Updated on February 23, 2026
TL;DR: SeekOut finds candidates, Sova evaluates them. SeekOut excels at sourcing passive talent from 800M+ profiles with AI-powered search and diversity filters when you can't find qualified applicants. We solve the opposite challenge: you have 2,000 applicants and need to assess them fairly in 48 hours. Our unified platform measures cognitive ability, personality, and situational judgment while cutting admin time by 90%. SeekOut's recent AI screening additions don't replace scientifically validated psychometric assessments. For Early Careers and contact center hiring, where finding applicants is rarely the problem, you need assessment infrastructure that filters volume without per-candidate cost penalties.
Here's the fundamental distinction: SeekOut is a sourcing engine that fills your candidate pipeline by discovering passive talent across the open web. We provide an assessment platform that filters active applicants using validated psychometric tests, video interviews, and virtual assessment centers. SeekOut tells you who exists. We tell you who will succeed.
Understanding this difference is the key to building a defensible, cost-effective recruitment tech stack.
The core difference: Sourcing candidates vs. assessing potential
Sourcing is the proactive hunt for people who aren't looking for you. Assessment scientifically measures whether the people who found you can actually do the job.
Sourcing (SeekOut's domain):
You need a Senior DevOps Engineer with Kubernetes experience in Manchester. Your job post attracted three applicants, none qualified. SeekOut searches 800M+ public profiles from LinkedIn, GitHub, patents, and publications using AI-powered filters for skills, location, and diversity attributes. It surfaces 47 potential candidates, provides contact details, and helps you craft personalised outreach emails.
Your recruiter sends 47 messages, gets 8 replies, schedules 3 interviews. Problem solved: you found the needle in the haystack.
Assessment (our domain):
Your graduate scheme received 1,850 applications. You need to hire 80. CV screening by university name perpetuates bias and has near-zero predictive validity. Our psychometric assessments measure cognitive ability, personality traits, and situational judgment through validated instruments, then rank all 1,850 candidates by predicted job performance.
Automated workflows invite the top 30%, trigger video interviews, and push scores to your Workday instance without manual data entry. Problem solved: you identified high-potential talent at scale without drowning in spreadsheets.
The confusion happens because both tools claim to improve "quality of hire," but they measure different stages. SeekOut improves quality by expanding your search radius beyond people who clicked "apply." We improve quality by replacing gut-feel screening with evidence-based validation showing meaningful relationships with job performance outcomes.
Think of sourcing as the invitation list and assessment as the audition. You need great names on the list, but the audition determines who gets cast. For most Early Careers and volume hiring scenarios, you already have too many people on the invitation list. The bottleneck is the audition.
Deep dive: When to use SeekOut for talent discovery
SeekOut's talent discovery capabilities, particularly for niche, senior, or diversity-focused roles where active applicants are scarce.
Core sourcing capabilities:
Intelligent search across 800M+ profiles: SeekOut's multi-source profile aggregation uses AI to surface candidates based on skills, experience, location, and career trajectory. The conversational search feature (SeekOut Assist) lets you type "find senior Python developers in Berlin who contributed to open-source ML projects" and returns ranked results.
Diversity and inclusion filters: SeekOut's diversity filters identify underrepresented candidates and a bias reducer hides demographic details during initial screening. For organisations with diversity hiring goals, this targets passive candidates from underrepresented groups who aren't applying through traditional channels.
Automated outreach and engagement: Candidates can be contacted directly from SeekOut with AI-drafted outreach campaigns to increase response rates. For headhunting high-demand specialists, this saves recruiters from manually crafting 50 individual emails.
ATS integration for talent rediscovery: SeekOut's ATS integrations with Workday, Greenhouse, iCIMS, Bullhorn, and Lever allow you to search your existing ATS database alongside external profiles. The Talent Rediscovery feature surfaces "silver medalists" (past candidates who almost got hired) and enriches outdated ATS records with current employment data.
Best use cases:
SeekOut shines for low-volume, high-specificity hiring. Senior engineering roles with five qualified applicants per year. Executive search where you're targeting specific individuals at competitor firms. Diversity sourcing for underrepresented talent pools. Roles requiring rare skill combinations (e.g., "AI researcher with healthcare compliance experience").
The critical limitation:
Once candidates apply or reply to your outreach, SeekOut's primary job is complete. SeekOut's AI screening features include AI-powered resume screening and video interview capabilities, but these are basic filtering tools, not psychometric assessments. The platform doesn't measure cognitive ability, personality traits, or situational judgment with validated instruments.
It tells you who has "Python" on their profile, not whether they can learn new programming languages quickly (cognitive ability), collaborate under pressure (personality), or resolve ambiguous technical problems (situational judgment). For those evaluations, you need dedicated assessment tools.
Deep dive: When to use Sova for candidate selection
We solve the opposite problem: you have too many applicants and need to identify high-potential candidates fairly, efficiently, and defensibly.
Our assessment platform through scientifically validated assessments, video interviews, and virtual assessment centers, all unified in one system.
Core assessment capabilities:
- Unified assessment platform: Manage the entire hiring process to define key milestones and decision points from screening to assessment center. Real-time dashboards optimised for fairness provide automated reporting for candidates and hiring managers. One candidate login covers psychometric tests, video questions, and interactive exercises. No juggling three separate vendor portals.
- Validated psychometric assessments: EFPA Review Model standards guide our assessment design — the European Federation of Psychologists Association framework. Off-the-shelf assessments measure cognitive ability (numerical reasoning, verbal reasoning, abstract reasoning), personality traits (how candidates interact with others and approach work), and situational judgment (how they handle realistic job scenarios). Typical validation studies report correlations ranging from moderate to very strong between assessment scores and job performance.
- Video interviewing with AI consistency: Build video interviews easily and invite unlimited candidates. Evaluate responses, add notes, and use AI scoring for enhanced objectivity and consistency across 200 candidates instead of introducing interviewer bias through 200 separate conversations.
- Virtual assessment centers: Virtual assessment centers with live interactive exercises and interviews replicate the rigour of in-person assessment centers. Track candidate progress and access real-time insights to identify top talent at scale.
- Automated workflows and ATS integration: Our ATS integrations make it easy to send assessment invitations, track candidate progress, view results, and automate progress through hiring stages without leaving your ATS. When a candidate completes an assessment, scores update automatically in your ATS, updating candidate profiles in Workday or Greenhouse and triggering workflow rules without manual data entry.
- Fairness and compliance features: Fairness by design is at the heart of what we do. Our advanced analytics monitor adverse impact across demographics. Adverse impact analysis monitors whether assessments unfairly discriminate between candidates, providing your Legal team with documentation to defend your selection process if challenged.
Proven customer outcomes:
Vodafone's pilot results after consolidating 60 assessments across 4 platforms into our unified system. Administrative time dropped by 90%, and candidate queries decreased significantly because the platform interface was intuitive.
Sky's completion rate results: an 86% assessment completion rate with 90% of candidates finding assessments engaging. Since April 2024, Sky processed 55,975 applications with 29,450 completed assessments, demonstrating the platform scales at volume.
"One of the best providers of psychometric assessment in the market" - Tim T. on G2
Best use cases:
We excel for high-volume hiring where finding candidates is easy but filtering them fairly is hard. Graduate schemes receiving 2,000 applications for 80 places. Contact center hiring needing to assess 500 candidates per month. Retail hiring across 200 locations. Apprenticeship programmes where "potential" matters more than "experience." Any scenario where CV screening perpetuates bias and your Legal team needs defensible selection data.
Side-by-side comparison: Features, workflows, and outcomes
Workflow comparison:
SeekOut workflow: Build search query (skills + location + diversity filters) → Review 47 profile matches → Export 12 high-priority candidates to ATS → Send personalised outreach emails → Track response rates → Schedule interviews with 3 respondents.
Sova workflow: Candidate applies via ATS → Automated Sova invitation triggers (cognitive test + personality questionnaire + situational judgment) → Assessment duration varies by employer and configuration. Sova offers assessments ranging from 5 to 25 minutes off the shelf, with custom implementations that can run longer. Once completed, AI scores and ranks all candidates.
The workflows rarely overlap. SeekOut operates at the top of your funnel (finding people), we operate in the middle (filtering people). You're not choosing between them unless your hiring challenge is purely one or the other.
"The platform is easy to use and user-friendly for Recruiters, Assessors and Candidates. One of the key benefits is being able to set up your assessment processes through one platform rather than multiple tools and vendors." - Verified User on G2
Decision framework: Do you need one, the other, or both?
Your decision depends on where your recruitment bottleneck lives.
Scenario A: The scarcity problem (you need SeekOut)
You're hiring 15 senior data scientists this year. Your job posts attract 3-5 applicants per role, often underqualified. You need to find passive candidates at competitor firms and academic institutions. SeekOut's AI-powered profile search solves your discovery problem.
Assessment can remain interview-based because volume is manageable (15 people, not 1,500). SeekOut's per-seat model works when you have 3-5 recruiters spending significant time sourcing. You're paying for access to profiles and search capability, not assessment infrastructure.
Scenario B: The volume problem (you need Sova)
Your graduate scheme received 1,850 applications for 80 positions. Your contact center hiring runs year-round, assessing 500 candidates monthly. Your retail expansion requires 200 store associates across 15 locations this quarter.
Your bottleneck isn't finding people (they're applying), it's assessing them fairly without burning your entire budget on per-candidate test fees. Our unlimited candidate model removes the volume penalty. You establish a baseline engagement framework and assess all 1,850 candidates without per-candidate fees compounding.
"I really appreciate how Sova's talent assessment platform has helped our organisation to streamline our recruitment process and identify the best candidates for our team." - faraz a. on G2
You don't need SeekOut because candidate discovery is solved (you have 1,850 applicants). You need scientific filtering with automated admin-reducing workflows.
Scenario C: The enterprise with both problems (you need both)
Your organisation hires across the spectrum. Executive search requires sourcing (SeekOut). Graduate programmes require volume assessment (Sova). Your technical hiring team headhunts senior engineers (SeekOut), while your operations team fills 300 contact center roles quarterly (Sova).
Integration workflow:
- SeekOut identifies 8 passive candidates for VP of Engineering role
- Export to Workday
- Workday triggers Sova assessment invitation (executive leadership assessment + personality)
- Candidates complete assessment
- Scores feed back to Workday
- Interview committee reviews combined data (SeekOut intelligence + Sova validation)
Your CFO sees both line items justified: SeekOut solves scarcity at the top of the house (executives, senior ICs), Sova solves volume everywhere else (early careers, volume hiring, internal mobility).
Quick decision test:
- You struggle to find qualified applicants: SeekOut solves your scarcity problem.
- You struggle to fairly assess the flood of applicants you already have: We solve your volume problem.
- You have both problems across different role families: Use both, with clear ownership (SeekOut for sourcing team, Sova for operations team).
- You're trying to cut budget by choosing one: Identify your primary bottleneck first (scarcity vs. volume), then fund that solution adequately instead of underfunding both.
Building a defensible tech stack
The core insight: sourcing is not assessment. SeekOut tells you "these 47 people have the keywords you're looking for on their public profiles." We tell you "these 200 candidates demonstrated cognitive ability in the top quartile, personality traits aligned with your high-performers, and situational judgment scores predicting strong collaboration and problem-solving."
One SeekOut review noted: "The database is populated with public profiles from LinkedIn and GitHub, so candidates haven't opted in themselves. This can create issues around candidate quality, since resumes and contact information may be outdated". That's not a criticism of SeekOut. It's a recognition that profile data and validated assessment data serve different functions.
The real question isn't whether SeekOut or Sova is "better." It's whether your hiring challenge is finding people or filtering them. For most Early Careers and volume teams, the answer is filtering. You don't have a sourcing problem. You have a selection problem disguised as a sourcing problem.
For Early Careers and volume hiring teams drowning in applicants, our unified assessment platform with unlimited candidate pricing to fairly filter hundreds or thousands of candidates. You cut admin burden by 90% while providing your Legal team with adverse impact reports proving defensible selection.
If your challenge is filtering volume fairly and efficiently, book a Sova demo to see how automated assessment workflows reduce your tech stack complexity while improving hiring quality. View Sova plans to compare unified platform costs against your current fragmented vendor spend.
Frequently asked questions
What is the difference between talent intelligence and psychometric assessment?
Talent intelligence platforms aggregate and enrich public candidate data for sourcing. Psychometric assessments measure cognitive ability, personality, and job-relevant skills through validated instruments that show meaningful relationships with job performance.
Can SeekOut replace dedicated assessment platforms like Sova?
SeekOut's AI screening capabilities, but these are filtering tools, not validated psychometric assessments measuring cognitive ability, personality traits, or situational judgment with EFPA-aligned methodology.
Can assessment platforms integrate with sourcing tools like SeekOut?
Our ATS integrations where SeekOut exports candidate data, creating a unified workflow from sourcing through assessment without manual data transfer.
Which platform is better for high-volume hiring?
Sova. Unlimited candidate pricing model and automated workflows that eliminate per-candidate cost escalation.
Key terminology
Sourcing: The proactive identification and outreach to passive candidates not actively applying to open roles, typically using talent intelligence platforms that aggregate public profile data.
Psychometric Assessment: Scientifically validated measurements of cognitive ability, personality traits, and job-relevant competencies that show meaningful relationships with job performance and cultural fit through standardised testing instruments.
Adverse Impact: When a selection process disproportionately screens out candidates from protected groups, requiring organisations to demonstrate assessments are job-relevant and non-discriminatory through documented fairness analysis.
Talent Intelligence: Data-driven insights about candidate populations, skills availability, compensation benchmarks, and diversity demographics used to inform sourcing and workforce planning strategies.


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