What is IYABOKO Science & Technology?

IYABOKO Science & Technology – Software & Hardware is a Queensland-based platform for AI Workspace, CoreOS workflow, Continuity OS readiness, research support, evidence review, governance, and consultation pathways.

What is the main IYABOKO pathway?

The main pathway is AI Workspace to Continuity OS to Demo Lab to Validation to Governance to Consultation.

Does IYABOKO replace professional advice?

No. IYABOKO provides AI-assisted research, writing, planning, workflow, readiness scoring, evidence review, support, and consultation services. Outputs do not replace qualified professional judgement.

IYABOKO C3 NEXT COMPUTE MODEL

C3 Hybrid Advantage Computer™ C3-HX1

A governed heterogeneous computer model that routes work across classical, accelerator and quantum-ready fabrics while preserving evidence, continuity and human authority.

IYA-24SENTINEL 404 CONTINUITY EXTENSIONSQPU-READY, NOT QPU-DEPENDENT

ADVANTAGE GATENOT AUTOMATICALLY PROVENMeasured comparative evidence is required before any commercial superiority claim.

WHY A NEW C3 MODEL

Designed around the weaknesses of single-paradigm computing

Conventional bottleneck

CPU/GPU systems remain essential, but data movement, memory pressure, power and workload mismatch can dominate cost and latency.

Quantum bottleneck

Quantum processors are specialist accelerators with noise, error-correction, depth, access and data-interface constraints. They are not a universal CPU replacement.

C3-HX1 response

Profile first, route second, verify always: use the least-complex eligible fabric and retain deterministic fallback when specialist acceleration is not justified.

HYBRID COMPUTE FABRIC

One governed control plane, multiple compute paths

C3 Control + Evidence PlaneIYA-24 · Sentinel 40 · Human Authority

CPUGeneral + deterministic

GPUParallel + matrix

FPGALow-latency + bounded

Memory PlannerData locality + tiering

QSIMQuantum research

QPU AdapterExternal specialist accelerator

FOUR NEW CONTINUITY LAWS

Extension layer without renumbering IYA-24

IYA-24 remains intact. These four C3-HX1 laws operationalise Sentinel 37–40 for recovery, reform and long-term adaptation.

HX-L37

Post-Recovery Continuity Law

Recovery never restores authority automatically; identity, evidence, coherence and viability must be revalidated.

Foundation: KEBAGI · TOUTO · KEGEPA · GAKII

HX-L38

Post-Reform Continuity Law

After reform or architecture change, preserved identity, invariants and essential function must be demonstrated.

Foundation: GOTOMAI · TOUTO · IMOUMIKAPO · KEGEPA

HX-L39

Constant Continuation Law

Continuity is a time-dependent monitored condition, not a one-time acceptance event.

Foundation: TOUTO · ITAMUTO · KEGEPA

HX-L40

Adaptive Continuation Law

Adaptation is permitted only while viability, recovery, identity, evidence and whole-system coherence remain inside validated bounds.

Foundation: AKIYAKIYA · GOTOMAI · MAUMII · KEBAGI · KEGEPA

WORKLOAD ROUTER

Find the most defensible compute path before spending compute

Workload Memory intensity 0.50 Parallelism 0.50 Latency sensitivity 0.50 Determinism required 0.50 Energy priority 0.50 Quantum eligibility evidence 0.00 Current data locality 0.50

Optional measured benchmark evidence

Baseline runtime (ms) HX1 candidate runtime (ms) Baseline energy (J) HX1 candidate energy (J) Evidence reference

Configure the workload and run the router. No hardware benchmark result is invented.

REFERENCE HARDWARE FAMILY

One architecture, four deployable profiles

Vendor-neutral reference profiles only. Physical product claims require component selection, thermal/power engineering, prototype build, EMC/electrical testing, FAT/SAT and applicable external approvals.

HX1-E

Edge Assurance Node

Compute: ECC-capable CPU + optional FPGA/NPU class accelerator

Memory: ECC memory + local NVMe

Trust: TPM/HSM-class hardware root of trust

QPU: None required

Edge engineering, evidence capture, low-latency governed workloads

HX1-P

Professional Hybrid Node

Compute: Multi-core CPU + discrete GPU + optional FPGA

Memory: ECC memory + high-bandwidth accelerator memory + NVMe tier

Trust: Hardware root of trust + signed boot/evidence path

QPU: QSIM local; external QPU adapter optional

Engineering, simulation, AI/matrix and multidisciplinary professional workloads

HX1-R

Research QPU-Ready Node

Compute: CPU + GPU + optional FPGA with quantum workflow orchestration

Memory: ECC host memory + accelerator memory + research dataset tier

Trust: Hardware trust + signed experiment/evidence chain

QPU: External provider-neutral QPU adapter; simulator-first

University, research institute, materials/chemistry/optimisation pilots

HX1-X

Enterprise Hybrid Fabric

Compute: Clustered HX1 nodes under governed scheduler

Memory: Heterogeneous shared/data-local tiers + evidence storage

Trust: Organisation trust policy, hardware roots and independent evidence controls

QPU: Optional external/multiple QPU providers after qualification

Enterprise, public-sector and high-criticality programme infrastructure

COMMERCIAL ADVANTAGE MODEL

Where C3-HX1 can create customer value

Reduce unnecessary compute spend

Do not send every workload to the most expensive accelerator. Route according to evidence, latency, determinism and workload structure.

Avoid QPU lock-in

Keep classical execution available while quantum resources remain specialist, scarce, provider-specific or unvalidated for the workload.

Sell assurance with compute

Enterprise buyers receive route rationale, evidence state, uncertainty, recovery rules and human approval boundaries—not only raw compute access.