HRMS migration

Migrate from Vultus Recruit to Crelate

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

Vultus Recruit logo

Vultus Recruit

Source

Crelate

Destination

Crelate logo

Compatibility

83%

10 of 12

objects map 1:1 between Vultus Recruit and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Vultus Recruit to Crelate is an ATS upgrade driven by Crelate's broader feature set, larger market footprint (ranked #22 in ATS by PeerSpot versus Vultus Recruit at #76), and native API infrastructure that enables richer integrations. The migration's primary constraint is Vultus Recruit's lack of a public REST API, which forces all data extraction through CSV exports from the product UI rather than direct API connectors. We scope each object (Openings, Candidates, Accounts, Contacts, Hotlists) from exported CSVs, reconcile field headers to Crelate's native object schema, and resolve the Hotlist-to-Tag transformation that preserves candidate groupings. Custom fields on Vultus Openings, Candidates, Accounts, and Contacts require manual pre-creation in Crelate before we can map data into them. Workflows, automation rules, job board integration settings, and mass mailing configurations do not migrate; we deliver a written inventory of the current pipeline stages, status labels, and stage names for the customer to replicate in Crelate's workflow builder. Crelate's Business plan at $119 per user per month serves as the typical migration destination, with full API access and Advanced Reports included on that tier.

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

Vultus Recruit logo

Vultus Recruit

What's pushing teams away

  • TrustRadius review data shows a 1.0/10 score with very few verified reviews, suggesting the product has low market traction and may struggle with long-term development and support reliability.
  • Teams with complex onboarding or compliance requirements find Vultus Recruit lacks the depth of enterprise ATS platforms like Greenhouse or Lever, prompting migration to tools with stronger workflow automation.
  • Limited third-party integration ecosystem means teams using broader HR stacks (HRIS, payroll, background check services) eventually consolidate onto platforms like BambooHR, Rippling, or Zoho People that offer tighter ecosystem connectivity.
  • A few G2 reviewers note that features available in competing systems at similar price points (advanced analytics, candidate assessment tools) are missing or immature in Vultus Recruit, creating churn for growth-stage teams.

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 Vultus Recruit objects map to Crelate

Each row shows how a Vultus Recruit 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.

Vultus Recruit

Opening

maps to

Crelate

Job

1:1
Fully supported

Vultus Openings map directly to Crelate Jobs. We extract title, description, status (open/closed/draft), department, location, and creation date from the Opening CSV export. Vultus pipeline stage names stored as custom Opening properties migrate to Crelate as custom Job fields since Crelate handles pipeline stages at the job level. Job board posting status from Vultus does not carry over; the customer re-posts openings through Crelate's native Indeed, Dice, CareerBuilder, and Monster integrations post-migration.

Vultus Recruit

Candidate

maps to

Crelate

Person (Candidate)

1:1
Fully supported

Vultus Candidate records map to Crelate Person records. Standard fields (name, email, phone, resume text as a text field, source channel, current status, owner assignment) migrate as structured fields. Vultus's candidate source field maps to Crelate's source tracking field. Candidate scoring or rating from Vultus migrates as a custom numeric field if the customer has that feature active.

Vultus Recruit

Hotlist

maps to

Crelate

Tag

1:many
Fully supported

Vultus Hotlists are grouped candidate collections that do not have a direct Crelate object equivalent. We export the hotlist name and the candidate IDs within it, then recreate the groupings in Crelate as Tag records applied to the corresponding Person records. A candidate that appears in multiple Vultus hotlists receives multiple Crelate Tags. We document the full hotlist-to-tag mapping during scoping so the customer can validate the transformation before production migration.

Vultus Recruit

Account

maps to

Crelate

Organization (Client)

1:1
Fully supported

Vultus Accounts (representing client companies) map directly to Crelate Organization records. We extract company name, address, industry, and contact count from the Account export. Custom Account properties migrate via field mapping to equivalent Organization custom fields after the customer creates them in Crelate.

Vultus Recruit

Contact

maps to

Crelate

Person (Client Contact)

1:1
Fully supported

Vultus Contacts within Accounts store recruiter and client contact details. Name, email, phone, role, and the linked Account reference (mapped to the Crelate Organization) migrate as structured Person records. The role or title field maps from Vultus to Crelate's contact role field. If a Contact has no linked Account in Vultus, we create an Organization record for it during migration to satisfy the lookup relationship in Crelate.

Vultus Recruit

Custom Field (Opening)

maps to

Crelate

Custom Field (Job)

1:1
Fully supported

Vultus supports custom fields on Openings that vary per customer configuration. We discover these field names during scoping, then require the customer to create matching custom fields in Crelate before we can map data into them. This is a manual pre-migration step. We provide a field-mapping spreadsheet listing each discovered Vultus custom Opening field, its data type, and the recommended Crelate Job custom field type for the customer's admin to create.

Vultus Recruit

Custom Field (Candidate)

maps to

Crelate

Custom Field (Person)

1:1
Fully supported

Vultus Candidate custom fields are discovered at scoping and mapped to Crelate Person custom fields after the customer manually creates them in Crelate. Candidate-specific custom fields (for example, skills certifications, clearance levels, or source details not captured in the standard source field) are the most common migration dependency. We flag any multi-select or checkbox custom fields as Crelate multi-select picklists during mapping design.

Vultus Recruit

Custom Field (Account)

maps to

Crelate

Custom Field (Organization)

1:1
Fully supported

Vultus Account custom fields map to Crelate Organization custom fields. These typically include client-specific properties such as billing terms, staffing volume flags, or industry specializations. The customer must create these fields in Crelate before migration runs; we cannot insert data into non-existent custom fields.

Vultus Recruit

Custom Field (Contact)

maps to

Crelate

Custom Field (Person)

1:1
Fully supported

Vultus Contact custom fields map to Crelate Person custom fields for client contacts. These cover recruiter-specific metadata such as preferred contact method, relationship notes, or billing rate types. As with all custom field objects, pre-creation in Crelate by the customer or their admin is required before data migration begins.

Vultus Recruit

User / Owner

maps to

Crelate

User

1:1
Fully supported

Vultus Users and Owners are assigned to Candidates and Openings. We extract user IDs and display names from record exports but cannot migrate user permissions, role configurations, or login credentials. The customer provisions matching Crelate User accounts before migration begins; we resolve Owner assignments by matching the Vultus owner name or email to the provisioned Crelate User record at migration time. Any Vultus Owner without a matching Crelate User goes to a reconciliation queue.

Vultus Recruit

Pipeline Stage (Opening)

maps to

Crelate

Pipeline Stage (Job)

lossy
Fully supported

Vultus pipeline stage definitions are tied to the Opening object and vary per customer. We extract the current stage labels (for example, Screening, Interview, Offer, Placed) during scoping and document them in a stage-mapping reference sheet. The customer replicates these stages in Crelate's pipeline builder before migration. We then map the Vultus stage values from each Opening record to the matching Crelate pipeline stage during data import.

Vultus Recruit

Resume File (Attachment)

maps to

Crelate

Resume (File)

1:1
Fully supported

Candidate resume files attached to Vultus Candidate records are stored as file references and cannot be downloaded programmatically through any documented Vultus endpoint. We preserve resume text where the platform surfaces it in a structured Candidate field (for example, parsed resume content). We cannot guarantee binary file migration. Customers should expect to request resume re-uploads from candidates or to use a resume parsing service post-migration to rebuild file attachments in Crelate's Resume Toolbox.

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.

Vultus Recruit logo

Vultus Recruit gotchas

High

No public API for bulk data export

High

Resume files are not exportable as binaries

Medium

Custom fields must be manually recreated in destination before migration

Medium

Workflow and automation rules do not export

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

  • Vultus Recruit has no public API for direct connector export

    Vultus Recruit does not publish a public REST API. All data extraction depends on CSV exports generated from the product UI, specifically through Settings > Reports. We cannot write a programmatic connector to pull data on a schedule or in response to API calls. This constrains the migration to a one-time or at-most two-time export window unless the customer manually re-exports updated CSVs. We ask customers to confirm export completeness before migration runs, reviewing each CSV for expected row counts and field headers. Any data not present in the exported CSV (including data accessible only through individual record views) is not migrated.

  • Resume files cannot migrate as binary attachments

    Vultus stores candidate resume files as file references attached to Candidate records, but the platform does not expose a download endpoint for these files. We extract resume text where it is available as a structured field in the candidate record, but we cannot guarantee binary file migration. Customers migrating to Crelate should plan for resume re-upload by candidates or use Crelate's Resume Toolbox and a third-party resume parsing service post-migration to rebuild the file attachment layer. This is a known limitation of the source platform's export architecture.

  • Custom fields must be manually created in Crelate before migration

    Vultus supports custom fields on Openings, Candidates, Accounts, and Contacts, but these are non-standard and vary per customer implementation. We discover all custom field names, types, and values during scoping and include them in a field-mapping spreadsheet. The customer or their Crelate admin must create matching custom fields in Crelate before we can map any data into them. This is a pre-migration step that adds time to the project schedule and requires coordination. We cannot insert into non-existent custom fields, and any field not pre-created results in that data being held in a reconciliation file rather than loaded.

  • Hotlists transform to Tags but require mapping validation

    Vultus Hotlists are grouped candidate collections unique to that platform. Crelate has no direct Hotlist object; candidate groupings are handled via Tags applied to Person records. We export each Hotlist name and the candidate IDs within it, then apply Tags to the migrated Person records. Customers with a large number of hotlists (for example, more than 50 distinct groupings) or hotlists with overlapping candidate membership should validate the tag mapping during the staging review phase. Some hotlists may represent pipeline stages rather than groupings, which we flag as a configuration recommendation during scoping.

  • Workflows, automations, and email triggers do not export

    Stage transition rules, email trigger automations, and status-based workflow configurations in Vultus Recruit are stored as platform settings and are not exposed in any exportable format. These cannot be migrated programmatically. We document the current pipeline stage labels, status values, and workflow logic observed during scoping in a written inventory that the customer's Crelate admin uses to rebuild pipeline stages in Crelate's workflow builder. Mass mailing campaign configurations and email sequence data similarly do not migrate; candidate contact information moves but campaign history does not.

Migration approach

Six steps for a successful Vultus Recruit to Crelate data migration

  1. Discovery and export scoping

    We audit the Vultus Recruit account across all active modules: Openings, Candidates, Accounts, Contacts, Hotlists, and any custom fields present on each object. We guide the customer through generating CSV exports from Settings > Reports for each object type and reviewing the exports for completeness (expected row counts, expected column headers). We specifically ask the customer to confirm whether resume text is stored in a structured field or only as file attachments, and to flag any data accessible only through individual record views that may not appear in bulk exports.

  2. Custom field discovery and Crelate field creation

    We parse every column header from each exported CSV to identify standard and non-standard fields. Custom fields are flagged and listed in a field-mapping spreadsheet with recommended Crelate field types. The customer or their Crelate admin creates these custom fields in Crelate before we begin data mapping. We provide instructions for each custom field creation (field name, data type, picklist values if applicable). This step cannot be bypassed; migration cannot proceed with data loading into custom fields that do not yet exist in the destination.

  3. Hotlist-to-Tag mapping design

    We extract all Vultus Hotlists and the candidate IDs within each. We map each Hotlist to a Crelate Tag, preserving the hotlist name as the tag name. For candidates appearing in multiple hotlists, we apply multiple tags. We review the hotlist structure with the customer during scoping to identify any hotlists that represent pipeline stages rather than true groupings, which we recommend recreating as Crelate pipeline stages instead of tags. The customer validates the hotlist-to-tag mapping spreadsheet before production migration.

  4. Staging migration and reconciliation

    We run a full migration into a Crelate staging environment using the exported CSV data. We resolve all lookup relationships (Contact to Account, Candidate to Owner User, Opening to pipeline stage) and apply the hotlist-to-tag transformation. The customer reconciles record counts (Candidates in, Openings in, Accounts in, Contacts in, Tags applied), spot-checks 25-50 random records against the Vultus source data, and validates that tags are applied correctly. Any mapping corrections, missing fields, or tag discrepancies are resolved at this stage before production migration begins.

  5. Production migration in record-dependency order

    We run production migration in dependency order: Crelate Users (validated against provisioned accounts), Organizations (from Vultus Accounts), Persons as client Contacts (linked to Organization), Persons as Candidates (linked to User as Owner), Tags (applied to migrated Candidate Persons), and Job records (from Vultus Openings with pipeline stage mapping applied). Each phase emits a row-count reconciliation report before the next phase begins. Any records rejected during import (for example, due to missing required fields or validation rules) are held in a correction file and reprocessed after the customer resolves the root cause.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze Vultus Recruit writes during cutover and run a final delta export of any records modified during the migration window, applying them to Crelate. We deliver the pipeline stage inventory document and the automation rebuild guide to the customer's Crelate admin. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's recruiting team. We do not rebuild Vultus workflows as Crelate workflows inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Vultus Recruit logo

Vultus Recruit

Source

Strengths

  • Per-user pricing with no feature gating across tiers means small teams pay only for access seats, not capability, based on vendor pricing page.
  • All-in-one ATS + lightweight CRM in a single subscription reduces tool sprawl for staffing agencies managing both candidates and client accounts.
  • Resume parsing and harvesting are included on every plan, eliminating a common add-on cost found in competitors like Breezy HR and Workable.
  • Boolean search is available on all tiers, giving small recruiting teams advanced sourcing capability without a paid upgrade.
  • Career portal integration and social media posting are built-in, reducing the need for external job distribution tools.

Weaknesses

  • No public REST API is documented anywhere in the vendor's help center or developer documentation, making programmatic data export and migration highly manual.
  • Review volume is extremely low (43 reviews on Capterra, 1 on TrustRadius), making it difficult to validate product stability or long-term roadmap confidence before committing.
  • TrustRadius score of 1.0/10 signals significant dissatisfaction among the small reviewer base, particularly on features and overall value compared to expectations.
  • The platform lacks native onboarding or HRIS features — teams outgrow it once hiring moves beyond ATS into employee management, requiring a second tool.
  • No free version is available, only a 14-day trial, which raises the evaluation commitment for budget-conscious small teams.
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 Vultus Recruit 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

    Vultus Recruit: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Vultus Recruit 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 Vultus Recruit to Crelate data migrations

Answers to the questions buyers ask most during Vultus Recruit 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 10,000 Candidates and 2,000 Openings with no complex custom field dependencies. Migrations with a large number of custom fields (more than 30 across objects), a high hotlist volume (500+ groupings), or an Account-to-Organization hierarchy requiring disambiguation move to seven to ten weeks because of the manual field creation coordination, hotlist mapping scope, and staging reconciliation work.

Adjacent paths

Related migrations to explore

Ready when you are

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