Mattr AI

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Idea in Artificial Intelligence

Introduction

Measure, visualize, augment data with generative AI


Problem

We're addressing data bias for tech and AI enterprises, enhancing model training with balanced datasets. These issues might present themselves as an AI powered voice-activated assistant that struggles to understand elderly users due to a lack of diverse age data in its training set, or a health monitoring app that isn't optimized for users with visual or mobility impairments. By offering bespoke tools to these firms, we ensure that their AI systems are trained on balanced datasets that encompass the diverse needs of all age groups and abilities. Our initiative not only enhances the fairness and inclusivity of AI applications in these companies but also safeguards the well-being of underserved communities. As we bridge the gaps in vital areas like healthcare, home assistance, and financial services, we hope to foster an environment where GenAI technology is truly for everyone, irrespective of age or physical capability.


Opportunity

We are creating a product to measure and improve dataset diversity, equity, and completeness with Generative AI with the goal of fixing AI bias at scale. We offer data auditing and customized augmentation services to companies that are deploying data-driven algorithms in the field of image generation, healthcare and diagnostic testing, hiring, urban planning and language models.