. Field type mapping follows Crelate's supported field types (text, number, date, dropdown, checkbox, etc.). Multi-select custom fields from X0PA map to Crelate multi-select or tag-based fields depending on cardinality.

X0PA AI

Application/Submission History

maps to

Crelate

Activity (Application type)

1:1
Fully supported

X0PA application submissions per candidate per job map to Crelate Activity records with type Application. Submission date, source channel, and application status transfer. Stage progression history within X0PA's pipeline maps to sequential Activity records representing each stage transition.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

X0PA AI logo

X0PA AI gotchas

High

No documented public API with published auth or bulk export

High

AI scoring data is platform-locked and non-portable

High

X0PA Room interview recordings are infrastructure-bound

Medium

Enterprise pricing is opaque and requires sales negotiation

Medium

Custom RPO workflows require manual mapping to destination pipeline schema

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • No documented public API forces CSV-only extraction

    X0PA AI does not publish a developer-facing API reference with authentication method, rate limits, or bulk export endpoints. The platform features page references 'API Integrations' without technical documentation. We rely on CSV export as the primary data extraction path. Any migration requires the customer to generate and provide export files manually or request X0PA support to run exports on their behalf. This dependency adds timeline risk because X0PA's guided migration process is designed for onboarding, not bulk data extraction, and export file generation may require separate X0PA engagement. We scope the export process in the first week of discovery.

  • AI scoring data is platform-locked and cannot transfer

    X0PA AI's core value proposition is its proprietary gradient boosting model that generates per-candidate per-requisition scores for CV relevance, predictive performance, and predictive loyalty. These scores are computed by X0PA's algorithm against a 450M+ data point training set and are not reproducible outside the platform. We flag every AI-score field during import scoping with a 'reference-only' label so the customer understands it is informational text in Crelate, not a live ranking signal. Organizations that rely on X0PA's scoring as their primary candidate ranking mechanism must rebuild that logic using Crelate's activity-based pipeline and manual scoring fields.

  • X0PA Room interview recordings have no export path

    X0PA Room provides interview recording, analysis, and transcription stored in X0PA's own infrastructure. No public endpoint or export mechanism is evidenced in the CSV research or X0PA's documented capabilities. We do not attempt to migrate interview recordings or transcriptions as no file-based export is supported. Customers requiring archived interview data must request it directly from X0PA support before migration cutover and host the files externally (SharePoint, Google Drive, or a dedicated file server) as Crelate does not store media files natively. Interview scheduling data, interviewer assignments, and interview type migrate as Activity records without the media content.

  • RPO client data requires structural remapping to Crelate's Company model

    X0PA RPO tier supports custom workflows per client with client-specific routing rules, invoice management, and contract tracking. These RPO client records do not map 1:1 to any Crelate standard object. We map RPO clients to Crelate Company records with a custom RPO Client tag, but invoice data, contract terms, and white-label configuration are not migratable and require re-entry in Crelate's financial tools. The customer must confirm during scoping which X0PA RPO fields are business-critical versus informational.

  • Custom pipeline stages and routing logic require manual reconstruction

    X0PA supports per-job and per-client workflow stages with conditional routing rules that do not have a documented export format. We extract stage names and ordering from CSV and reconstruct them as Crelate JobCategory values, but automated routing logic, conditional branching, and stage-entry triggers are documented in the migration scoping form and are not transferable as configuration. The customer's admin rebuilds these in Crelate's workflow builder post-import. We provide a written mapping of every X0PA stage to its Crelate equivalent with any conditional logic preserved as text for reference.

Migration approach

Six steps for a successful X0PA AI to Crelate data migration

  1. CSV export coordination and discovery

    We work with the customer to generate X0PA AI CSV exports for Jobs, Candidates, Assessments, Interviews, Offers, and Users. Since X0PA does not publish a self-service bulk export feature, we guide the customer through X0PA's documented data migration process or coordinate a support-assisted export request. We simultaneously audit the X0PA platform for RPO client structures, custom pipeline stages, internal talent pool lists, and any custom fields in use. This phase produces the migration scope document including record counts per object, field inventory, and explicit flagging of AI-score columns and X0PA Room recording status.

  2. Schema mapping and staging environment setup

    We map every X0PA export column to a Crelate field (standard or custom). AI-score columns are mapped to text fields with a 'reference-only' prefix label. RPO client records are mapped to Company with an RPO tag. Custom pipeline stages are mapped to JobCategory values. We create all custom fields in Crelate's staging environment before any data loads. We present the complete field mapping document to the customer for sign-off, including a list of fields that will migrate as read-only reference data and a list of fields that have no destination equivalent and will be documented for manual re-entry.

  3. Test migration and reconciliation

    We run a full test migration into Crelate's staging environment using representative data volume. The customer reconciles record counts (Candidates in, Jobs in, Activities in, Offers in), spot-checks 25-50 records against the X0PA source for field accuracy, confirms that AI-score labels are correctly prefixed, and validates that RPO client tags and talent pool Tags are applied correctly. Interview records are verified to have the correct interviewer assignments and scheduling data without media content. The customer approves the test results before production migration begins.

  4. Production migration in dependency order

    We run production migration in record-dependency order: Person records first (Users, then Candidates), then Job records, then Activity records (Assessments, Interviews, Applications), then Offer records, then Tags and Lists for talent pool membership, then Company records for RPO clients with the RPO tag applied. Each phase emits a row-count reconciliation report. During cutover, X0PA writes are frozen and a final delta migration captures any records modified during the window. X0PA Room recordings are explicitly excluded with a note to the customer requesting they coordinate direct retrieval from X0PA support before cutover.

  5. Cutover, validation, and handoff documentation

    We complete the production migration and validate final record counts against the scope document. We deliver a written migration inventory that lists every object migrated, the record count, and the disposition of non-transferable data (AI scores as reference-only text, X0PA Room recordings as excluded with support request guidance). We deliver a separate Workflow and Routing Logic Inventory documenting every X0PA pipeline stage, conditional routing rule, and RPO client workflow structure that requires manual rebuild in Crelate's workflow tools. We do not rebuild these as Crelate workflows inside the migration scope.

Platform deep dives

Context on both ends of the pair

X0PA AI logo

X0PA AI

Source

Strengths

  • End-to-end recruitment automation from sourcing through offer, reducing manual recruiter work by a documented 70%.
  • AI Verify-endorsed bias reduction framework with gradient boosting model validated against 450M+ data points.
  • Multi-product suite covering ATS, RPO, academia, and enterprise in a single platform family.
  • AI-powered candidate matching across a 250M+ external profile database with internal talent pool retargeting.
  • RPO-specific features including multi-client dashboard, invoice management, and white-label options.

Weaknesses

  • No publicly documented API with published authentication methods, rate limits, or bulk export endpoints.
  • Enterprise pricing requires sales consultation with no transparent per-seat rates published above the Lite tier.
  • Steep onboarding and implementation requirements that are disproportionate for smaller teams.
  • Proprietary AI scoring models generate data that cannot be reconstructed or ported to non-X0PA systems.
  • Limited third-party integration connector library compared to established ATS platforms like Greenhouse or iCIMS.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across X0PA AI and Crelate.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    X0PA AI: Not publicly documented.

  • Data volume sensitivity

    B

    X0PA AI doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your X0PA AI to Crelate migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about X0PA AI to Crelate data migrations

Answers to the questions buyers ask most during X0PA AI to Crelate migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for organizations with under 10,000 Candidates, 500 Jobs, and no RPO multi-client structure. Migrations with large assessment histories, custom RPO client data, or manual CSV generation requirements requiring X0PA support coordination move to eight to twelve weeks. The CSV export coordination step in the first week is the primary timeline variable because X0PA does not publish a self-service bulk export tool.

Adjacent paths

Related migrations to explore

Ready when you are

Move from X0PA AI.
Land in Crelate, intact.

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