HRMS migration

Migrate from LiveHire to Crelate

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

LiveHire logo

LiveHire

Source

Crelate

Destination

Crelate logo

Compatibility

71%

10 of 14

objects map 1:1 between LiveHire and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from LiveHire to Crelate is a transition from an enterprise Total Talent Platform to a recruiting-focused ATS built for staffing and agency workflows. LiveHire organizes talent into Talent Pools and supports both permanent and contingent worker lifecycles; Crelate uses a People-and-Jobs model with tagging for segmentation. We resolve the Talent Pool membership list migration (pool names become Crelate Tags), separate contingent and permanent candidate records before import to avoid ID collision, and preserve the full application stage history. The LiveHire-to-Humanforce Talent rebrand requires legal entity and subscription verification before extraction to prevent authentication failures. We do not migrate Workflows, Automations, branded career site content, or Talent Community branding as code; we deliver written inventories for the customer's admin to rebuild.

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

LiveHire logo

LiveHire

What's pushing teams away

  • Pricing is premium-only with no published tier structure, making budget planning difficult and creating sticker shock for SMB teams evaluating the platform against lower-cost ATS alternatives.
  • Organizations report the feature breadth introduces configuration complexity, requiring significant admin overhead and training investment before the platform delivers value.
  • Smaller talent teams with low hiring volume find the platform's enterprise-scale capabilities unnecessary, preferring simpler ATS tools with faster time-to-value.
  • Candidates and recruiters using mobile-heavy workflows report friction with certain mobile optimization gaps, particularly around notification reliability and离线 access.
  • Integration complexity with existing HRIS and payroll systems creates data synchronization challenges that require ongoing IT maintenance beyond initial setup.

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 LiveHire objects map to Crelate

Each row shows how a LiveHire 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.

LiveHire

Candidate

maps to

Crelate

Person

1:1
Fully supported

LiveHire Candidate records map directly to Crelate Person records. The Person record carries contact details (name, email, phone, address), work history, and skills. We preserve the original LiveHire candidate_id in a custom field for reconciliation. Any candidate tied to a contingent worker VMS record is flagged during extraction and processed through the contingent path separately to prevent ID collision.

LiveHire

Talent Community Member

maps to

Crelate

Person (with Tag)

1:1
Fully supported

LiveHire Talent Community members (candidates who expressed interest but are not in an active hiring process) map to Crelate Person records with a Tag applied denoting their community origin. The original community join date migrates as a custom date field. Community members without a current application are imported at lower priority and may be batched separately during the migration window.

LiveHire

Job / Job Posting

maps to

Crelate

Job

1:1
Fully supported

LiveHire Job records (active requisitions with title, description, location, employment type, department, status) map to Crelate Job records. Employment type (permanent or contingent) maps to a custom field or Job type attribute in Crelate. Closed or archived LiveHire jobs may be imported as historical records or excluded based on customer preference during scoping.

LiveHire

Application

maps to

Crelate

Job Submission

1:1
Fully supported

The Application record (the join between Candidate and Job, capturing application date, source channel, and current stage) maps to Crelate Job Submission. Stage progression history migrates as a series of activity or note records attached to the Job Submission, preserving the hiring pipeline audit trail. Stage names require mapping against the destination pipeline configuration.

LiveHire

Talent Pool

maps to

Crelate

Tag + Candidate List

lossy
Fully supported

LiveHire Talent Pools are many-to-many candidate collections with automated membership criteria. Pool membership criteria and auto-repooling rules do not export as structured data. We export the current member list for each named pool, create corresponding Tags in Crelate, and assign the tag to each Person record. The pool names are preserved in the tag label. Automated refresh rules require manual recreation in Crelate as periodic list updates or dynamic candidate searches.

LiveHire

Workflow / Hiring Pipeline

maps to

Crelate

Workflow

lossy
Fully supported

LiveHire configurable stage sequences for different job types require field-level mapping because stage names, required approvals, and automation triggers vary by organization and job category. We document each LiveHire pipeline stage and its corresponding Crelate workflow stage, including any conditional branching logic. Crelate workflows are rebuilt using Crelate's workflow builder; the customer or a Crelate implementation specialist executes the rebuild using our written inventory as the specification.

LiveHire

Note / Feedback

maps to

Crelate

Note

1:1
Fully supported

Recruiter and hiring manager notes attached to candidates and applications migrate as Crelate Notes linked to the corresponding Person or Job Submission. Ratings, interview scores, and internal commentary transfer as note body text. Formatting and attachments within notes may require normalization depending on the source format.

LiveHire

Communication / Message

maps to

Crelate

Activity (Email / Note)

1:1
Fully supported

LiveHire email, SMS, and in-platform messaging history between recruiters and candidates maps to Crelate Activity records. 2-way text message threads (a distinctive LiveHire feature) are preserved as message-type Activities attached to the Person record. Message timestamps and participant information transfer; rich media content within messages may require format normalization.

LiveHire

Offer

maps to

Crelate

Offer

1:1
Fully supported

LiveHire Offer records (proposed compensation, start date, acceptance status, negotiation history) map to Crelate Offer records attached to the relevant Job Submission. Offer history is preserved for compliance and audit purposes. Offer attachments (signed agreements, counter-offers) migrate as linked documents.

LiveHire

Document / Attachment

maps to

Crelate

Document

1:1
Fully supported

Resumes, cover letters, portfolio files, and signed agreements attached to candidate profiles migrate as Crelate Documents linked to the Person record. Binary file migration is handled separately from structured records. We map file associations to candidate records and preserve original file names and MIME types. Large resume attachments may be batched by size tier to manage transfer throughput.

LiveHire

Custom Field (on Candidates, Jobs, Applications)

maps to

Crelate

Custom Field

lossy
Fully supported

LiveHire organization-specific custom fields on standard objects require explicit field-level mapping because schema varies significantly between tenants. We extract the full custom field schema during discovery, map field types to compatible Crelate custom field types, and pre-create the destination custom fields in Crelate before importing any records. Dropdown and multi-select custom fields require value mapping against the destination picklist.

LiveHire

Compliance Record

maps to

Crelate

Custom Record / Document

1:1
Fully supported

LiveHire compliance records (audit trails, approval signatures, background check results, right-to-work documentation) are flagged for explicit handling due to data sensitivity. We separate compliance documents from standard attachments and map them to Crelate Documents with restricted visibility. Background check status fields map to custom fields on the Person record. The customer determines whether compliance records require re-verification post-migration.

LiveHire

Contingent Worker Record

maps to

Crelate

Person (separate import)

1:many
Fully supported

LiveHire contingent worker records follow a distinct data path through VMS integrations and carry external vendor IDs that do not map to standard candidate fields. We extract contingent and permanent records as separate datasets during the migration, apply distinct field mapping logic to each subset, and import them into Crelate in separate phases to prevent ID collision. Supplier references in contingent records map to custom fields rather than standard Crelate fields unless the customer has a VMS integration configured.

LiveHire

Owner / User

maps to

Crelate

User

1:1
Fully supported

LiveHire Users and Owners referenced on candidate, job, and application records map to Crelate Users by email match. We extract every distinct user reference and reconcile against the destination Crelate user list. Any LiveHire Owner without a matching Crelate User goes to a reconciliation queue for the customer's admin to provision before record import resumes.

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.

LiveHire logo

LiveHire gotchas

High

LiveHire-to-Humanforce rebrand creates data continuity risk

Medium

Premium-only pricing hides volume and tier limits

Medium

Talent Pool segmentation logic requires manual reconstruction

Medium

Contingent worker and contractor records have distinct data paths

Low

Branded career site content and Talent Community branding are not portable

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

  • LiveHire-to-Humanforce rebrand risks authentication failures during extraction

    LiveHire completed a rebrand to Humanforce Talent, with the legal entity now Humanforce Talent (formerly LiveHire) Ltd. Account records, subscription terms, and API credentials may reference either name. LiveHire's limited public API documentation compounds this because extraction scripts may fail with opaque authentication errors if the system name in the API request does not match the current legal entity. We verify the customer's current legal entity, subscription status, and API endpoint before migration scoping begins, and we test authentication against a read-only sandbox before pulling production data.

  • Talent Pool automated membership rules have no export equivalent

    LiveHire Talent Pools use automated membership criteria (skills-based, availability-based, or engagement-triggered) that do not export as structured data. We export the current member list and create Tags in Crelate, but the automated refresh rules that repopulate pools in LiveHire must be rebuilt as Crelate workflow rules or manual list maintenance. Customers relying on Talent Pools for proactive sourcing pipelines should plan for a post-migration period of manual pool curation until the rebuild is complete.

  • Contingent worker and permanent candidate records require separate extraction paths

    LiveHire handles permanent and contingent hiring through distinct data paths with contingent records carrying VMS vendor IDs that do not map to standard candidate fields. Merging these records during extraction risks ID collision and corrupted relationships in Crelate. We extract contingent and permanent candidates as separate datasets, apply distinct mapping logic to each subset, and import them in separate phases. The customer's VMS supplier mappings require re-establishment in Crelate if contingent hiring continues.

  • Branded career site content and Talent Community assets are not portable

    LiveHire branded career sites, Talent Community visual customization, logo assets, and color themes are stored as platform assets, not structured data. We can export job posting text and candidate-facing communications, but career site layouts, branding, and community UI customization require manual re-creation in Crelate. We provide a content inventory as part of the migration package listing every job posting body, email template, and candidate communication text for the customer's team to re-enter or re-theme in Crelate's career site builder.

  • Duplicate records and data cleanup carry into the destination if not pre-addressed

    LiveHire instances with multi-year use accumulate duplicate candidate records, outdated contacts, and empty custom fields that can carry into Crelate without pre-migration cleaning. We run a deduplication pass on the extracted LiveHire dataset before loading, identifying duplicate email addresses, similar name combinations, and stale records (no activity in over 24 months). The customer decides the deduplication policy (merge, archive, or skip) before production import. Without this step, Crelate users face immediate data quality friction upon launch.

Migration approach

Six steps for a successful LiveHire to Crelate data migration

  1. Discovery and contract verification

    We audit the source LiveHire instance across record counts (candidates, Talent Community members, jobs, applications, offers), Talent Pool membership lists, custom field schemas, and contingent versus permanent record volumes. We verify the current legal entity name and subscription status against the Humanforce Talent rebrand to ensure API authentication succeeds. We pair this with a review of the customer's Crelate target instance (edition, existing records, workflow configuration) to identify any schema conflicts before extraction begins.

  2. Data extraction and contingent-permanent separation

    We extract LiveHire data using the available export mechanisms (API or supported file formats) and separate the dataset into permanent candidate, contingent worker, Talent Community member, job, and application subsets. Talent Pool membership lists export as separate reference files. We run a deduplication pass identifying duplicate emails and stale records and present the customer with a cleanup policy decision before proceeding. Any legacy data formats (from pre-rebrand LiveHire instances) are normalized to current schema.

  3. Schema design and custom field mapping

    We design the Crelate destination schema including custom fields matched to LiveHire custom field types, Tags created for each named Talent Pool, and a workflow stage mapping document. Contingent worker custom fields (supplier ID, VMS reference) are created as Crelate custom fields scoped to the relevant Person records. Job type (permanent or contingent) is mapped to a Crelate custom field on Job. The schema is validated in a Crelate test environment before production import.

  4. Test migration and reconciliation

    We run a full test migration into a Crelate staging environment using production-like data volume. The customer reviews record counts, spot-checks candidate profiles, verifies job and application linkages, and validates that Talent Pool names appear as Tags. Any mapping corrections (field type mismatches, missing picklist values, workflow stage naming) are documented and resolved before production migration. This stage typically takes one to two weeks depending on feedback cycles.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users and Owners (validated against Crelate user list), Jobs (referenced by applications), Persons (permanent candidates, then contingent workers, then Talent Community members with their Tags), Job Submissions (linked to Person and Job), Offers (linked to Job Submissions), Notes and Activities (linked to Person and Job Submission), Documents (linked to Person and Job Submission), and Compliance records (with restricted visibility). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and rebuild handoff

    We freeze LiveHire writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the Talent Pool rebuild specification (pool names, membership criteria to reproduce as Crelate Tags or dynamic searches), the Workflow inventory document (pipeline stages and recommended Crelate workflow equivalents), and the career site content inventory for the customer's admin to re-create in Crelate. We support a one-week hypercare window where we resolve any data issues raised by the customer's recruiting team.

Platform deep dives

Context on both ends of the pair

LiveHire logo

LiveHire

Source

Strengths

  • Total Talent approach unified permanent and contingent workforce hiring in a single platform without managing separate vendor systems.
  • AI-driven matching and talent pooling delivers proactive sourcing, reducing dependency on reactive job board posting.
  • Branded Talent Communities create candidate ownership and engagement, with documented 95% candidate satisfaction.
  • End-to-end workflow automation from sourcing through onboarding reduces manual handoffs and administrative overhead.
  • Robust analytics and embedded Sisense dashboards provide real-time visibility into pipeline health and recruiter performance.

Weaknesses

  • Premium-only pricing with no published tier structure makes competitive evaluation and budget approval difficult for prospective customers.
  • Feature complexity and configuration depth require substantial admin investment, potentially delaying value realization for smaller teams.
  • Limited public API documentation restricts automation and custom integration possibilities without engaging LiveHire professional services.
  • Mobile optimization gaps reported by users affect offline access and notification reliability for field and contract recruiters.
  • Platform rebranding from LiveHire to Humanforce Talent may indicate ongoing organizational transition, creating uncertainty for long-term product roadmap planning.
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 LiveHire 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

    LiveHire: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your LiveHire 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 LiveHire to Crelate data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 candidate records and 500 active jobs with no contingent worker records and straightforward Talent Pool structures. Migrations with large Talent Pool membership lists, custom field schemas across multiple objects, contingent worker record separation, or existing Crelate data requiring merge reconciliation move to seven to eleven weeks because of the dual extraction path, deduplication scope, and custom field mapping validation.

Adjacent paths

Related migrations to explore

Ready when you are

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