Determinism
The Harness decomposes the work into deterministic steps, keeps sub-agent context clean, and uses fixed lookups — not probabilistic routing.
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 — 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.
How the Harness delivers
The six non-negotiables
The AI Harness is not only how Ivertiq applies model, tool, and environment capability. It is also how Ivertiq ensures the six non-negotiables.
Provenance
The Harness records cites and actors for every material action on the Case.
Auditability
A controller reconstructs the path from Harness records.
Sovereignty
Models run in customer-approved environments. Core corpora do not leave on a public LLM API.
Security
Control is Harness-gated. Air-gap is a real path.
Human-in-the-loop
The Harness stops at critical gates for a designated person. Nothing proceeds until they authorize, comment, or choose.
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.
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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.
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2
Extract
Parse and structure fields with local models and rules — OCR, tables, bilingual operational language.
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3
Align
Match against systems of record and controlled references — PO/GR/vendor, SOPs, approved mappings.
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4
Govern
Run fixed checklists, policies, Validation Packs, and role permissions — not free-form model discretion.
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5
Assure
Flag uncertainty, enforce segregation of duties, and require human confirmation before consequential actions.
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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.