FAQ
Questions we hear most often
Answers for prospective customers, partners and resellers, and investors. For a scoped pilot or diligence materials, start a conversation →
General
About Ivertiq
What is Ivertiq?
Ivertiq provides a sovereign Full-Stack AI Harness for regulated verticals: best-fit local models, Harness Control (policies, provenance, human-in-the-loop), and vertical workflow agents — deployed across a range from cost-competitive on-prem Node and high-throughput Station to siloed Private Cloud.
How is Ivertiq different from ChatGPT, Copilot, or “AI wrappers”?
General tools optimize for horizontal productivity and often depend on public LLM APIs. Ivertiq is built for environments that require sovereignty, auditability, deterministic gates, and human accountability — joint optimization of models, control, and workflow apps inside customer-approved environments, not a chat UI bolted onto a cloud API.
What does “sovereign” mean here?
Sensitive corpora and operational data are designed to stay in customer-approved environments (on-prem or private cloud). Core regulated workloads are not required to call public LLM APIs. Air-gap-capable deployments are supported where the site requires it.
What is the Full-Stack AI Harness?
Three jointly optimized layers:
- Ivertiq Core Foundation — local/vertical LMs, knowledge engine, inference optimization
- AI Harness Control — orchestration, Validation Packs, provenance, HITL
- Vertical Apps / agents — ERP ops, life sciences, and other regulated workflows
Harness Control is the operating layer; vertical agents are the apps.
What is Harness Control (the six stages)?
Governed path from document to decision: Ingest → Extract → Align → Govern → Assure → Brief & act.
Uncertain or consequential steps are human-gated. Systems of record (ERP, QMS, lab systems) stay authoritative. See the full path on the Platform page.
Do you replace our ERP, QMS, or LIMS?
No. Ivertiq is a co-pilot / intelligence layer in front of systems you already run. People confirm; your system of record remains the system of record.
Can AI automatically post into ERP or issue controlled documents?
Not silently. Consequential actions require human confirmation and, for ERP write-back, a controlled connector. Pilots may start with export/snapshot data before a write API exists.
Where can Ivertiq be deployed?
Across a deployment range:
- Ivertiq Node — cost-competitive on-prem (e.g. GB10-class, RGX6000-class configs)
- Ivertiq Station — high-throughput on-prem for concurrent sessions
- Ivertiq Private Cloud — highly scalable multi-tenant siloed private cloud
Same Harness stack; sized to economics, concurrency, and operating model. Deployment page →
Which industries do you focus on?
We focus on regulated verticals. Starting beachheads:
- Life sciences — CRO, MAH, forensic drug analysis
- Sovereign enterprise operational intelligence — AI co-pilot on existing ERP (e.g. invoice verification and exception briefs)
We are defined by problem type (complex workflows, high-stakes decisions, regulatory oversight, explainable AI). Later domains (e.g. banking, legal) follow productization of the first wedges — they are not the current agent catalog lead.
Is Ivertiq only a Taiwan or Singapore company story?
No. Beachheads may start in specific markets (e.g. Taiwan ERP reseller motion; life-sciences design partners), but the guiding constraint is regulated verticals, not geography. The product and deployment model are built for global expansion.
How do we get started?
Start a pilot conversation via Contact. Typical first step: scoped design-partner pilot with clear KPIs, HITL gates, and (for ERP) a snapshot-first demo path such as invoice verification.
Customers
Enterprise & design-partner buyers
What problems do you solve first?
ERP: Supplier invoice verification co-pilot; remittance briefs; exception radar; proactive GR-awaiting-invoice alerts.
Life sciences: Forensic report review assist; SOP/GxP change assist; CTD/variation impact assist (Phase 1 scoped); CRO document assist.
See named agents on the Home page and the Solutions pages.
Why “co-pilot, not autopilot”?
In regulated and finance-adjacent ops, silent automation creates audit and accountability risk. Ivertiq accelerates reading, matching, and briefing; humans keep decision ownership.
How do you handle audit and explainability?
Harness Control records the path: inputs, alignment results, checklist/Validation Pack outcomes, notifications, and human decisions. Material outputs are designed for provenance and reconstructibility under scrutiny — scoped per deployment and Validation Pack.
What is a Validation Pack?
A vertical package of controlled checks, frozen guidance where applicable, and acceptance criteria aligned to the customer’s SOPs/workflows. Different beachheads use different packs on the same Harness.
Will this work with our existing ERP (e.g. Digiwin, CHI, or others)?
The pattern is ERP-agnostic at the agent logic layer, with adapters/connectors per ERP family. Pilots can begin with exports/snapshots; live API integration is scoped when available. We do not require rip-and-replace of your ERP.
How long does a pilot take?
Depends on data readiness, workflow scope, and integration depth. We prefer a narrow first wedge (e.g. one AP invoice path or one document class) with measurable KPIs over a broad “AI transformation” program. Exact timelines are set in the pilot plan — we do not publish a generic “days to production” guarantee.
Is our data used to train public models?
Deployments are designed so sensitive customer data stays under customer control. Training/post-training use of customer data, if any, is governed by contract and customer approval — not an implied right to ship data to public LLM providers for core corpora.
How do you approach GxP, FDA, SOC 2, and similar requirements?
We design for regulated workflows, human-in-the-loop gates, and audit needs. We only claim formal certifications or attestations when they are current and verifiable — we do not display badges we have not earned. For diligence, ask us what is in force for your checklist.
What does “illustrative” mean on case studies?
Some metrics and narratives are POC/MVP or design-partner direction, pending validation under each customer’s SOP, data, and hardware. They are not guarantees of identical results in every site. See Terms and the case-study scope notes.
Can we run air-gapped?
Appliance-style deployments can be designed for offline / air-gap operation with local model serving and frozen guidance packs, subject to scoping.
Partners
Resellers, VARs & domain networks
Do you sell around us to our installed base?
No. On accounts a partner introduces, the partner owns the customer relationship. Ivertiq does not bypass the channel.
What do ERP resellers actually sell?
An attach-on intelligence layer — starting with Invoice Verification Co-pilot — not a competing ERP. Expand to remittance briefs, exception radar, and related ops agents. Same Harness; your brand relationship with the customer.
Why is this good for Digiwin/CHI (or similar) resellers?
You meet customer demand for AI without expensive one-off ERP customization for every micro-difference. Small process quirks can often be absorbed in the AI/Validation layer. You keep renewal ownership; we provide product, demo kit, and deep-tech support.
Can we demo without a live ERP write API?
Yes. Current demo discipline uses export/snapshot data to prove read → match → brief value. Controlled write comes later via Adapter. Do not demo silent auto-posting.
What do you need from a design-partner reseller?
Typically: 3–5 named account candidates, willingness to run Demo #1 (invoice checklist), one pilot KPI, and snapshot data access under NDA/pilot terms.
What about ISO / quality consultants?
Adjacent motion: agents can help flag process-control breaks and assemble evidence packs. You own certification projects; we own continuous enforcement tooling — we do not sell ISO certificates.
What about life-sciences networks (CRO / MAH / forensic)?
Co-sell sovereign assistants under partner delivery models that respect sponsor, principal, and evidence confidentiality. Human review remains mandatory for accountable decisions.
How are deals commercially structured?
Common path: scoped pilot, then subscription and/or appliance (Node / Station / Private Cloud) packaging. Partner margin and territory terms are set in the partner agreement — directional economics are discussed commercially, not as website price lists.
Will you train our SEs?
Yes — enablement is part of the partner motion (demo script, positioning, do-not-demo boundaries, and technical follow-up). Deep architecture is for SE sessions, not the first sales call.
Investors
Thesis & diligence
What is the investment thesis in one paragraph?
Ivertiq builds a sovereign Full-Stack AI Harness for regulated verticals — local models, Harness Control (validation, provenance, HITL), vertical agents, and a deployable Node / Station / Private Cloud range — where sovereignty and audit decide the buyer. We are not a frontier-model lab and not a thin wrapper on public APIs; we own the stack that turns models into governed workflow outcomes. Beachheads in life sciences and sovereign ERP ops create design-partner proof and channel leverage; the platform expands across regulated problem types.
Why won’t open-source or frontier labs commoditize you away?
Model progress is a tailwind. Durable differentiation is the Harness — Validation Packs, connectors, decision logs, HITL gates, appliance economics, and switching costs tied to validated process evidence — not a single proprietary chat model.
Why these beachheads first?
They combine real constraints (sovereignty, HITL, SoR), reachable design partners, and paths to early commercial deployment. Taiwan ERP via resellers and life-sciences workflows are wedges to prove the platform — not a permanent “geography-only” company definition.
How do you think about global vs local?
Guiding constraint: regulated verticals, not geography. Local beachheads demonstrate productization and revenue; the repeatable Harness + deployment range is built for cross-market expansion.
What is the unit of commercialization?
Vertical agents + Validation Packs on the Harness, delivered as pilots and then Node / Station / Private Cloud deployments — not token-metered public API resale.
Do you have production references and ROI metrics?
We share diligence materials, design-partner status, and approved metrics under appropriate NDA / investor process. Public site metrics are kept scoped and illustrative unless customer-cleared. Ask for the current data room / brief.
How do you compare to other “regulated AI agent” companies?
Many peers lead with a single vertical (e.g. insurance/FS) and hybrid cloud routing. Ivertiq leads with a sovereign Full-Stack Harness, explicit appliance deployment range, and dual beachheads in life sciences + ERP ops, with channel-friendly non-compete for resellers.
Still have questions?
Tell us whether you are a customer, partner, or investor — we will route the conversation accordingly.