HRMS

Migrate your cvviz data

AI-first ATS for recruiting teams that want contextual resume screening, 800M+ candidate sourcing, and transparent pricing. Stronger for high-volume hiring than for compliance-heavy workflows.

Encrypted end-to-end with one-click rollback
Talk to a real migration engineer in minutes
cvviz logo

In its favor

Why people choose cvviz

The signal that keeps cvviz on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

AI resume screening that learns from your hiring history to rank candidates contextually, saving hours of manual screening on high-volume requisitions.

Access to 800M+ candidate profiles across LinkedIn, GitHub, and Stack Overflow gives sourcing teams a direct head-start on building talent pipelines.

Transparent, tiered pricing from $99/month with unlimited users means recruiting teams of any size can onboard without per-seat billing surprises.

Integrates as an AI layer on top of existing ATS platforms, allowing teams to add intelligent screening without replacing their current workflow.

7-day free trial with no credit card required lets hiring teams validate fit before committing to annual billing.

Reported bugs and missing items in the product make users feel the platform lacks maturity, with one AppSumo reviewer citing inability to add internal notes as a blocking issue.

No white-label or custom domain option frustrates agencies that want to embed the platform under their own brand for client-facing use.

Lack of robust follow-up automation means recruiters must manually manage candidate communications at each pipeline stage.

LinkedIn and CRM integrations are reported as inconsistent, causing data sync failures that require repeated manual corrections.

Reasons to switch

Why people leave cvviz

The recurring reasons buyers give for replacing cvviz. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where cvviz 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

AI-driven resume screening using NLP and machine learning that adapts from historical hiring decisions over time.800M+ candidate profile database covering LinkedIn, GitHub, and Stack Overflow for active and passive sourcing.Recruitment CRM built in, enabling talent pool management and candidate nurturing separate from active job requisitions.Job posting distribution to LinkedIn, Google for Jobs, and other major job boards handled natively.Pricing includes unlimited users across all tiers, avoiding per-seat cost surprises as hiring teams scale.

Weaknesses

Platform maturity concerns — reviews report bugs and missing features including inability to add internal notes to candidates.No white-label or custom domain option, limiting use for staffing agencies wanting a branded client experience.Integration stability issues with LinkedIn and CRM systems create sync failures requiring manual correction.Pre-built follow-up automation is limited, requiring recruiters to manage candidate communications manually at each stage.

Where it works

High-volume hiring environments where recruiting teams need to screen hundreds or thousands of resumes per requisition without manual keyword-based review.SMBs and startups in India and global markets with small recruiting teams that need AI-assisted screening at transparent sub-$500/month price points.Technology companies sourcing niche roles from LinkedIn, GitHub, and Stack Overflow who want passive candidate pipeline building alongside active applications.Organizations that want to layer AI resume screening onto an existing ATS rather than replace their current recruitment workflow entirely.Companies hiring across multiple roles simultaneously where unlimited-user pricing eliminates per-seat cost concerns as the team grows.

Where it struggles

Staffing agencies and recruiting firms requiring white-label or custom domain capabilities to present a fully branded client-facing experience.Enterprise environments requiring robust compliance documentation, audit trails, and EEOC/OFCCP reporting that the platform does not emphasize.Organizations dependent on stable CRM integrations where inconsistent LinkedIn sync and data failures create data integrity problems requiring manual corrections.Hiring workflows requiring structured follow-up automation at each pipeline stage, which the platform lacks and forces recruiters to manage manually.Companies with regulated hiring processes in banking, healthcare, or government contracting that need documented compliance controls and candidate feedback workflows.

Pricing tiers

cvviz pricing overview

CVViZ uses a per-month flat-rate model with tiered active job limits, ranging from $99/month (Starter, 5 jobs) to $499/month (Pro, 50 jobs). All tiers include unlimited users. An AI resume screening add-on is priced at $25 per job. Annual plans offer up to 15% discount.

Starter

Tier 1 of 5

$99/month

What's included

All ATS Features5 Active JobsUnlimited UsersGreat for companies starting out with hiring

Need help selecting your HRMS?

Book a free 30 minute consultation

Pricing is informational. FlitStack AI does not bill on cvviz's schedule — see our quote-based pricing →

What gets migrated

cvviz object support

Object-by-object support for cvviz migrations. Per-pair details surface during scoping.

Jobs

Fully supported

Jobs is the primary organizational unit in CVViZ, with active job limits per tier (5 to 50). We migrate all Job records including title, description, department, and job board distribution settings. Active job counts reset on the destination platform at migration time.

Candidates

Fully supported

Candidate records include name, contact information, social profiles, and employment history. We map Candidate fields 1:1 to the destination CRM or ATS Contacts object, preserving email addresses and phone numbers as standard properties.

Resumes

Mapping required

Resume files are binary attachments linked to Candidate records. CVViZ parses them into structured fields during ingestion. We preserve the raw PDF/DOCX file alongside parsed fields; destination platforms that lack a resume parser will receive the raw file and require re-parsing.

Applications

Fully supported

Applications link a Candidate to a Job with a current pipeline stage and timestamp. We migrate Application records with their stage history, preserving the candidate journey through each stage.

Pipeline Stages

Mapping required

Pipeline stages are fully customizable per organization in CVViZ. We map stage names and order to the destination ATS pipeline, flagging any stages with no equivalent on the target.

Talent Pool (CRM)

Mapping required

CVViZ's Recruitment CRM maintains a talent pool of passive candidates not tied to a specific job. We migrate Talent Pool entries as Candidates with a 'Passive' lifecycle tag, preserving source attribution and engagement history.

Candidate Scoring / Ranking

Mapping required

AI-generated candidate scores are calculated from CVViZ's proprietary algorithm and stored as a numeric value on the Candidate record. We carry the score as a custom numeric field on the destination; the receiving ATS will not recalculate it.

Pre-Screening Questions

Mapping required

Job-specific pre-screening questions and candidate responses are stored as key-value pairs. We map these to equivalent custom fields on the destination Job or Application record, or flag them as unstructured notes if no equivalent field exists.

Automation Rules

Mapping required

CVViZ allows rule-based automation for email triggers, notifications, and stage transitions. These rules are platform-specific and do not map cleanly to other ATS platforms. We document the rule logic as a plain-text migration report and recommend rebuilding on the destination.

Job Boards

Mapping required

CVViZ distributes job postings to LinkedIn, Google for Jobs, and other job boards. We migrate the job posting configuration as metadata; the posting must be re-published on the destination platform.

Users and Roles

Mapping required

CVViZ supports role-based access control with configurable permissions. We map Users to the destination ATS, preserving name and email, and assign to equivalent roles. Custom role permissions are documented for manual configuration on the target.

Custom Fields / Objects

Mapping required

CVViZ supports custom fields on Jobs and Candidates. We migrate custom field names, data types, and values as structured data. The destination must have identically named or manually mapped fields to accept the data without loss.

Gotchas

What to watch for in cvviz migrations

Issues we've hit on past cvviz migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

Medium

Resume files require binary export handling

Low

Active job limits reset at migration time

Medium

Pipeline stage names are organization-specific

Low

AI candidate scores are proprietary and non-transferable

How a cvviz migration works

Four steps, cvviz-specific

Connect

Not publicly documented into cvviz. Scopes limited to read-only on the data we move.

Map

We translate cvviz-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate cvviz quirks before production.

Migrate

Full migration with cvviz rate-limit handling. Rollback available throughout.

FAQ

cvviz migration FAQ

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

Can't find your answer?

Walk through your cvviz migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most cvviz migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

Ready when you are

Migrate cvviz.
Without the rebuild.

Free scoping call with a migration engineer. Tell us about your cvviz setup and destination — written quote back within a business day.

Free scoping call Quote in 1 business day 1,784 platforms supported