Migrate your Jarvi data
AI-native ATS + CRM for recruiting agencies and independent recruiters, consolidating sourcing, outreach, and candidate management into a single platform with built-in AI at no extra cost.
In its favor
Why people choose Jarvi
The signal that keeps Jarvi on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Customers consistently cite Jarvi's quick onboarding and smooth data migration as a primary reason for choosing the platform, with G2 reviewers specifically mentioning that transition from prior ATSes is effortless and well-supported.
The native multichannel inbox consolidating LinkedIn, email, WhatsApp, and Telegram into a single thread is cited as a key differentiator over competitors like RecruitCRM, reducing context-switching for sourcers and recruiters.
The included AI agent that handles resume parsing, candidate matching, outreach generation, and note-taking without requiring a separate subscription is cited as a significant cost and workflow advantage over platforms that charge extra for AI features.
Responsive customer support with real-time chat and direct access to the Jarvi team is repeatedly praised, particularly by users in small agencies who rely on quick resolution during active searches.
Profile import updates from LinkedIn and other sources run on a scheduled basis (reportedly every 6 months for some imports), leaving candidate data stale between sync cycles and frustrating recruiters who need real-time information.
The Magic Reply AI feature and automated message variables lack polish—reviewers note that capitalization handling and multi-word field parsing in auto-generated messages produce awkward output requiring manual correction.
Some users report the platform still lacks certain advanced features present in larger competitors, and while the roadmap is active, feature gaps in reporting depth and advanced automation frustrate power users.
Reasons to switch
Why people leave Jarvi
The recurring reasons buyers give for replacing Jarvi. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Jarvi 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
Jarvi pricing overview
Jarvi (jarvi.tech, not paavojarvi.com) uses a single all-in-one plan at $158/user/month, or $1,899/user/year for annual billing (~13% savings). Every plan includes the full feature set — ATS, CRM, AI note taker, multi-channel outreach, AI resume builder, AI agent, and resume generator — with no feature unlocks or tiered gating. Volume discounts are available via direct contact for larger recruiting teams. No free tier is published.
Jarvi All-in-One
Tier 1 of 1
$158/user/month (monthly) or $1,899/user/year (annual, ~13% savings)
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Jarvi's schedule — see our quote-based pricing →
What gets migrated
Jarvi object support
Object-by-object support for Jarvi migrations. Per-pair details surface during scoping.
Candidates
Fully supportedCandidates are the primary object in Jarvi's ATS layer. Standard fields (name, email, phone, status, stage) map cleanly to most destination CRMs. The platform's AI agent auto-summarizes and evaluates candidate profiles, and we preserve those AI annotations as custom fields during migration.
Contacts
Fully supportedJarvi's CRM layer manages client and prospect Contacts separately from candidate profiles. Contact records include company association, lifecycle stage, and multichannel communication history. We handle the split between Candidate and Contact objects to avoid deduplication conflicts at the destination.
Jobs
Fully supportedJob postings and requisitions are first-class objects in Jarvi. Each Job links to pipeline stages, associated Candidates, and the posting channels used. We preserve job-to-candidate associations and stage history during migration.
Pipeline Stages
Mapping requiredJarvi allows custom pipeline stage definitions per job or per CRM deal. Stage names, ordering, and win/loss states vary by organization. We extract the stage schema alongside each record and map it to the destination's stage model, flagging any stages that cannot be represented 1:1.
Activities
Fully supportedAll outreach actions (emails sent, LinkedIn messages, calls, meetings) are stored as Activity records linked to a Contact or Candidate. We export the full activity timeline including timestamps, channel, and AI-assisted message content.
Companies
Fully supportedCompany records in Jarvi's CRM store firmographic data (industry, size, revenue tier) and associate with multiple Contacts and Job mandates. We map Companies to the destination's Account or Organization object, preserving link counts.
Custom Fields
Mapping requiredJarvi exposes a UUID-based Custom Fields API for both Candidates and Contacts. Custom field types include text, number, date, and dropdown. We retrieve the field schema before migration and map values, but dropdown option sets may differ between source and destination and require manual value mapping review.
Attachments
Mapping requiredResumes, cover letters, and uploaded documents attach to Candidate profiles. The platform stores file metadata and a reference URL. We export attachments alongside candidate records, but file hosting or access restrictions at the destination may require re-upload or re-hosting steps.
Conversations
Mapping requiredJarvi threads messages across LinkedIn InMail, email, WhatsApp, Telegram, and standard SMS into a unified conversation view per Contact or Candidate. The conversation thread structure and channel attribution are preserved; we map thread segments to the destination's activity or communication log object.
AI Summaries
Mapping requiredJarvi's AI agent generates candidate summaries, profile evaluations, and outreach suggestions that are stored as linked data points on the candidate record. These are exported as custom text fields rather than native objects and must be reviewed at the destination for fit.
| Object | Support | Notes |
|---|---|---|
| Candidates | Fully supported | Candidates are the primary object in Jarvi's ATS layer. Standard fields (name, email, phone, status, stage) map cleanly to most destination CRMs. The platform's AI agent auto-summarizes and evaluates candidate profiles, and we preserve those AI annotations as custom fields during migration. |
| Contacts | Fully supported | Jarvi's CRM layer manages client and prospect Contacts separately from candidate profiles. Contact records include company association, lifecycle stage, and multichannel communication history. We handle the split between Candidate and Contact objects to avoid deduplication conflicts at the destination. |
| Jobs | Fully supported | Job postings and requisitions are first-class objects in Jarvi. Each Job links to pipeline stages, associated Candidates, and the posting channels used. We preserve job-to-candidate associations and stage history during migration. |
| Pipeline Stages | Mapping required | Jarvi allows custom pipeline stage definitions per job or per CRM deal. Stage names, ordering, and win/loss states vary by organization. We extract the stage schema alongside each record and map it to the destination's stage model, flagging any stages that cannot be represented 1:1. |
| Activities | Fully supported | All outreach actions (emails sent, LinkedIn messages, calls, meetings) are stored as Activity records linked to a Contact or Candidate. We export the full activity timeline including timestamps, channel, and AI-assisted message content. |
| Companies | Fully supported | Company records in Jarvi's CRM store firmographic data (industry, size, revenue tier) and associate with multiple Contacts and Job mandates. We map Companies to the destination's Account or Organization object, preserving link counts. |
| Custom Fields | Mapping required | Jarvi exposes a UUID-based Custom Fields API for both Candidates and Contacts. Custom field types include text, number, date, and dropdown. We retrieve the field schema before migration and map values, but dropdown option sets may differ between source and destination and require manual value mapping review. |
| Attachments | Mapping required | Resumes, cover letters, and uploaded documents attach to Candidate profiles. The platform stores file metadata and a reference URL. We export attachments alongside candidate records, but file hosting or access restrictions at the destination may require re-upload or re-hosting steps. |
| Conversations | Mapping required | Jarvi threads messages across LinkedIn InMail, email, WhatsApp, Telegram, and standard SMS into a unified conversation view per Contact or Candidate. The conversation thread structure and channel attribution are preserved; we map thread segments to the destination's activity or communication log object. |
| AI Summaries | Mapping required | Jarvi's AI agent generates candidate summaries, profile evaluations, and outreach suggestions that are stored as linked data points on the candidate record. These are exported as custom text fields rather than native objects and must be reviewed at the destination for fit. |
Gotchas
What to watch for in Jarvi migrations
Issues we've hit on past Jarvi migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Profile import endpoint is unpaginated
AI-generated profile summaries are not native objects
LinkedIn data freshness depends on sync schedule
| Severity | Issue |
|---|---|
| Medium | Profile import endpoint is unpaginated |
| Low | AI-generated profile summaries are not native objects |
| Medium | LinkedIn data freshness depends on sync schedule |
Leaving Jarvi?
Where Jarvi customers move next
5 destinations Jarvi can migrate to.
How a Jarvi migration works
Four steps, Jarvi-specific
Connect
Not publicly documented on jarvi.tech. into Jarvi. Scopes limited to read-only on the data we move.
Map
We translate Jarvi-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Jarvi quirks before production.
Migrate
Full migration with Jarvi rate-limit handling. Rollback available throughout.
FAQ
Jarvi migration FAQ
Answers to the questions buyers ask most during Jarvi migration scoping. Not seeing yours? Book a call.
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Migrate Jarvi.
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Free scoping call with a migration engineer. Tell us about your Jarvi setup and destination — written quote back within a business day.