The Socratic Core Directive

Ever wondered why neural networks remain black boxes despite our best math? At Socratic Core, we're convinced that logic alone isn't enough to build safe systems. We believe AI will only be as safe as its capacity for philosophical doubt.

Our origin story began in New York, where philosophers partnered with machine learning engineers to solve the alignment problem at its root. We don't just tune parameters; we design for ethics.

Futuristic AI research lab in New York with neon accents

Our Research Framework

Multi-disciplinary approaches to synthetic cognition.

The Unifying Theory

Our work centers on the synthesis of Kantian ethics and Bayesian inference. Can a machine experience moral weight without a soul? Our data suggests that deep learning models equipped with critical thinking modules behave more predictably under stress. We're bridge-builders between ancient wisdom and new-age silicon.

We've logged over 42,000 hours of adversarial testing on our latest Socratic kernel.

Safety First

Proactive ethical boundaries.

Clarity

Transparent AI reasoning.

Architects of Thought

Meet the dual-specialists merging silicon with sentiment.

Cleb Hosmillo - Chief Ethics Architect

Cleb Hosmillo

Lead ML Philosopher

PhD in Phenomenology & CS. Cleb leads our logic-mining efforts in New York.

Leanis Badial - AI Safety Lead

Leanis Badial

Knowledge Synthesist

Master of Ethics & Data Science. Leanis ensures our synthesis API remains unbiased.

Ready to define the future?

We're currently hiring for open roles in ethical machine learning.

Join the Lab