How Kalent Helped a Recruiting Team Run 15,000+ Sourcings: A 2026 Case Study
Most sourcing case studies bury the numbers. This one leads with them.
[The Problem These Teams Were Solving](#the-problem-these-teams-were-solving)
- What the Sourcing Workflow Looks Like on Kalent
- Results Across the Customer Base
- Why Enterprise Teams Use It Too
- What This Looks Like for a TA Manager in 2026
- FAQs
Most sourcing case studies bury the numbers. This one leads with them.
Over 15,000 sourcings have been run on Kalent by teams at companies including Randstad, Vinci, and Generali. Not a projection. Not a cumulative estimate padded over years. Real searches, real profiles matched, real outreach sent — all through a single workflow.
Here's what that looks like in practice, why it matters, and what actually changes when you stop stitching tools together.
The Problem These Teams Were Solving
Before Kalent, the typical mid-size recruiting workflow went something like this: Boolean searches on LinkedIn Recruiter, manual copy-paste into a spreadsheet, enrichment through a separate tool, outreach drafted one message at a time, follow-ups tracked in a CRM nobody fully trusted.
Recruiters were spending 60% or more of their time on work that produced no interviews. The problem wasn't effort — it was the chain of tools and the time lost moving between them.
LinkedIn Recruiter costs thousands per seat per year and returns shallow data. Stack enrichment tools and outreach platforms on top and the cost climbs further, without solving the core issue: too many steps between finding a candidate and getting them on a call.
What the Sourcing Workflow Looks Like on Kalent
Step 1: A Plain-Text Prompt
A recruiter at a fintech company needs a Senior Backend Engineer — Python background, payment infrastructure experience, based in Paris or open to remote. They type that description directly into Kalent. No Boolean syntax. No filter menus. Just plain text.
Kalent's AI Talent Search Engine scans 200M+ profiles across Europe and the US and returns a ranked shortlist in seconds. Each profile includes an AI-generated summary, current role, location, and verified contact details.
Step 2: Enriched Profiles, Ready to Act On
These aren't raw LinkedIn exports. Each profile comes with approximately 80% verified mobile phone and email coverage, and the AI summary gives the recruiter enough context to make a fast call without clicking through to a full profile.
This is where the 15,000+ sourcing figure starts to make sense. When each search takes minutes instead of hours and every profile arrives pre-enriched, a team can run dozens of sourcings per week without adding headcount.
Step 3: Multi-Channel Outreach, Automated
Once the shortlist is built, Kalent's Conversational Outreach Agent takes over — sending messages across LinkedIn, email, SMS, and WhatsApp from one interface. Sequences are structured, personalized, and automated.
This matters because single-channel outreach has low response rates. Most candidates don't reply to a cold LinkedIn message. Some respond to a text. Others to email. Reaching them across channels without manually managing each one is the structural advantage that drives more interviews.
No competitor in this category currently combines AI search, data enrichment, and native multi-channel outreach in one workflow. Juicebox offers NLP search but is limited to email. Gem focuses on CRM and analytics, with sourcing as a secondary function. Kalent is built specifically for the sourcing-to-interview motion.
Results Across the Customer Base
The 15,000+ sourcings span teams of different sizes and industries. Randstad — one of the world's largest staffing firms — uses the platform alongside boutique agencies and in-house TA teams at growth-stage companies.
A few patterns show up consistently across these teams:
Speed. The time from opening a role to having a qualified shortlist drops from days to under an hour. AI search removes the Boolean iteration cycle entirely.
Contact coverage. With roughly 80% of profiles carrying a verified mobile number or email, outreach doesn't stall at the enrichment step. Teams aren't chasing contact data through separate tools.
Response rates. Multi-channel outreach across LinkedIn, email, SMS, and WhatsApp produces more replies than single-channel campaigns. Candidates who ignore a LinkedIn message often respond to a text. The Conversational Outreach Agent handles follow-up logic automatically.
Volume without overhead. Boutique agencies on Kalent can run the sourcing volume of a much larger team. The Copilot plan at $149/month billed annually includes full multi-channel outreach and 2,000 mobile numbers per year — enough capacity for a small agency running several active searches at once.
Why Enterprise Teams Use It Too
Randstad and Generali aren't small operations. They have existing ATS systems, compliance requirements, and multi-user workflows. Kalent's Team plan handles all of this: multi-user access, a dedicated account manager, ATS integration across 50+ systems, and volume discounts.
Sourcing activity syncs directly into the existing recruiting stack. No parallel data trail to manage. The platform fits into enterprise workflows without requiring teams to rebuild them.
For teams already working with Anthropic's Claude, the Claude MCP integration connects Kalent's profile data directly to Claude via the Model Context Protocol — so sourcing queries can run inside AI-native workflows without switching context.
What This Looks Like for a TA Manager in 2026
You have five open roles. Two are urgent. Your LinkedIn Recruiter contract is up for renewal and the cost-per-hire math isn't working anymore.
You open Kalent, type a description of each role, and get a ranked shortlist with verified contact details in under five minutes per search. You add the strongest profiles to a talent pool, trigger a multi-channel sequence, and let the Conversational Outreach Agent handle follow-ups across LinkedIn, email, SMS, and WhatsApp.
By the end of the week, you have qualified responses — not because you worked harder, but because the sourcing-to-outreach cycle no longer has five manual steps in it.
That's the workflow behind the 15,000+ sourcings. Not a feature list. Just what happens when the tools stop fighting each other.
Explore the full platform at kalent.ai and book a demo to see the sourcing workflow in action.
FAQs
What does "15,000+ sourcings" actually mean?
It refers to the total number of candidate searches run by Kalent customers on the platform. Each sourcing is a search triggered by a recruiter prompt, resulting in a matched and enriched candidate shortlist.
Which companies have run sourcings on Kalent?
Named enterprise customers include Randstad, Vinci, and Generali. The platform is also used by boutique recruiting agencies and in-house TA teams at growth-stage tech and fintech companies across France, Western Europe, and the US.
How does Kalent's outreach differ from other sourcing tools?
Most sourcing tools stop at email. Kalent's Conversational Outreach Agent sends messages across LinkedIn, email, SMS, and WhatsApp from a single workflow. No competitor in the category currently combines AI search, data enrichment, and native multi-channel outreach in one platform.
What contact data does Kalent provide with each profile?
Each enriched profile includes approximately 80% verified mobile phone and email coverage, plus an AI-generated summary to speed up shortlisting decisions.
What does Kalent cost for a team running high-volume sourcing?
The Sourcing plan starts at $119/month billed annually and includes unlimited searches and 1,000 mobile numbers per year. The Copilot plan at $149/month billed annually adds full multi-channel outreach and 2,000 mobile numbers per year. The Team plan offers custom pricing with ATS integration and multi-user access.
Does Kalent integrate with existing ATS systems?
Yes. ATS integration is available as an add-on and covers 50+ systems. Enterprise teams on the Team plan get ATS integration included with their contract.
Is Kalent available for European recruiting teams?
Yes. The 200M+ profile database includes strong European coverage, and the platform is available in both English and French — making it one of the few AI sourcing tools that treats European data quality as a core priority, not an afterthought.
