We have built a protocol infrastructure to create the visuality of the complexity of interactions that exist to help understand the why. Our infrastructure foundation is designed for accuracy, privacy, and transparency.
Here are some key terminology to our infrastructure:
Consensus AI
At the heart of Blankstate is Consensus AI—our Self-Supervised Model that learns from the structure and patterns of real business interactions. Unlike systems that need constant retraining or manual input, Consensus AI can:
Understand new, unseen interactions
Evaluate them in context
Measure them against your organizational goals
This means you get accurate, real-time insights without endless model tuning or reconfiguration.
No black-box model
We operate on a glass-box principle. Full transparency at all times. There is no cloud server that stores your data.
Privacy Architecture
We decided to go with Privacy Architecture versus Privacy Policy.
Policy says: "we promise not to look, but we have access."
Architecture says: "we literally cannot look, we have no access."
Your privacy matters. That’s why we built Blankstate around a federated architecture. Sensitive data stays where it belongs—with you—and is not stored centrally by default.
No Assumptions
Unlike large language models (LLMs) that make assumptions or invent information, Blankstate’s core model is deterministic. This means the output is predictable, explainable, and aligned with how your business actually works. You can trust that what you see is grounded in real actions—not generated guesswork.
Explainable & Traceable
Every insight provided by Blankstate can be traced back to its source. Thanks to our self-supervised architecture, nothing is hidden behind a black box. This transparency helps teams understand why something is happening, not just what is happening.