Open Source First
We believe good tools should be available to everyone, not just those that can afford consulting. As we develop frameworks, assessment tools, and implementation guides, we will use open source/open weights as much as possible to save you costs. We will license any of our tools for your internal teams to maintain it, if you find it necessary after we finish our work.
Coming Soon
Scaling Tools for M&A realization
A systematic approach to measuring your enterprise’s harmonization debt as it applies to your curent environment. We provide tools and learning paths for organizational change capacity. We also transfer our ATP (Affeine Three Phase) workflow to you after we complete an assessment.
Enterprise Transmutation Service
An evaluation of your organization’s technology, process and AI stack from your operational data. This will accelerate your employee adoption of AI-Native processes and solutions. Our primary area of focus is data security automation and zero risk AI infrastructure build out.
Scaling for AI
Systematic approach to ensuring that AI builds scalability in your innovation, process, and operations. Our primary area of focus is scale-out infrastructure orchestration to support your AI and HPC demand.
Philosophy
We will sell the tools, or license the code as you see fit for your enteprise. They’re tools that get better with use and continuous evolution. Even if our competitors use our frameworks and do good work, the industry improves.
For Enterprise Use
While we intend our frameworks to be as open source as law permits, implementation in complex enterprise contexts often requires guidance and partnering to reduce risks. Our consulting services can help to apply our experience to your specific context.
Contributing
From time to time, we will release our tools openly - code, AI models, or decision frameworks.
Details on contributing will be published with each release.
Stay Updated
Products will be announced here and via our GitHub organization as they’re released. Please follow us on substack.