Reason's technology enables creation, expansion, and maintenance of customizable Machine Learning models for businesses - and eventually consumers.
At the heart of Reason is our proprietary ReasonEngine™, a domain-driven, multi-service architecture enables Andrew Reiland's existing track record of successful global scalability, rapid development, continuous deployment, high availability and unmatched supportability across a range of targeted applications.
CEO Andrew Reiland is backed by a career in Fortune 500s and degrees in the studies of Software Engineering and Mathematics.
His proven leadership coupled with his unique technical experience of enterprise scale software CI/CD, ARR growth, MAC & MAU growth, ML/RL development, and leadership brings AI and Software Development to life.
Simply put - Machine Learning audits decisions. Generative Pre-Trained models cannot given the "black box" approach. Sensitive domain support should require a deep, consistent, and representable understanding of context over extended and continued usage.
Our strategy proactively addresses concerns around data privacy and potential liability. By demonstrating how our technology addresses critical security needs within all domains while providing unique AI creation and customization, we aim to capture the innovation and the urgency associated with the growing AI market.
While the accessibility of GPTs might suggest a convenient tool for many domains, there are several critical reasons why relying on GPT in sensitive-domains is ill-advised and landing many in the news.
Our deep understanding of neural networks enables efficient learning, requiring a much smaller and intentional "curriculum of data"
All parts of an ML decision can be audited and produced for data privacy (i.e. Results, inputs, outputs, weights, etc.)
High-performance, high-accuracy, and high-trustability affords pure ML/RL the peace of mind to be left unsupervised in sensitive domains
Be the
Reason for Change
Questions? invest@myreason.ai