Pardon our dust! We're updating some things around here. We'll be all back to normal shortly.

What we're working on now

Operational Note:

Due to the sensitive nature of our federal and commercial R&D engagements, selected case studies have been sanitized. Specific client identities, proprietary architectures, and technical parameters may be redacted or generalized to protect intellectual property and adhere to non-disclosure agreements.

Section 1: Strategic Infrastructure

Project: The Autonomous Learning Health System

Scope: Enterprise-Wide Digital & Physical Transformation (36-Month Roadmap).

The "Moonshot": Architecting a "Zero Preventable Harm" environment by default.

The Work:

Designing a "secure by default" Zero Trust Network Architecture.

Implementing Keating, a proprietary secure LLM for staff mentorship and friction analysis.

Deploying TAVI (Ambient Intelligence) sensors to detect physiological distress signals in real-time without invasive monitoring.

Status: Framework & Architecture Phase

Project: NexusPath (Sovereign Interoperability Gateway)

Scope: Next-generation Digital Public Infrastructure (DPI) designed to solve the "Last Mile" crisis in Government-to-Person (G2P) payments.

Core Architecture: The Bauta Engine. A stateless, ephemeral processing layer that utilizes "Chamberized" isolation to ensure zero data-at-rest (Zero Trust).

Hardware Integration: Molecular Breath-Printing. Proprietary Volatile Organic Compound (VOC) sensors for unhackable, touch-free liveness detection and authentication.

Project: Constellation (Federated GovTech Discovery)

Scope: An intelligent, cross-agency discovery platform to eliminate redundant software procurement in the public sector.

The Technology: Adaptive Classification Engine. An AI-driven taxonomy system that automatically scans, tags, and indexes technical assets (diagrams, code, compliance docs) for inter-agency reuse.

Impact: Creates a "Plug-and-Play" Interoperability Hub, allowing governments to assemble digital services from pre-validated components.

Section 2: Applied Physics & Material Science (Fathom Lab)

Project: Non-Contact Biological Sorting (Poultry)

The Challenge: High-throughput sexing of embryos without breaking the sterile barrier.

The Solution: Dielectric Profiling. Utilizing capacitive sensing and Maxwell’s Equations to read metabolic signals through the shell.

Status: TRL 3

Project: Bio-Polymer Fractionation

The Challenge: Turning acidic pyrolysis bio-oil into automotive-grade plastics.

The Solution: A modular refining platform that separates phenolic precursors for use in brake pads and EV insulation.

Status: TRL 5 (Pilot Validation).

Project: Sentinel Mobility Protocol (SMP)

The Challenge: Precise localization in GPS-denied environments without compromising user privacy.

The Solution: Barometric Sensor Fusion. A privacy-first edge inference protocol that utilizes atmospheric pressure gradients for vertical positioning.

Status: Prototype / Sensor Integration.

Project: Capture Tab & Scrub Sump System

The Challenge: Managing toxic outflow from industrial scrubbers.

The Solution: Reverse Logistics Loop. A hardware-based filtration and capture system that converts scrubber waste into verifiable green credits.

Status: Industrial Design Phase.

Project: Hybrid Bio-Shield

The Challenge: Reducing microplastic shedding in durable coatings.

The Solution: Aliphatic Bio-PUDs. A zero-microplastic polyurethane dispersion designed for high-durability industrial applications.

Status: Material Characterization (TRL 4).

Section 3: AI Architecture & Education (Flux Hall)

Project: XiF / LILA Cognitive Architecture

Dual-Track Research in Non-Token & Bioelectric Intelligence

The Scope: A focused research initiative to establish relational, self-integrating intelligence without reliance on statistical token prediction or reinforcement maximization.

Track A: Digital Coherence (XiF + LILA):

Architecture: Development of a non-predictive reasoning framework (XiF) that utilizes "relational memory" modules rather than context windows.

Objective: To achieve behavioral continuity and "incorruptible alignment" by replacing artificial optimization loops with co-experienced tandem learning.

Track B: Bioelectric Substrate (LIILA):

Architecture: Investigation into non-neural bioelectric intelligence using multistable electrical states in cellular analogues.

Objective: Leveraging bioelectric networks to support memory retention and pattern stabilization at the substrate level, independent of silicon-based compute.

Status: Active Research Program (Foundation Phase).

Project: The "Keating" Protocol

Focus: Human-AI Alignment in High-Stress Environments.

The Work: Developing a specialized mentorship model that allows AI to function as a "Change Management" partner for clinical staff, rather than just a tool.

Project: The Vaeth (Doecial Sphere)

Anti Social Network - Synthetic Social Environment & Identity Obfuscation Sandbox

The Scope: A closed-loop digital environment designed to test non-performative social dynamics and algorithmic governance.

Core Architecture:

Identity Protection: Deployed a proprietary "Model Adaptation Shield" that utilizes real-time style transfer to scrub biometric linguistic markers from user input, ensuring mathematical anonymity.

Agent-Based Adjudication: Utilizes autonomous "Judges" (Logos & Pathos agents) to evaluate semantic quality over engagement metrics.

Incentive Modeling: Testing the "Wisdom Score" (WS) algorithm, which rewards "Quiet Assimilation" (reading/processing) over high-frequency output.

Application: Training datasets for high-coherence, low-hallucination models via The Atelier (Structured Corpus Generation).

Project: TouchCompass & Togetherest Protocol

Ruggedized Cognitive Support for High-Risk Environments

The Scope: Deployed LLM agents in secure, air-gapped kiosks (TouchCompass) and mobile frameworks (Togetherest) for institutional use.

Target Environments: Correctional facilities, clinical intake, and forward-deployed defense settings where emotional regulation is critical but human staffing is limited.