Platform
Full-Stack AI Harness
How the stack is structured and jointly optimized — Core, Harness Control, and Vertical Apps — for regulated workflow execution. For the five-point platform definition (Optimized · Sovereign · Full-Stack · AI Harness · Regulated Verticals), see Home → The platform, defined.
AI technology stack — Ivertiq positioning
Key diagram
Where Ivertiq sits
Interactive layer summary
Same story as the diagram above — summarized for quick scanning on smaller screens.
Complete AI stack (industry view)
5
ApplicationsAI-powered products that deliver value
4
AI ModelsFoundation and domain-specific models
3
InfrastructureCloud, networking, storage, software
2
ChipsGPUs, CPUs, accelerators
1
EnergyPower for compute at scale
Ivertiq Full-Stack AI Harness
Layer 3 — Vertical Apps
Industry workflows, agents, and solutions
CRO BD & Quotation
Bioanalysis / Lab
Regulatory (CTD)
Sovereign Ops Intelligence
Layer 2 — AI Harness Control
Orchestration, policies, guardrails, HITL & audit
Orchestration
Multi-agent
Validation rules
Provenance
Human-in-the-loop
Layer 1 — Ivertiq Core Foundation
Local & vertical LMs · knowledge engine · inference optimization
Sovereign LLMs / SLMs
RAG
Compute optimization
Full-stack with joint optimization + AI Harness + vertical apps.
Why this architecture matters
- Model layer alone is not enough — regulated work needs validation, provenance, and human gates.
- Apps without a harness become brittle point solutions that cannot share control or audit patterns.
- Joint optimization means post-trained models, retrieval, agents, and appliances are designed together for on-prem economics.