White Feather AI

AI for good — do no harm.

Our mission is to apply generative AI and machine learning to public service challenges that are too important to ignore and too small to be profitable for conventional businesses — responsibly bringing advanced technology to search and rescue, emergency response, and the pursuit of justice.

Our Projects

Wilderness Tracking Identification System (WTIS)

A machine learning system for identifying wilderness shoe prints to assist in finding lost and missing persons. WTIS has two operational phases: a data-collection pipeline that builds the training dataset, and a field-identification pipeline that deploys the trained model directly to Search and Rescue operations.

Status: In Development

Frontline Indigenous Languages
Translation for Emergency
Response (FILTER)

Native American communities frequently employ outside agencies when they need additional help responding to emergencies, and in general many of the personnel providing health and emergency services do not speak the local language. We are building AI-powered translation tools so that non-native-speaking responders have language support in place before an emergency occurs — not assembled in the middle of one.

Status: In Early Development

Cold Case Analysis

Applying generative AI to review case files of inactive missing persons and cold case investigations — finding patterns, connections, and overlooked details that can help advance stalled investigations.

Status: Exploratory

Our Services

AI System Design & Development

End-to-end design and development of machine learning systems tailored to your operational needs — from data pipeline to field deployment.

Data Collection & Training Pipelines

Building the infrastructure to collect, label, and process the specialized datasets that public service AI requires.

Research & Feasibility Studies

Not sure if AI can solve your problem? We'll find out — honest assessments of what's possible, practical, and worth pursuing.

Get in Touch

We are looking to connect with partner organizations, potential collaborators, and anyone working in the domains where we are building. If you have knowledge, connections, or interest in this work, we'd like to hear from you.

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