Designing Structured Intelligence

We are building systems that move beyond traditional AI — grounded in symbolic structures, invariant reasoning, and composable intelligence. Our work focuses on creating interpretable, modular frameworks that operate across domains, from research to real-world applications.

DEVELOPER PLATFORM

RexCrux enables developers to integrate symbolic reasoning into modern pipelines using a robust SDK, DSL, and tooling for hybrid symbolic–numerical computation.

Developer Platform

RexCrux provides an SDK and API suite for building symbolic-first applications and hybrid symbolic–numerical systems.

What You Get

Python SDK, symbolic DSL, Jupyter and Colab support, visualization tools, and reference models.

Use Cases

Integrate symbolic layers into machine learning pipelines, build interpretable scientific models, and create hybrid symbolic–numerical systems.

Documentation

Getting Started, API Reference, Tutorials, and Example Projects.

MEET THE TEAM

The minds shaping structured intelligence — combining research, systems thinking, and real-world execution, we combine skills and experience that drive innovation.

Marcos Guerrero

Founder | CEO

Stefanos Nikolopoulos

Co-Founder | CSO

Anurag Kulkarni

Co-Founder | CTO

Arpita Paul

Co-Founder | COO

Tulasi Arla

Bioinformatics Scientist

Elias Cruz Guerrero

Information Officer

CAREERS

Join us in building next-generation intelligence systems. We are always looking for curious minds and builders.

No openings at the moment

We’re not hiring right now, but we’re always excited to connect with talented individuals. Feel free to reach out or check back soon for future opportunities.

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FAQs

What is RexCrux?

RexCrux™ is a symbolic-AI and hybrid quantum computing platform designed to understand causality and model, simulate, and control mutation-driven processes across biology, physics, and markets. At its core, RexCrux treats mutation as a universal substrate—whether in protein folding, genetic evolution, material phase transitions, or financial systems—and encodes these mutations symbolically using braid theory, entropy dynamics, and quantum-algebraic models.

Why RexCrux?

RexCrux combines numerical optimization with symbolic understanding to deliver invariance, interpretability, verification, auditability, entropy awareness, structural guarantees, and scalable cross-model comparability.

Why RexCrux Works?

Invariance and Interpretability, Verification and Auditability, Entropy awareness and Structural guarantees, Scalability and Cross-model comparability, RexCrux is built for problems where numerical accuracy alone is not enough. When systems become high-dimensional, unstable, or regime-dependent, RexCrux provides a symbolic control layer that preserves meaning, enables verification, and supports confident decision-making.