Human-centeredMLOps Solutions

We bring modern technology methods to solve healthcare’s most challenging problems: inequity, bias, and unfairness. We believe in AI for good, AI that is fair, and AI for equity.

What isResponsible AI?

Responsible AI is a governance framework that guides Healthcare organizations to address challenges around AI from an ethical and legal perspective.

ROBUST & RELIABLE

High performance, always available AI systems that produce reliable outputs

RESPECTFUL OF PRIVACY

Flexible data model to opt in and out of data sharing

SAFE & SECURE

Protect AI systems from risk that may cause physical and digital harm

FAIR & IMPARTIAL

AI models that include internal and external checks for fair and equitable outcomes

TRANSPARENT & EXPLAINABLE

Advancing explainable AI with algorithms, attributes and correlations that are transparent

RESPONSIBLE & ACCOUNTABLE

Health systems and marketplace accountability for the output of AI system decisions

We pledge 1% of our equity and staff time to diversifying tech and leadership representation

Discoverour Product

Responsible MLOPs tools are a new, human-centered approach built for the challenges of removing bias and unfairness from machine learning models. Our opensource MLOPs Toolkit and MLOPs Developer Studio (coming Autumn 2022) provide a developer-first experience with an end-to-end fairness framework and functionality that can be selectively applied to your workflows for fitting models that reduce the risk of biased outcomes.