Cloud & AI Engineering

Dependable cloud platforms. Practical AI. Meaningful work.

WhiteFeathers.org engineers AI-powered applications for nonprofits and communities, on cloud platforms run with enterprise discipline: simple, secure, and affordable.

Cloud and AI Engineering dashboard summarizing this page. It also maps the WhiteFeathers AWS foundation behind this site: visitors reach CloudFront and AWS WAF, which serve pages from Amazon S3 and route requests through API Gateway to Python Lambda services that use DynamoDB, Bedrock, Translate, and SNS, with Google sign-in for member participation. The platform is defined in AWS SAM and monitored with CloudWatch and X-Ray. To control cost, idle development resources pause while pages, data, and edge security stay available.

What We Build

  • 🤝 Community apps that connect people with local support.
  • 🧠 Knowledge assistants that answer from approved resources, with a path to a person.
  • 🔁 Workflow automation that takes repetitive work off staff and volunteers.

Cloud Engineering

  • ☁️ AWS & Google Cloud: networking, access, hosting, reliability, and cost control.
  • ⚙️ Kubernetes & Linux: Amazon EKS, Google GKE, patching, and root-cause analysis.
  • 🔁 Automation & monitoring: Terraform, Ansible, Python, Bash, metrics, alerts, and runbooks. Watch this site live on Platform Health.

AI & Machine Learning

AI where it clearly helps, with people in charge.

  • 🎯 Start with the need and the simplest approach that works.
  • 🔍 Test before trust: accuracy, failure cases, and cost.
  • 🔐 Protect people and data with access limits and human review.
  • 🌱 Improve from evidence, not hype.

How We Work

Organizations contract the time of our employee-owned team. We start small, test with the people it serves, monitor after launch, and document everything so you can run it yourself.

Tell us who you serve and what’s in the way. Start a conversation.

Build. Observe. Learn. Improve.