PHI-01 PHI-Twin PHI-02 PHI-Chain PHI-03 PHI-Arc PHI-04 PHI-Sense PHI-05 PHI-Engine PHI-06 PHI-Drone
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Digital Twin Training Penelope Agent Security Architecture Financial Cryptography
APPLIED ENGINEERING

Services, built by the team behind PHI Suite.

Digital twin education, sovereign AI infrastructure, and security systems — the same discipline behind our aerospace research, applied where it fits.

01 — EDUCATION

Digital Twin Technologies: Foundations, Architecture & Industrial Implementation

A production-grade professional course bridging digital twin theory and real-world deployment — adapted for constrained-infrastructure environments and specialized for aerospace MRO. Nine modules, an aerospace flagship specialization, and a hands-on capstone.

Who Should Attend

  • Engineers & data scientists bridging simulation and IoT
  • Technical managers leading Industry 4.0 initiatives
  • Graduate students in manufacturing, PLM, or aerospace PHM
  • MRO and airline engineering staff evaluating predictive maintenance

Track A — Open-Source, Edge-First

  • Eclipse Ditto, ThingsBoard, openFOAM, Grafana
  • Cost-free, Nigeria-first default track
  • Raspberry Pi / ESP32 edge deployment

Track B — Industry-Standard

  • Ansys Twin Builder, Siemens Simcenter, MATLAB/Simulink
  • Azure Digital Twins, AWS IoT TwinMaker, NVIDIA Omniverse
  • For teams with vendor access — no assessment requires a paid license
00
Digital Foundations Bootcamp

Python, Linux essentials, Git, IoT basics — mandatory baseline for students without prior programming exposure.

01
Foundations of Digital Twins

Rigorous definition distinguishing a true Digital Twin from a Digital Model or Digital Shadow. Historical evolution from NASA's Apollo program to Industry 4.0.

02
Theoretical Foundations & Modeling Paradigms

Physics-based, data-driven, and hybrid modeling. Reduced Order Modeling for real-time simulation, uncertainty quantification, model validation.

03
Architecture & Technology Stack

ISO 23247 four-layer architecture, DTDL and AAS semantic modeling, edge-vs-cloud deployment for intermittent power and connectivity.

04
Methodologies & Implementation Strategy

The 5-step build process, maturity assessment, and the 3-6-12 Rule ROI framework adapted for shorter, more visible payback windows.

05
Practical Workshops

Build a working twin: sensor → MQTT → twin platform → dashboard, Track A mandatory, Track B optional for teams with vendor access.

06
Cybersecurity, Ethics & Future Horizons

Zero Trust security principles, EU AI Act and NDPA 2023 compliance obligations, Industry 5.0 and AI-native twins.

07
Digital Twins for Nigerian Industries

Sector case studies: Dangote Refinery, national grid mini-grid twins, post-harvest cold-chain, the Aba manufacturing cluster.

08
Aerospace Digital Twins (Flagship)

Built directly on our own PHI Suite research: landing gear PHM (PHI-Twin), turbine blade prognostics (PHI-Engine), UAV simulation (PHI-Drone), and secure twin data provenance (PHI-Chain).

Capstone Project

Teams of 3–4 design and build a digital twin for a real asset over two weeks: problem definition document, technical architecture, working sensor-to-dashboard prototype with at least one ML or physics-based analytic component, a demo video, and a final presentation to an instructor panel and industry guest.

Course Deck Preview

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University Departments

Full-cohort pricing, custom curriculum scope, delivered over our own screen-share platform.

MRO / Enterprise Teams

Professional-track pricing, applied case studies from real aircraft component data.

Individuals

Self-enrollment pricing, identical material to the professional track.

A GLIMPSE OF THE COURSE DECK — CLICK ANY SLIDE TO VIEW
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10-slide overview — full deck available on request.

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02 — SOVEREIGN AI INFRASTRUCTURE

Penelope Agent: your operations, your hardware, your data

We deploy a private AI agent, customized for your operation, that runs on hardware you control — not a vendor's cloud. Originally built to run our own aerospace research operations, hardened for teams who cannot risk proprietary telemetry or design data touching a third-party model provider.

Built For

  • Engineering teams handling proprietary telemetry or CAD data
  • MRO operations wanting AI assistance without cloud data exposure
  • Research labs needing air-gapped or hardware-locked deployment

Architecture

  • Runs entirely on hardware you control
  • Hardware-locked identity, no cloud vendor lock-in
  • Same underlying agent architecture running our own operations today
Discuss a Deployment →
03 — SECURITY ARCHITECTURE

Security architecture, built by the team securing avionics data links

Company-scale security architecture — network design and physical-access considerations — built by the same team designing PHI-Chain's tamper-evident ledger for aviation communications. If you don't have a clear answer to "how would we know if we'd been breached," that's the gap we close.

What We Design

  • Network segmentation and least-privilege access control
  • Intrusion detection and predictive threat monitoring
  • Audit-logged, tamper-evident system architecture

Where It Comes From

  • Same Zero Trust principles taught in our Digital Twin course's security module
  • Same threat model discipline behind PHI-Chain's aviation ledger
Request an Audit →
04 — LEDGER ARCHITECTURE

Financial cryptography, adapted from aviation-grade ledger design

Secure ledger architecture for organizations handling money that can't afford ambiguity about where it went. This is the same permissioned-network engineering behind PHI-Chain — a Hyperledger Fabric network built to resolve conflicting records through tamper-evident, distributed consensus rather than a single trusted authority — applied to financial rather than avionics data.

Core Technique

  • Permissioned Hyperledger Fabric networks
  • GF(2⁸) Shamir threshold cryptography
  • Split-payload architecture for latency-sensitive verification

Built For

  • Organizations needing defensible, auditable transaction records
  • Teams that need records to hold up to a regulator or insurer after the fact
Discuss Your Requirements →
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