Recent Developments:
AI - ML - Brain
Research
We are developing foundational technologies for:
• interpretability,
• monitoring,
• evaluation,
• behavioral analysis,
• and advanced model oversight.
Our work combines:
• deep theoretical research, Neuroscience & ML
• empirical model analysis,
• and scalable infrastructure engineering.
The result is a new class neural insights and interpretability tooling designed for the realities of frontier AI.
Systems Architecture & Safety
Alignment
AI Capability Has Accelerated Faster Than AI Understanding
Modern AI systems now influence decisions across science, infrastructure, finance, healthcare, and national security.
But our ability to reliably understand advanced model behavior has not kept pace.
Current interpretability methods were developed for earlier generations of machine learning systems - before the emergence of today’s large-scale foundation models.
We believe the next era of AI requires a fundamentally new approach to model understanding.
We’ve achieved structural insights and are building next level models that provide deep understanding and mechanistic controls.
Cross domain synthesis