Redefining Engineering & Diagnostic Technology through Structural Intelligence

Thought Engineers is an advanced research and engineering group building next-generation diagnostic engines and assistive hardware. We focus on tracking longitudinal structural degradation and pioneering novel visual prosthesis architectures.

Explore Our Work

Our Research Projects

Pioneering algorithmic diagnostics and assistive hardware.

The Thought Engine

A Structure-Sensitive Diagnostic Engine utilizing Information Geometry to track neurodegenerative transitions. The system predicts Alzheimer's disease progression by analyzing longitudinal structural drift, providing early warning signals before massive physical volume loss becomes visible.

ReferenceGuard

ReferenceGuard protects AI and data-driven systems from structural drift, reference contamination, and unstable operating regimes without replacing the underlying model. Deployed via Docker/API in shadow-mode, it provides mathematically bounded trust metrics with sub-millisecond latency.

Request a Pilot

SphericalVision

An innovative optical prosthesis headset designed to assist patients with Macular Degeneration. By employing dual 4K curved LED displays and custom corrective optics, the system curves the projected focal field to match the human retina's spherical profile, projecting sharp images into the healthy peripheral retina to bypass the central scotoma.

MK AQUA Swarm

An Integrated Control System for unmanned vehicles capable of transitioning between underwater and air environments. The system handles extreme density variations using Wave-Aware Transition Management and features an Enhanced Autonomous Defense Framework for fail-closed mission authorization and structural trust.

ReferenceGuard Pilot Program

We are currently selecting partners for the ReferenceGuard v1.0 early access pilot. Validate our contamination-resistant trust layer on your own data streams with zero operational risk.

  • Shadow-Mode Deployment: Forks your existing data stream without touching your production models.
  • Seamless Integration: Provided as a Dockerized FastAPI container or lightweight Python SDK.
  • Measurable Success: Pre-agreed success criteria covering anomaly capture rates, false-alarm reduction, and sub-millisecond latency tracking via Prometheus/Grafana.

Target Environments

We are looking for high-volume data environments with established healthy baselines:

Industrial IoT Predictive Maintenance MLOps Drift Monitoring Telemetry

Open Source Contributions

We believe in giving back to the engineering community.

Sil Compression Engine

sil is a cross-platform, production-grade compression and decompression CLI tool based on The Silence Protocol (V3.0 Base-4 Temporal Channel). It implements a Self-Extracting Topological Archive (FractalZip), translating data into a multi-dimensional Base-4 fractal tree to achieve high compression on repetitive text while maintaining 100% structural integrity. Written in Go with a high-performance Rust port (rsil).

Go Rust Fractal Topology

Founders

Halil Özbil

Co-Founder & Lead Researcher

LinkedIn Profile

Noam Cohen

Co-Founder & Engineering Lead

LinkedIn Profile

Our Global Presence

Thought Engineers operates from dual headquarters, bridging deep mathematical research with elite software engineering.

🇹🇷

Ankara, Turkey

Research & Theory Hub

Led by Halil Özbil, our Turkish office focuses on foundational mathematics, theoretical validation, Information Geometry, and the core development of the CECC and OSTE frameworks.

🇮🇱

Tel Aviv, Israel

Engineering & Commercial Hub

Led by Noam Cohen, our Israeli office translates theoretical models into production-grade SDKs, APIs, and scalable infrastructure, driving our commercial pilots and MLOps integrations.

Contact Us

Get in touch to learn more about our research or discuss potential partnerships.