LLM-Governed Autonomy Research Platform
Project Theia explores how machine learning, bounded large-language-model reasoning, and deterministic control logic can operate together inside a single auditable system — using crypto market execution as a real-time stress-test environment.
Project Theia is a self-hosted research platform that combines machine learning, bounded large-language-model reasoning, and deterministic control logic in a single auditable system — using crypto market execution as a real-time stress-test environment, not as a commercial trading product.
Status: Working research prototype (pre-revenue)
• End-to-end architecture implemented and demonstrated on self-hosted infrastructure
• Full source code, operator UI, and worker-based backend included in an acquisition
• Not a plug-and-play SaaS product — acquirer provisions Linux/WSL, PostgreSQL, and API credentials
• No profitability guarantees or performance claims
• Live execution disabled for transfer; any future use is at acquirer’s own risk for research purposes
Our Vision
Theia was created to investigate how AI can support governed, end-to-end decision workflows in complex, real-time environments.
The vision is to demonstrate how future autonomous systems can:
• Ingest heterogeneous data (market structure, sentiment, news, social signals)
• Evaluate changing conditions using ML and bounded LLM reasoning
• Act through deterministic, rule-governed control logic
• Maintain risk discipline, monitoring, and auditability without constant human intervention
Theia represents a step toward AI-native infrastructure — systems designed for continuous learning, structured decision-making, and human oversight — with trading used as a high-stakes reference domain for stress-testing autonomy architectures.
The Innovation
Theia integrates multiple layers of intelligence and automation into a unified self-hosted environment:
• Data ingestion — real-time OHLC, order book metrics, volume, news, and social sentiment
• Machine learning — feature engineering, indicators, training, prediction, and model stewardship
• Bounded LLM reasoning — GPT-style models operate in a schema-enforced advisory role; outputs are validated before any action
• Deterministic execution — finite-state trade lifecycle control (entry, monitoring, triggers, exit)
• Risk governance — circuit breakers, intraday/daily guards, position sizing, withdrawal protection
• Operator interface — React dashboard for trading visibility, ML metrics, risk config, self-audit, and system logs
A constrained LLM module operates inside a deterministic framework that enforces bounded action vocabularies, structured outputs, and full override by rule-based logic. Contextual reasoning is preserved without exposing the system to hallucinated or unsafe direct execution.
The result is a research platform that demonstrates how autonomous systems can be structured, governed, transparent, and explainable to human operators.
System Architecture
[ Data Ingestion ] → [ PostgreSQL ] → [ ML Pipeline ] → [ LLM Advisory ] → [ Deterministic Execution ] → [ Risk & Audit ] → [ Operator UI ]
The LLM never directly executes trades. Language-model outputs are validated and passed to deterministic control logic, which manages state, execution, and risk boundaries.
The Approach
Project Theia is not a product, trading service, signal provider, or consumer platform.
No trading signals, execution access, or decision outputs are offered to the public. No services are provided to retail or third-party users.
It is a private, self-hosted research system built as a proof-of-concept for governed LLM-in-the-loop decision infrastructure, with crypto execution used as a live stress-test domain.
The architecture runs end-to-end on self-hosted infrastructure — from data ingestion through analysis, bounded LLM decision support, deterministic execution, risk supervision, and self-monitoring — within a controlled environment designed for research and evaluation.
The system is intended as a foundation for further development, institutional adaptation, or acquisition by teams exploring AI-enabled autonomous decision platforms.
Technical buyers should expect to complete environment setup and production hardening after acquisition. Install documentation and seller handoff support are included in a transfer.
Acquisition Package
A qualified acquirer may receive:
✓ Full source code (Python workers, React UI, Express API)
✓ Domain and brand assets (projecttheiatrading.com)
✓ System worker architecture (systemd/cron-based automation)
✓ Install guide, architecture overview, and environment template
✓ Seller handoff: architecture walkthrough + 30 days email support for setup questions
Not included: revenue, customers, profitability guarantees, paper-trading simulation (may be added by acquirer), or native Windows installer (Linux/WSL deployment).
Detailed source access and technical walkthroughs are available under NDA after initial qualification.
Operator Interface
Research operator dashboard — trading visibility, ML metrics, risk controls, system logs, and configuration.
FAQs
What is Project Theia?
Theia is a governed LLM-assisted autonomy system that demonstrates how language models, machine learning, and deterministic control logic can be combined inside a structured, rules-governed decision environment. It was built as a research prototype, not as a public or retail product.
Who created Theia?
Theia was independently engineered as a closed research initiative, with all components — data pipelines, modeling logic, orchestration systems, execution framework, monitoring tools, and UI — developed in-house.
Does Theia operate on live markets?
Theia has been demonstrated in a controlled, seller-hosted live-connected research environment as part of system evaluation. This is not presented as a commercial trading service or investment product.
Any execution capability is non-public, disabled for transfer, and not offered as a service. No performance, profitability, or return claims are made. An acquirer may enable execution at their own risk for research purposes only.
What makes Theia unique?
Most trading systems are collections of scripts or single-model strategies. Theia is a multi-module integrated architecture combining real-time data ingestion, ML pipelines, bounded LLM reasoning, deterministic execution control, risk oversight, self-auditing, and a production-style operator UI in one continuous loop.
Its defining characteristic is a governed LLM-in-the-loop design: language models advise within schema constraints; deterministic logic executes and enforces risk boundaries — supporting contextual reasoning without direct LLM execution or unbounded actions.
Is Theia available for public use?
Project Theia is a private research system available only for confidential evaluation, licensing, or acquisition by qualified institutional or strategic partners.
How can I inquire about acquisition or collaboration?
Use the contact section to request a confidential discussion.
What is included if I acquire Project Theia?
Full source code, domain, brand assets, worker architecture definitions, install documentation, and seller handoff support. See the Acquisition Package section above. No MRR, customers, or profitability guarantees.
What technical skills does an acquirer need?
Python, PostgreSQL, and basic DevOps (Linux or WSL2). The system is not aimed at non-technical buyers seeking passive income or a turnkey consumer app.
What are typical operating costs?
When fully running all workers, seller experience is approximately $300–$500/month (primarily OpenAI API usage, optional data APIs, and self-hosted compute). Costs are lower under a minimal evaluation profile.