OUR PROCESS
A Simple, Meritocratic Evaluation Process.
A Simple, Meritocratic Evaluation Process.
A Simple, Meritocratic Evaluation Process.
A Structured Talent Marketplace
Using live performance data under real risk conditions, our marketplace is designed to evaluate quantitative talent, delivering a clearer signal for institutional headhunting where résumés and aptitude fall short.
A Structured Talent Marketplace
Using live performance data under real risk conditions, our marketplace is designed to evaluate quantitative talent, delivering a clearer signal for institutional headhunting where résumés and aptitude fall short.
A Structured Talent Marketplace
Using live performance data under real risk conditions, our marketplace is designed to evaluate quantitative talent, delivering a clearer signal for institutional headhunting where résumés and aptitude fall short.
Clear, Readable Metrics
Review transparent performance and risk metrics that reflect how participants design, test, and iterate under real-world constraints.
Clear, Readable Metrics
Review transparent performance and risk metrics that reflect how participants design, test, and iterate under real-world constraints.
Clear, Readable Metrics
Review transparent performance and risk metrics that reflect how participants design, test, and iterate under real-world constraints.
Aligned Incentives
Participation and partnership structures designed to align incentives between students, universities, and recruiting partners.
Aligned Incentives
Participation and partnership structures designed to align incentives between students, universities, and recruiting partners.
Aligned Incentives
Participation and partnership structures designed to align incentives between students, universities, and recruiting partners.
End-to-End Evaluation
Agori manages design, evaluation, and participant comparison in one unified competition framework, reducing noise and recruiting friction.
End-to-End Evaluation
Agori manages design, evaluation, and participant comparison in one unified competition framework, reducing noise and recruiting friction.
End-to-End Evaluation
Agori manages design, evaluation, and participant comparison in one unified competition framework, reducing noise and recruiting friction.
We commit
as one team.
Company highlights
Agori at a Glance
Agori at a Glance
Agori is a performance-driven marketplace for quantitative talent. We generate structured, comparable data from real decision-making under constraint, producing signal that can be used for recruiting, evaluation, and downstream analysis.
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
100+
Participants evaluated per cohort
1
Standardized evaluation framework
0
Résumé-based screening inputs
100%
Performance-derived signal
Our Values
What We Value
01
Ground Truth
We measure what participants do, not what they claim. All signal is derived from observable decisions and outcomes under constraint.
01
Ground Truth
We measure what participants do, not what they claim. All signal is derived from observable decisions and outcomes under constraint.
01
Ground Truth
We measure what participants do, not what they claim. All signal is derived from observable decisions and outcomes under constraint.
02
Comparability
All evaluation is standardized by design. Talent is assessed on a common framework so performance can be ranked, aggregated, and analyzed without subjectivity.
02
Comparability
All evaluation is standardized by design. Talent is assessed on a common framework so performance can be ranked, aggregated, and analyzed without subjectivity.
02
Comparability
All evaluation is standardized by design. Talent is assessed on a common framework so performance can be ranked, aggregated, and analyzed without subjectivity.
03
Signal Efficiency
The system is built to suppress noise and surface signal quickly. Every layer exists to reduce bias, friction, and time-to-insight.
03
Signal Efficiency
The system is built to suppress noise and surface signal quickly. Every layer exists to reduce bias, friction, and time-to-insight.
03
Signal Efficiency
The system is built to suppress noise and surface signal quickly. Every layer exists to reduce bias, friction, and time-to-insight.
04
Reusability
Data is structured and modular from inception. Outputs are designed to be reused across recruiting, research, and machine analysis without re-interpretation.
04
Reusability
Data is structured and modular from inception. Outputs are designed to be reused across recruiting, research, and machine analysis without re-interpretation.
04
Reusability
Data is structured and modular from inception. Outputs are designed to be reused across recruiting, research, and machine analysis without re-interpretation.
