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
Diagram comparing the complete industry AI stack to the Ivertiq Full-Stack AI Harness with Vertical Apps, Harness Control, and Core Foundation layers
Ivertiq’s Full-Stack AI Harness maps to the AI Software Stack (Applications + AI Models) in the industry 5-layer view — joint optimization of Core, Harness Control, and Vertical Apps.

Where Ivertiq sits

Interactive Layer Summary

Same story as the diagram above — Ivertiq expands the industry AI software stack (Applications + AI Models) into three jointly optimized layers. Summarized for quick scanning on smaller screens.

Complete AI stack (industry view)

Ivertiq Full-Stack AI Harness

AI software stack (maps here)

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

Underlying compute stack — not Ivertiq’s layer claim

Ivertiq expands layers 5–4 into three jointly optimized layers:

Expands industry layers 5 + 4

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 Validation Provenance HITL Determinism

Layer 1 — Ivertiq Core Foundation

Local & vertical LMs · knowledge engine · inference optimization

Sovereign verticalized LMs RAG Compute optimization

Ivertiq maps to the AI software stack (Applications + AI Models) — joint optimization of Core, Harness Control, and Vertical Apps.

AI Harness Control

The governed path from document to decision

Same Full-Stack AI Harness everywhere. These six stages make agent work auditable and human-gated — not a black-box chat. Harness Control is the operating layer; vertical agents are the apps.

  1. 1

    Ingest

    Bring in documents, messages, and system extracts — Web, email, messaging apps such as LINE, WeChat, WhatsApp, or Telegram, files, and ERP/QMS exports.

  2. 2

    Extract

    Parse and structure fields with local models and rules — OCR, tables, bilingual operational language.

  3. 3

    Align

    Match against systems of record and controlled references — PO/GR/vendor, SOPs, approved mappings.

  4. 4

    Govern

    Run fixed checklists, policies, Validation Packs, and role permissions — not free-form model discretion.

  5. 5

    Assure

    Flag uncertainty, enforce segregation of duties, and require human confirmation before consequential actions.

  6. 6

    Brief & act

    Deliver ready-to-use briefs and alerts; optional controlled write only after approval and a real connector. Systems of record stay authoritative.

Pilots can start with export/snapshot data before a write API exists. Named agents for ERP and life sciences are on the Sovereign Ops and Life Sciences pages.

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.
Why Ivertiq vs frontier / wrappers Models & post-training Deployment range