The QuantPi platform

The QuantPi platform collects artifacts and calculates metrics within the most important auditing dimensions such as data quality, model performance, fairness, explainability, and robustness

 

This information is translated into project summaries, technical documentation, as well as risk and audit-readiness reports. Seamless integration with modern ML tools allows technical teams to focus on the development process

Assessed (1).png

How does the QuantPi platform work

STEP 1

Screen AI use cases

The customizable AI screening framework is used to:

Establish a centralized view of activities and responsibilities within the lifecycle of your AI solutions

Gain a deep understanding of the regulatory requirements applicable to your AI use cases

 

Identify gaps in the development and testing processes of your AI solutions

STEP 3

Scale the AI transformation in a responsible way

The QuantPi platform analyzes the collected information about your AI use cases to:

Mitigate risk and maintain compliance profiles to match internal policies and external regulations

Recommend appropriate tools and methods to increase the overall performance and reliability of your AI solutions

Facilitate communication with a range of stakeholders to speed up AI adoption

STEP 2

Automate the validation and traceability of AI

The QuantPi platform integrates effortlessly with your AI tools and MLOps practices to:

Capture evidence from your AI development lifecycle for better visibility and auditability

Generate model documentation and visual insights to collect shareable and transferable knowledge

Enforce best practices in model testing and validation

line (2).png
line2 (1).png
Vector (1).png
Vector (1).png
grad8 (1).png

How do various stakeholders eliminate uncertainty

Executives

Master your AI transformation

Track the progress of your ethical and sustainable AI transformation

Ensure AI usage is consistent with corporate principles for accountability, transparency, and safety

Optimize your AI strategy with informed decisions to maximize your ROI

AI product owners

Manage your AI systems successfully

Manage all your AI systems with one centralized dashboard

Track your AI system progress and have a better understanding of their timeline

 

Cut development costs and losses due to AI product failure

Compliance officers

Audit AI systems and comply with regulations

Generate and monitor risk profiles of ongoing AI systems easily

Meet regulations and industry standards requirements

 

Estimate how far you are from getting the certification you want

Data scientists

Build performant ML models without overhead

Understand potential issues and unintended outcomes of the models

Complement your model testing toolbox with our research-backed technology for data quality, eXplainable  AI, and robustness assessment

 

Focus on building AI products without being disrupted by tedious reporting and validation processes

COMPATIBILITY WITH YOUR ML STACK

TensorFlow_logo.png
PyTorch_logo_black.png
XGBoost_logo.png
Scikit_learn_logo_small.png
sagemaker (1).png
azure-ml.png
MLflow-logo-final-white-TM.png
Kubeflow-logo.png