AI-powered interview intelligence and assessment platform for enterprise hiring.
What it does
Creates online blended assessments measuring candidates' technical and behavioral skills for specific roles.
Utilizes AI-powered interview guides to instantly transcribe, summarize, and evaluate candidate conversations.
Defines role success criteria through intelligent AI recommendations and a comprehensive skills taxonomy.
Captures key candidate data to generate objective, evidence-based evaluations for fair hiring decisions.
Provides quality of hire analytics to measure hiring outcomes, speed to competence, and ROI.
Why it works
Integrates occupational psychology with AI to reliably validate candidate capabilities across over one million assessments.
Consolidates interviewing and assessment into a single workflow, reducing software bloat for talent acquisition teams.
Automates administrative tasks like transcription and summarization, enabling hiring managers to focus on candidate connection.
Prioritizes skills-based matching to deliver a more equitable and objective evaluation framework than traditional credentialism.
AI-powered interview intelligence and assessment platform for enterprise hiring.
Overview
Spotted Zebra is an enterprise hiring platform that combines skills science with artificial intelligence to validate candidate capabilities consistently. It integrates interview intelligence and blended assessments to automate administrative tasks and capture essential data. By matching candidates to roles based on tailored skills profiles, the platform helps enterprises accelerate recruitment and ensure fair, objective decision-making.
Founded year:2020
Founder:Ian Monk, Nick Shaw
Team size:26-100
Popularity:1,000,000+ assessments completed
HQ:London, United Kingdom
Status:Active
Funding status:Funded
Customer type:B2B
Funding:Raised $11.2M across 3 rounds, including a $9.5M Series A in October 2023.
Pricing:Enterprise
Platform:Web
Integrations:Greenhouse
What it does
Creates online blended assessments measuring candidates' technical and behavioral skills for specific roles.
Utilizes AI-powered interview guides to instantly transcribe, summarize, and evaluate candidate conversations.
Defines role success criteria through intelligent AI recommendations and a comprehensive skills taxonomy.
Captures key candidate data to generate objective, evidence-based evaluations for fair hiring decisions.
Provides quality of hire analytics to measure hiring outcomes, speed to competence, and ROI.
Who it's for
Enterprise Organizations
Talent Acquisition Teams
Hiring Managers
HR Leaders
Why it works
Integrates occupational psychology with AI to reliably validate candidate capabilities across over one million assessments.
Consolidates interviewing and assessment into a single workflow, reducing software bloat for talent acquisition teams.
Automates administrative tasks like transcription and summarization, enabling hiring managers to focus on candidate connection.
Prioritizes skills-based matching to deliver a more equitable and objective evaluation framework than traditional credentialism.
Founder story
Spotted Zebra was founded in London in 2020 by tech entrepreneur Ian Monk and occupational psychologist Nick Shaw. They recognized that enterprises faced widening skills gaps and recruiters were overwhelmed by AI-generated applications. To solve this, they built a platform centered entirely on skills-based hiring, aiming to create more equitable pathways to employment without relying on traditional credentials.
Alternatives
Comparison overview
Spotted Zebra distinctly unites deep occupational psychology frameworks with AI interview evaluation in one centralized system, whereas alternatives like Talview focus more heavily on video screening and proctoring functionalities.