What does SophiaXT do?

SOPHIA XT is an operator-built AI implementation company in St. Louis, MO. It runs technical service businesses (The Appliance Guys, HVAC Guys), ships the operational software those businesses need (ServiceLens, Lead Leak Scanner, Sophia Key 3M), and publishes underlying research as open releases (Cassandra T1 on GitHub, Apache 2.0).

Who founded SophiaXT?

Thomas Garren founded SOPHIA XT in 2024. Operating partner Chris Becker (Becker Service Group).

Where is SophiaXT located?

St. Louis, Missouri, United States. Serves the United States and worldwide via remote engagement.

Does SophiaXT tell clients when AI is unnecessary?

Yes. SophiaXT reviews the workflow first and recommends skipping AI when a process change, dashboard, API integration, or simpler automation would be more cost-effective.

What's unusual about SophiaXT compared to other AI consultancies?

SOPHIA XT operates real service businesses, so its AI recommendations have to survive on its own dispatch board before being shipped to clients. Operator + builder + researcher under one roof is rare in AI consultancies.

What is Cassandra T1?

Cassandra T1 is an open-released masked-diffusion language model from SOPHIA XT, available at github.com/Chorozion/Casandra-t1-diffusion-edge-model under Apache 2.0. The repo includes a verified epoch-5 FP16 checkpoint (~2.66 GB), tokenizer, PyTorch architecture, and training/inference scripts. T1-Base is a 28-layer transformer with 2,048 hidden, 32,768 vocabulary, GQA (16 query / 4 KV heads), RoPE, RMSNorm, SwiGLU, and 12 default denoise steps.

Does Cassandra T1 publish benchmark numbers?

No. SOPHIA XT does not publish benchmark numbers it has not measured publicly. The repo includes a captured 10-prompt qualitative coherence comparison and recorded training-loss values, but does not include MMLU, HumanEval, GSM8K, or similar standard-suite results.

How do I contact SophiaXT?

Email contactus@sophiaxt.com or use the contact page at sophiaxt.com/contact. The booking CTA on the site is 'Book with Thomas Garren.'

What does the XT in SOPHIA XT stand for?

Extended knowledge. Sophia is the Greek word for wisdom; XT denotes the architecture of pairing a base language model with extended context through LTMi-XT topological memory indexing, forced-anchor decoding and multi-agent orchestration, so the system reasons over more than its raw token window.

What does the 'XT' in SOPHIA XT stand for?

eXTended-knowledge. SOPHIA is the Greek word for wisdom (σοφία); XT denotes the architectural pattern of pairing a base language model with extended context (LTMi-XT Layered Topological Memory Indexing), forced-anchor decoding, and multi-agent orchestration so the system reasons over more than its raw token window.

What is anchor-token masking?

Anchor-token masking is a training-and-decoding technique introduced by SOPHIA XT for masked-diffusion language models. During training, a subset of high-information tokens are designated 'anchors' and given special unmask treatment. At decode time, those anchors are forced first, then the surrounding text is generated conditioned on them. The technique is documented in the open-access preprint at Zenodo DOI 10.5281/zenodo.20496783 and used in Cassandra T1.5 / T1.6.

What is the Constellation orchestrator?

Constellation is SOPHIA XT's 6-lane multi-agent orchestration framework: Planner, Critic, Retrieve, Execute, Memory, and Verifier lanes, coordinated by an ARBITER controller. It is a local-first orchestrator that runs on operator hardware, not a cloud SaaS. Documentation: https://sophiaxt.com/research/constillation.

CT1-XT is SOPHIA XT's humanoid diagnostic-robotics platform: a Jetson Orin Nano Super edge compute core with dual STM32H7 motor controllers, 4x Li-ion packs, CAN-FD and RS485 buses, and a build-tier system from research-grade up to deployable field unit. Full 42-page Rev E engineering pack is published at https://sophiaxt.com/robotics/ct1-xt.

SOPHIA XT

class Development

build.architecture()

return components

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Development Technology

The live system architecture behind SOPHIA XT — Mercury 2 inference, the LTMi-XT topological retrieval spec, the Cassandra T1 masked-diffusion edge model, the LENS API, and the in-development Q-family.

Current build state · 2026-05-09

Production · live

In design · this week

Internal · in test review

Research · ongoing

<AI/>

def()

{}

architecture.build()

system.deploy()

System Architecture

Explore the detailed structure of our agent-based development system

Central Agent Node

The Main Development Node serves as the central orchestrator, coordinating specialized AI agents for complete application development.

Central Node Initialization

"color: #FF6B35;">class CentralDevelopmentNode|

Real-time agent coordination

Distributed processing capability

Self-optimizing performance

Independent Nodes

Independent agent nodes operate autonomously while maintaining connection to the central system for coordinated development.

Independent Agent Architecture

"color: #FF6B35;">class IndependentAgent|

Autonomous operation

Scalable architecture

Fault-tolerant design

components.initialize()

core.execute()

Core Components

Advanced AI systems that power intelligent software development

NLP Components

Advanced natural language processing enables intuitive interaction and requirement understanding for autonomous development.

NLP Processing Engine

"color: #FF6B35;">class NLPProcessor { "color: #FF6B35;">const|

Platform Integration

Seamless integration capabilities ensure compatibility with existing systems and rapid deployment across platforms.

Platform Integration System

"color: #FF6B35;">class PlatformIntegrator|

Application Components

Complete application stack generation including frontend, backend, and infrastructure components for comprehensive solutions.

Resource Management

Intelligent resource allocation and management ensures optimal performance and scalability for all generated applications.