Building Structural AI Systems for Trauma Recovery
Our Mission
More Than an App: A Structural Approach to Healing
Elyzia is building systems to restore self-coherence and reintegration after trauma. We begin with veterans, but our models are designed for broader human recovery.
This animation illustrates a journey from fragmentation to wholeness. Beginning with a scattered self nested within a larger emotional field, the fragmented pieces gently merge and cohere, eventually forming a singular, stable presence. The field remains constant, but the inner shape finds resolution. It's a metaphor for healing, reintegration, and return to psychological equilibrium.
What is the Self-Field?
The self isn't just a fixed point, it's a field, a living system where your past, present, and future connect. When something too painful, too sudden, or too overwhelming happens, this field can become disrupted.
What Happens in Trauma?
Trauma overloads the system. Parts of the self may break off, numb out, or go silent as a survival response. This protective split is what leads to fragmentation, a disconnection between parts of the self.
What is Reintegration?
Healing isn't about forcing broken pieces back together. It's about allowing them to return at their own pace. Reintegration means your memory can flow without shutting you down, and you can respond to the present rather than react from old wounds.
HOW IT WORKS
Structured AI for Human Repair
1. Cognitive Mapping
We analyze how trauma shapes thoughts, emotions, and identity through neuroscience-informed modeling.
2. Behavioral Pattern Detection
Our AI detects shifts in attention, coping strategies, and decision behavior to flag early disruptions
3. Personalized Support Systems
Users receive dynamic guidance via mobile — from stress-regulation tools to real-time intervention pathways
4. A Learning System That Evolves With You
Our engine adapts over time, refining support based on your data and changes in resilience
System Architecture
Next.js Frontend
User Interface & Experience
Google ML
ML Infrastructure
AI Processing
NLU & Analysis
Python & SQL
Data Processing & Storage
Technology Stack Details
- Next.js - React-based frontend framework for responsive user experience
- Google ML - Cloud-based machine learning infrastructure for scalable AI processing
- AI Processing - Natural language understanding and behavioral pattern analysis
- Python & SQL - Backend data processing, analysis, and secure storage systems
Be the first to experience AI-powered mental health support
Meet the Team Behind Elyzia
Real Experience. Real Systems.
Anthony Kim
Anthony is a USAF veteran and Applied Mathematics student at Columbia University, specializing in computational mathematics and data-driven modeling. At Elyzia, he brings firsthand knowledge of veteran trauma and reintegration to develop mathematical and AI-based systems that represent behavioral disruption and recovery patterns. In addition to contributing to Elyzia's modeling strategy, Anthony serves as CFO, managing the company's financial, administrative, and operational systems.
Siddharth Maharishi
Siddharth is a Neuroscience and Behavior student at Columbia University and the CEO of Elyzia. His work centers on developing an ontological framework for representing trauma and self-fragmentation, grounded in behavioral neuroscience and analytic logic. At Elyzia, he focuses on modeling the dynamics between individuals and their surrounding fields to advance AI-driven tools for understanding trauma and improving reintegration outcomes, particularly for veterans.
Shivam Sharma
Shivam is the CTO of Elyzia, a U.S. Army veteran and Columbia University graduate in Information Science. He brings experience from AWS and Palantir. At Elyzia, Shivam leads the full-stack engineering efforts, designing technical architecture, and building core machine learning algorithms. He ensures that Elyzia's trauma-informed AI models are integrated into secure and accessible software systems, making advanced mental health tools deployment-ready for real world impact.
The Vision
From Insight to Reintegration
We're not building chatbots or mental health apps. We're building systems that know what it means to lose structure, and how to restore it. Our long-term vision is a living AI platform that helps humans rebuild from the inside out.
We take ethics seriously. No personal data is used without consent. Early model training uses notional (synthetic) data to protect privacy.
Our Collaborations
