About Us
Your Partner for AI Innovation
We formed MachinAnimus with the single objective of doing AI the right way -to ensure the best practices in statistically valid machine learning methodologies are applied to your data at all stages in the process of turning it into meaningful insights and AI-enabled products that increase your enterprise value.
We can help build your AI projects in a way that produces true lasting business value.
Our Leadership Team
product design, QA and consultancy services.
David Ferry
Co-Founder of company
Christina Torres
Co-Founder of company
Amalia Bruno
CTO of company
Robert Cooper
CEO of companyVISION
Our overarching vision at MachinAnimus is to Do AI Right: to solve business problems by formulating them as the right AI/ML problems using the right data, right algorithms, right metrics, right tools and architectures. In enterprise settings, business stakeholders often are far enough away from their data corpora and stochastic thinking needed to pose their problems in the right AI/ML formulation. This leads to mis-mapping business problems into their right AI counterparts, often leading to grave consequences. Therefore, we formed MachinAnimus with a single objective: to deliver the maximum possible enterprise value from the use of responsible and flawless utilization of Generative AI and traditional AI/ML techniques . We are committed to implementing the best practices in statistically valid Generative AI and Machine Learning methodologies throughout all stages of processing your data. By doing so, we strive to generate meaningful insights and develop AI-enabled products that enhance your enterprise’s value while upholding ethical considerations.
We do it right not only in an ethical way but also ensure your AI truly solves the Pain points of your Business.
MISSION
Responsible AI practices shape societal impact and public perception, contributing to informed discussions and positive outcomes. Ultimately, doing AI right is a collective responsibility to align AI with human values, respect rights, and foster a better future. At MachinAnimus Our research helps identify emerging themes of inquiry necessary for developing more robust AI-ML systems. We are hopeful that our work will help strengthen the use of machine-learning AI by enhancing the rates of true positive and true negative judgements from AI systems, and by lowering the probabilities of false positive and false negative judgments.