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

Dr. Stefanos Nikolopoulos

Co-Founder | CSO

Anurag Kulkarni

Co-Founder | CTO

Arpita Paul

Co-Founder | Quantum Engineering Lead

Tulasi Arla

Bioinformatics Scientist

Elias Cruz Guerrero

Chief 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 Research Laboratory develops structural intelligence systems for computational biology, quantitative finance, and quantum computing. Our products use symbolic representations, topology-sensitive analysis, entropy measures, and layered verification to help teams compare complex states and make more interpretable, auditable decisions.

How is structural intelligence different from conventional AI?

Conventional AI often emphasizes numerical prediction or pattern recognition. RexCrux adds representations and evidence focused on structural relationships, change, equivalence, uncertainty, and provenance. The products are designed to complement—not replace—prediction models, simulations, compilers, experimental methods, or domain experts.

Are RexCrux products production-ready?

Product maturity varies by capability and integration. RexCrux currently offers research prototypes and scoped validation or pilot engagements. Each engagement should define the input data, execution environment, outputs, limitations, and success criteria before work begins.