Self-AI provides a Talent OS platform that unifies behavioral science, cognitive ability, and technical skill assessments into a single AI‑driven 360° profile. By applying the AREAS model—30 behavioral dimensions validated by over 6,500 scientific studies—and real‑world problem simulations used by companies such as Meta and Netflix, the system accelerates hiring, reduces early turnover, and generates actionable development plans within weeks.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often lack a unified method to evaluate candidates’ behavioral traits, cognitive ability, and job‑specific technical skills, resulting in prolonged hiring cycles, mismatched hires, and early employee turnover.
Solution
Self‑AI’s Talent OS platform combines behavioral science (AREAS model with 30 validated dimensions), general‑intelligence testing (factor g), and technical skill simulations (coding challenges, business case scenarios, CEFR language assessments) into a single predictive algorithm. The system automatically generates AI‑driven reports that rank candidates, highlight strengths and risk factors, and recommend personalized development plans, enabling organizations to close critical vacancies within 30 days while reducing early attrition. All data are processed in a unified “360° profile” and presented through executive, commercial, and competency dashboards that can be integrated into existing HR workflows. Real‑time agents continuously feed performance metrics into a central decision core, supporting ongoing talent management from selection through development. The platform is deployed in under a week and is already used by global enterprises such as Meta and Netflix.
Target Audience
Primary customers are talent acquisition, HR, and learning‑development leaders in mid‑size to large enterprises that require data‑driven hiring and continuous skill‑gap management, particularly in technology‑intensive or high‑growth sectors.
Features
- Integrated multi‑method assessment covering behavioral (30 AREAS dimensions), cognitive (general‑intelligence reasoning), and technical (CodeSignal, business cases, CEFR language) components
- Single predictive algorithm that produces actionable AI‑generated reports for hiring, development, and employee experience
- Automated KPI tracking and real‑time data agents (Guardian, BI, etc.) that update talent insights from day 1
- Executive, commercial, and competency dashboards with customizable visualizations and risk alerts
- Rapid deployment workflow (initial setup < 1 week, pilot for 1‑2 critical roles) with dedicated implementation support
- API/BI integration layer for seamless connection to existing HRIS, ATS, and learning management systems