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.

Discoverour Products

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.

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

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

Register for BETA

Enter your email address to join our waitlist! Your beta subscription allows free access to the Responsible MLOps Studio where you can begin using our fair ML tools and workflow. We'll contact you when it's time to join.