Portfolio & R&D Registry

Projects, products and research initiatives

We maintain a transparent registry of our work. Every entry clearly separates Live / Delivered software, Prototype / Pilot builds, In Development products, and Research Concepts, alongside our verified role and technology stack.

Portfolio Integrity Gate: Generic sample placeholders have been excluded from our public portfolio. Visuals representing early-stage architectures or UI previews are explicitly labelled Concept illustration.

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All (6)By Stage:Live / Delivered Prototype / Pilot In Development Research Concept

By Domain:AI & Data Web & Mobile Public Sector Agriculture

Concept diagram of ARYA AIE showing AIE REASON, AIE LEARN, and AIE TRUST layers

Research Concept

3 Explanatory Diagrams InsideConcept illustration

Step-by-step explanatory pipeline diagram of ARYA AIE runtime execution from input gate to operator decision

Four-Stage Runtime Execution & Escalation Pipeline

Annotated UI walkthrough of the ARYA AIE human-in-the-loop operator assurance and calibration console

Human-in-the-Loop Operator Assurance & Calibration Console

AI & DataPublic Sector

ARYA AIE — Adaptive Intelligence Engine

Proposed modular AI research architecture exploring structured reasoning (AIE REASON), selective continual learning (AIE LEARN), and runtime policy assurance (AIE TRUST).

Verified Role:Principal R&D Architecture, Specification & Experimental Design

Grant Application Submitted — Under Assessment (Not Awarded)

PythonTypeScriptFastAPIPostgreSQL

View project specification & status

Concept illustration of AI-enabled digital twin telemetry and predictive maintenance workspace

Research Concept

3 Explanatory Diagrams InsideConcept illustration

Explanatory 4-stage digital twin engineering diagram showing sensor ingestion, state estimation, RUL scoring, and maintenance triage

Four-Stage Shadow Telemetry & RUL Prediction Architecture

Three-panel explanatory comparison of Civic Infrastructure, Building HVAC, and Maritime Vessel digital twin proposals

Cross-Domain Sensor & Anomaly Comparison Matrix

AI & DataPublic Sector

AI-Enabled Digital Twins & Predictive Maintenance Proposals

Feasibility and research concepts exploring sensor-driven digital twins for civic infrastructure maintenance, building HVAC efficiency, and maritime vessel health monitoring.

Verified Role:Feasibility Study Design, Data Integration Architecture & Anomaly Detection Modelling

Grant Application Submitted — Under Assessment (Not Awarded)

PythonTypeScriptNext.jsPostgreSQL

View project specification & status