Intelligible

About Intelligible

The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.

<problem> Enterprises face challenges in governing AI systems, including ensuring compliance with evolving regulations, managing risks associated with model bias and security, and maintaining transparency and explainability. These challenges hinder the confident and accountable deployment of AI. </problem> <solution> The platform centralizes AI governance, offering automated model testing and continuous compliance monitoring. It streamlines AI assurance collaboration, enhances efficiency, and provides clear risk visibility through rigorous model testing for safety and quality. The platform enables organizations to efficiently manage model risks and workflows with centralized governance, ensuring fair, robust, and secure models through automated assessments. By enhancing model explainability and providing algorithmic recourse, it builds trust in AI systems. </solution> <features> - Automated model testing for fairness, robustness, and security - Risk management tools for efficient workflow management and centralized governance - Regulatory compliance monitoring and evidence collection - Explainability and algorithmic recourse features for clear model insights - Model registry for comprehensive model oversight - Interactive debugging tools for identifying and resolving model issues - Customizable platform to fit specific organizational needs </features> <target_audience> The platform is designed for enterprises across various industries that are developing, deploying, and managing AI systems and need to ensure compliance, manage risks, and maintain transparency. </target_audience>

What does Intelligible do?

The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.

Where is Intelligible located?

Intelligible is based in Singapore, Singapore.

When was Intelligible founded?

Intelligible was founded in 2024.

How much funding has Intelligible raised?

Intelligible has raised 125000.

Location
Singapore, Singapore
Founded
2024
Funding
125000
Employees
2 employees

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Intelligible

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Executive Summary

The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.

intelligibleco.com100+
cb
Crunchbase
Founded 2024Singapore, Singapore

Funding

$

Estimated Funding

$100K+

Team (<5)

No team information available.

Company Description

Problem

Enterprises face challenges in governing AI systems, including ensuring compliance with evolving regulations, managing risks associated with model bias and security, and maintaining transparency and explainability. These challenges hinder the confident and accountable deployment of AI.

Solution

The platform centralizes AI governance, offering automated model testing and continuous compliance monitoring. It streamlines AI assurance collaboration, enhances efficiency, and provides clear risk visibility through rigorous model testing for safety and quality. The platform enables organizations to efficiently manage model risks and workflows with centralized governance, ensuring fair, robust, and secure models through automated assessments. By enhancing model explainability and providing algorithmic recourse, it builds trust in AI systems.

Features

Automated model testing for fairness, robustness, and security

Risk management tools for efficient workflow management and centralized governance

Regulatory compliance monitoring and evidence collection

Explainability and algorithmic recourse features for clear model insights

Model registry for comprehensive model oversight

Interactive debugging tools for identifying and resolving model issues

Customizable platform to fit specific organizational needs

Target Audience

The platform is designed for enterprises across various industries that are developing, deploying, and managing AI systems and need to ensure compliance, manage risks, and maintain transparency.

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