PRIVATE AI ISN'T THEORETICAL. HERE'S WHAT IT LOOKS LIKE.

THE PROBLEM

Green Candle operates under strict federal funding requirements that prohibit the use of public LLM services. Their team needed AI-powered document automation for fundraising and accounting operations — but every commercial AI tool on the market ingests user data into shared training pipelines. For a federally funded nonprofit, that's not a risk worth taking. It's a compliance violation.

WHAT THEY NEEDED

• Absolute assurance of data privacy — no data leaves the org's security boundary
• Right to destroy the LLM instance and all associated data at any time
• SOC-compliant infrastructure that satisfies federal audit requirements

THE SOLUTION

Bright Run deployed a SOC-compliant private AI instance on AWS Bedrock with a dedicated open-weight LLM. All documents — fundraising proposals, accounting records, operational procedures — stay within Green Candle's security boundary. No shared infrastructure. No third-party training. Full deletion rights exercisable at any time.

THE OUTCOME

THE PROBLEM

Cognitive College Training built their competitive moat on proprietary processes and training techniques developed over years of hands-on advising. When the industry started adopting AI tools, they faced a paradox: adopting AI was essential to stay competitive, but every public AI tool risked exposing the very techniques that made them unique. Using ChatGPT meant feeding their playbook to the competition.

WHAT THEY NEEDED

• AI adoption as a tool — not a competitive threat that learns and redistributes their methods
• A private AI persona trained on their uploaded documentation and proprietary frameworks
• Zero data leakage guarantee — no possibility of proprietary methods appearing in competitor outputs

THE SOLUTION

Bright Run's fully private SaaS deployment. Cognitive College uploaded their proprietary training documentation, advising frameworks, and client interaction playbooks. Bright Run generated custom training data and fine-tuned a private LoRA model that speaks in their voice, using their methodology — accessible only to their team. No data leakage. No shared model weights. A private AI persona built exclusively from their expertise.

THE OUTCOME