99Ravens
99Ravens is an AI agency that helps senior practitioners codify their tacit knowledge—the unwritten judgment and decision-making patterns behind their expertise—into AI tools they own. The company extends this methodology to enterprises seeking to capture institutional knowledge, and publishes its knowledge-engineering approach as open source. Its core premise is that expertise itself is the algorithm.
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Highly skilled professionals carry years of tacit knowledge—the unwritten judgment, instincts, and decision-making patterns that define their expertise—that is rarely documented or transferred. This knowledge is lost when practitioners leave, and organizations struggle to scale expert-level decision-making into automated or AI-driven processes that retain those core insights.
Solution
99Ravens is an AI agency that works with senior practitioners to codify their tacit knowledge into AI tools those experts own. The company treats expertise itself as the algorithm, reverse-engineering how domain specialists think and translating that reasoning into software. This methodology extends to enterprise clients, helping organizations capture institutional knowledge into decision-support systems. 99Ravens also publishes everything it learns about knowledge codification as open source, building a shared foundation for converting human judgment into AI systems.
Target Audience
Senior practitioners and domain experts who want to monetize or preserve their knowledge through AI tools, plus enterprises seeking to capture institutional expertise into scalable AI systems.
Features
- Structured codification process for converting expert tacit knowledge into AI models and decision tools
- Direct collaboration with senior practitioners to document unwritten reasoning and decision frameworks
- Enterprise engagement model for capturing institutional knowledge across organizations
- Open-source methodology releases that share their knowledge-engineering approach with the broader community
- AI outputs owned by the practitioners and enterprises that contribute their expertise