AI That Finds Who Fits. Not Just Who Matches Keywords.
Xeurix understands your role, builds a market-aware talent profile, and scores every candidate across six signals — delivering a ranked, tiered shortlist before your recruiter clicks search.
20M+
Verified Profiles
15+
Data Networks
6
Scoring Signals
3
Confidence Tiers
Sr. Customer Success Manager
San Francisco · B2B SaaS · 5–7 yrs
Matching Signals · 20M+ profiles
Role Fit
96
Seniority
92
Company
94
Location
100
Industry
91
Contact
88
Ranked Shortlist
Sarah Chen
Sr. CS Manager
Marcus Rodriguez
CS Lead
Amy Johnson
Account Success
Ranked by 6-signal AI scoring · 20M+ profiles searched
Data Network
20 Million Profiles. Zero Guesswork About Where They Come From.
Every customer asks the same question — and rightly so. Xeurix draws from 15+ independent professional data networks covering publicly available professional information. Here is exactly what that means, where the data comes from, and why it is legally sound.
Professional Network Aggregators
Aggregated profile data from major career networks capturing current titles, employment history, skills, and professional connections at scale.
Career Transition Registries
Longitudinal career movement data tracking role changes, tenure patterns, and professional progression — surfacing candidates at the right point in their trajectory.
Company & Employment Records
Public company databases and employment records providing team composition, org signals, and company growth context that informs company-fit scoring.
Verified Contact Databases
Multi-step validated professional contact data — email verification, deliverability scoring, and recency signals — so outreach actually lands.
Public Professional Directories
Open professional listings, practitioner bios, public publications, and industry directories across specialisations and geographies.
Professional Activity Signals
Engagement indicators including profile freshness, content activity, and professional signal recency — helping prioritise candidates most likely to respond.
Legally Compliant. Ethically Sourced.
All talent data is sourced exclusively from publicly available professional information. Xeurix operates in full compliance with GDPR, CCPA, and applicable data protection regulations globally. No access to private communications, protected personal data, or restricted systems. Every data partner maintains active opt-out registries, and professionals can request removal at any time.
The Real Differentiator
“Any recruiter can pull a contact list. Understanding why a candidate belongs in this specific role — that is where Xeurix earns its place.”
The data network gets us in the room. The matching engine makes every decision intelligent.
The Old Way Is Broken
Manual Search Returns Noise. Xeurix Returns the Right Candidate.
See exactly what your recruiters are dealing with today — and what they get with Xeurix. Drag the handle to compare.
Sarah Chen
Sr. CS Manager
Stripe
Email verified
/in/sarah-chen-cs
“6-yr CS track at Stripe maps perfectly to your B2B SaaS scope.”
Marcus Rodriguez
Customer Success Lead
Salesforce
Email verified
/in/marcus-rodriguez-csm
“Enterprise CS background at scale aligns with your CSM expectations.”
Amy Johnson
Account Success Mgr
HubSpot
Email available
/in/amy-johnson-cs
“Strong CS methodology; SMB focus is a slight gap vs enterprise target.”
James Park
CS Director
Zendesk
Email verified
/in/jamespark-cs
“Led CS org at Zendesk through 3× growth — strong operational depth.”
Priya Patel
Sr. Account Manager
Intercom
Email verified
/in/priya-patel-saas
“SaaS-native CS background with proven upsell track record.”
Carlos Mendez
Customer Success Lead
Drift
Email available
/in/carlos-mendez-csm
“Mid-market CS expertise aligns well with your ICP profile.”
All 6 candidates outreach-ready
Jennifer Walsh
Sr. CS Manager
Salesforce
San Francisco, CA
No direct email
Send InMail · 1 credit
Michael Torres
Customer Success Lead
HubSpot
New York, NY
2 mutual connections
Based in NY
Not in target location
David Kim
VP of Customer Success
Series B Co.
San Francisco, CA
No email on file
Send InMail · 1 credit
Rachel Nguyen
Head of CS
Scale-up Inc
Austin, TX
1 mutual connection
Based in TX
Not in target location
Sarah Müller
CS Team Lead
Early Stage Co
San Francisco, CA
3 mutual connections
Seniority mismatch
Team lead, not manager-level
Alex Lawson
Account Success Director
Enterprise SaaS
Chicago, IL
No direct email
Send InMail · 1 credit
… 4,224 more results
Drag the handle to compare manual talent search vs Xeurix AI matching
Title Matching Is Too Rigid
A "Growth Manager" at a B2B SaaS startup and a "Growth Manager" at a consumer app are entirely different hires. Keyword search treats them identically.
Keyword Presence Isn't Proficiency
Listing "Salesforce" or "Python" on a resume means nothing without context. Keyword-matched candidates routinely fail real role expectations.
No Awareness of Market Fit
Keyword engines don't understand whether a candidate's company background, industry trajectory, or seniority maps to your specific environment.
Keyword Search
Xeurix Intelligence
The Matching Engine
How Xeurix Finds the Right Candidate. Not Just a Matching Resume.
Six sequential intelligence layers — from understanding your role to delivering a confidence-tiered shortlist. Every layer adds signal. Nothing is left to chance.
Job Understanding
Xeurix ingests the role title, job description, company profile, seniority, location, and hiring context. The goal is to understand the talent market the role belongs to — not just what the job is called.
Ideal Talent Profile
The engine builds a role-specific talent profile: relevant and adjacent titles, seniority bands, industry context, company types, required skills, and location strategy — all weighted by the role's unique demands.
Instant Search Across 20M+ Profiles
Xeurix runs every search against its own pre-built internal database of 20M+ verified talent profiles — already structured, enriched, and indexed. No live crawling, no wait time. Results come back in seconds.
Multi-Pass Matching
The engine runs matching in passes — starting strict and widening only when needed. Exact role and location first. Adjacent titles in the same market next. Broader geography only when appropriate.
Company Context Matching
Candidates are scored on company stage, product category, and customer type — not just job titles. Niche industry experience is weighted heavily, and cultural fit signals like team pace and go-to-market motion are factored alongside hard skills.
Scoring & Confidence Tiering
Each candidate is scored across six signals — role fit, seniority, location, industry relevance, company context, and contact availability. Results are grouped into Tier A, B, and C so hiring teams move with clarity.
Confidence Tiering
Every Candidate Is Scored. Nothing Left to Guesswork.
Xeurix does not return a list and ask your team to figure it out. Candidates are grouped into confidence tiers so recruiters know exactly where to start — and why every name is there.
Tier A
Strongest Match
Highest-confidence candidates with strong role alignment, relevant company background, matched seniority, and verified contact. This is where your team starts.
- Exact or near-exact role title match
- Company market and industry alignment
- Seniority band confirmed
- Verified outreach contact available
Tier B
Strong Fit
High-quality candidates with slightly broader matching criteria — adjacent titles, comparable company types, or flexible location. Strong pipeline builders.
- Adjacent title with relevant experience
- Similar market or industry context
- Seniority within one band
- Good contact availability
Tier C
Exploratory Match
Broader matches for tight talent pools or specialised roles. Worth reviewing when Tier A and B candidates need supplementing.
- Broader title or skill adjacency
- Transferable industry background
- Location fallback or remote
- Profile may benefit from enrichment
Employer View
This Is What Your Team Actually Sees.
Every surfaced candidate arrives as a structured talent card — scored across six signals, confidence-tiered, AI-explained, and ready for one-click outreach. No guesswork. No spreadsheets.
Sarah Chen
Senior Customer Success Manager
Stripe · San Francisco, CA
94
Match Score
96
Role Fit
92
Seniority
94
Company
100
Location
91
Industry
88
Contact
AI Fit Reasoning
Sarah has 6 years in customer success at Stripe and Segment — both high-growth B2B SaaS companies with enterprise client profiles matching your hiring context. Seniority aligns with the role scope. Location is an exact match. Contact verified.
Work email verified · High deliverability · Profile active within 30 days
Illustrative candidate card. Actual data sourced live from the professional network.
AI Fit Explanation
Not Just a Score. A Reason.
For every enriched candidate, Xeurix generates plain-English reasoning explaining exactly why they surfaced — role alignment, company background, seniority fit, and personalised outreach context. Recruiters arrive at every message already knowing why it matters.
Sample AI Reasoning Output
Role Alignment
Current title and 4-year tenure as a Customer Success Lead at a Series B SaaS company directly maps to this role's requirements and scope.
Company Context
Previous employer operates in the same B2B vertical with comparable ARR range and enterprise customer profile to your organisation.
Outreach Signal
Profile updated within the last 30 days. Work email verified with high deliverability confidence. Open-to-opportunity signal detected.
The Xeurix Hiring Funnel
Talent Discovery Is Step One. Every Step After Depends On It.
AI matching surfaces the right candidates — but it also sets the ceiling for everything downstream. When the first match is precise, every subsequent stage works with people who genuinely belong. When sourcing is off, you don't just lose time at that step — you carry the problem through every stage that follows.
AI Talent Discovery
20M+ profiles scanned. Tier-A candidates ranked by multi-signal fit score — role, seniority, company context, and location.
Personalized Outreach
Multi-step email sequences powered by AI fit reasoning. Each invite tells the candidate exactly why they were chosen — making every outreach feel personal, not broadcast.
ATS Staging
Phone screens, immersive job simulations, and structured interview rounds — all managed through configurable hiring stages as set in your ATS workflow.
The Hire
A confident decision backed by layered signal — because every stage in the funnel was working with a candidate who belonged from the start.
When sourcing is precise
Outreach converts because candidates recognise the fit. Screening moves fast because mismatches are rare. Interviews go deeper because both sides are already aligned. The hire feels inevitable.
When sourcing is broken
You don't just lose time at the sourcing step. The wrong candidates move through every expensive stage — calls, simulations, interview rounds — before the misalignment surfaces. Evaluating the wrong people only adds to the problem.
“Most failed hires don't start at the interview. They start with the wrong person entering the funnel.”
Ready to see it work on your open roles?
Stop searching. Start receiving a ranked, evidence-backed talent pipeline.
Post a role, define your success profile, and watch Xeurix build a Tier-A shortlist — sourced across 20M+ profiles, scored across six signals, and explained in plain English.