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Jarvi

Jarvi is an applicant tracking system (ATS) and customer relationship management (CRM) platform designed specifically for staffing agencies and recruiters, centralizing talent management and automating communication workflows. By reducing operational costs by an average of 50% and minimizing manual tasks, Jarvi enhances recruitment efficiency and allows users to focus on building relationships and placing talent.

Rennes, FranceFounded 2023333K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Staffing agencies and independent recruiters often struggle with managing large talent pools, tracking candidate interactions, and automating repetitive tasks, leading to inefficiencies and increased operational costs. Managing multiple tools for applicant tracking and customer relationship management can be cumbersome and time-consuming.

Solution

Jarvi is an all-in-one applicant tracking system (ATS) and customer relationship management (CRM) platform designed to streamline recruitment processes for staffing agencies and independent recruiters. The platform centralizes talent data, automates workflows, and tracks pipeline progress, reducing the mental load associated with managing numerous candidates and interactions. By automating tasks such as copy-pasting and reporting, Jarvi increases efficiency and allows recruiters to focus on building relationships and placing talent.

Target Audience

Jarvi is designed for staffing agencies and independent recruiters seeking to streamline their recruitment processes, reduce operational costs, and improve efficiency.

Features

  • Centralized ATS and CRM functionality for managing talents, conversations, opportunities, and clients.
  • Automated workflows for streamlining business processes.
  • Pipeline tracking to monitor progress and suggest next steps.
  • History tracking of messages across all channels.
  • Automated reporting to reduce manual tasks.
  • Talent pool management for organizing and accessing candidate data.
  • Data enrichment to enhance candidate profiles.
This profile is AI-generated and may contain inaccuracies.