Cache AI

About Cache AI

Cache AI provides a scoring platform that utilizes proprietary metrics to deliver unbiased athlete valuations based on performance indicators, social media presence, and brand alignment. This technology enables athletes and sports industry stakeholders to accurately assess market value and optimize brand partnerships, addressing the need for fair evaluations in the Name, Image, and Likeness (NIL) landscape.

```xml <problem> The sports industry lacks a standardized, unbiased method for evaluating athletes' market value, leading to inequities in Name, Image, and Likeness (NIL) deals and brand partnerships. Traditional valuation methods often rely on limited performance metrics and subjective assessments of social media presence, failing to capture the full scope of an athlete's brand strength and potential impact. This makes it difficult for both athletes and brands to make informed decisions about endorsements and collaborations. </problem> <solution> Cache AI offers a scoring platform that uses a proprietary set of metrics to provide unbiased athlete valuations. The platform's CacheScore™ assesses brand strength using performance indicators, academic performance, and social media presence. The Cachestimate™ tool delivers market value insights and evaluates brand alignment, considering factors like fit and brand safety. CacheRec™️ provides tailored suggestions to optimize brand alignment and safety. By considering a comprehensive set of KPIs and mitigating against bias, Cache AI empowers athletes to understand, optimize, and realize their true value, while enabling businesses to make data-driven decisions. </solution> <features> - CacheScore™: A cumulative score assessing brand strength based on on-court/field performance, grades, and social media presence. - Cachestimate™: An evaluation tool providing market value insights and brand alignment analysis. - CacheRec™️: A recommendation engine tailored to user queries for optimizing brand value and ensuring brand safety. - Comprehensive KPI consideration: Incorporates game statistics, social media following, offline presence, and off-court/field activities. - Bias mitigation: Eliminates biased language and phrases to ensure fair valuations. </features> <target_audience> The primary users are student athletes navigating Name, Image, and Likeness (NIL) opportunities, sports industry stakeholders seeking unbiased athlete valuations, and brands looking to make data-driven decisions about athlete partnerships. </target_audience> ```

What does Cache AI do?

Cache AI provides a scoring platform that utilizes proprietary metrics to deliver unbiased athlete valuations based on performance indicators, social media presence, and brand alignment. This technology enables athletes and sports industry stakeholders to accurately assess market value and optimize brand partnerships, addressing the need for fair evaluations in the Name, Image, and Likeness (NIL) landscape.

Where is Cache AI located?

Cache AI is based in East New York, United States.

When was Cache AI founded?

Cache AI was founded in 2023.

Who founded Cache AI?

Cache AI was founded by Kobi Wu.

  • Kobi Wu - Founder
Location
East New York, United States
Founded
2023
Employees
4 employees
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Cache AI

Score: 41/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Cache AI provides a scoring platform that utilizes proprietary metrics to deliver unbiased athlete valuations based on performance indicators, social media presence, and brand alignment. This technology enables athletes and sports industry stakeholders to accurately assess market value and optimize brand partnerships, addressing the need for fair evaluations in the Name, Image, and Likeness (NIL) landscape.

cache-ai.com100+
Founded 2023 – East New York, United States

Funding

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Team (<5)

Kobi Wu

Founder

Company Description

Problem

The sports industry lacks a standardized, unbiased method for evaluating athletes' market value, leading to inequities in Name, Image, and Likeness (NIL) deals and brand partnerships. Traditional valuation methods often rely on limited performance metrics and subjective assessments of social media presence, failing to capture the full scope of an athlete's brand strength and potential impact. This makes it difficult for both athletes and brands to make informed decisions about endorsements and collaborations.

Solution

Cache AI offers a scoring platform that uses a proprietary set of metrics to provide unbiased athlete valuations. The platform's CacheScore™ assesses brand strength using performance indicators, academic performance, and social media presence. The Cachestimate™ tool delivers market value insights and evaluates brand alignment, considering factors like fit and brand safety. CacheRec™️ provides tailored suggestions to optimize brand alignment and safety. By considering a comprehensive set of KPIs and mitigating against bias, Cache AI empowers athletes to understand, optimize, and realize their true value, while enabling businesses to make data-driven decisions.

Features

CacheScore™: A cumulative score assessing brand strength based on on-court/field performance, grades, and social media presence.

Cachestimate™: An evaluation tool providing market value insights and brand alignment analysis.

CacheRec™️: A recommendation engine tailored to user queries for optimizing brand value and ensuring brand safety.

Comprehensive KPI consideration: Incorporates game statistics, social media following, offline presence, and off-court/field activities.

Bias mitigation: Eliminates biased language and phrases to ensure fair valuations.

Target Audience

The primary users are student athletes navigating Name, Image, and Likeness (NIL) opportunities, sports industry stakeholders seeking unbiased athlete valuations, and brands looking to make data-driven decisions about athlete partnerships.