IN-COMPANY SOLUTION

Building Embedded
Intelligence.

Company-specific and sovereign AI built on your data, processes, and operational context, accelerated by our industry-specific knowledge graphs.

Company-specific and sovereign AI.

01 — specialized

Company-Specific

AI that understands how your business actually operates. It learns the language, processes, documents, and relationships that make your company unique. Built around your context, not around generic internet knowledge.

02 — trust

Decision-Grade

Built for decisions that affect customers, operations, inventory, and performance. Combining structured and unstructured information into a trusted source of intelligence. Designed for confidence, not experimentation.

03 — On-Premises

Sovereign

Your intelligence stays where your data lives. No public cloud dependency, no uncontrolled data sharing, and no loss of ownership. Secure, private, and fully deployed within your environment.

04 — Control

Traceable

Every answer can be traced back to the underlying data, documents, and business logic. Sources, relationships, and reasoning remain visible and auditable. Transparency by design, not as an afterthought.

03 / Process verticallm / how it works

// What we build

Three layers of intelligence
Embedded.

01 · Build your foundation

The Structured Layer

This is where the numbers, entities and relationships of the company are organized. Products, suppliers, materials, customers, locations, flows, inventories, service levels, risks, KPIs, costs and constraints are connected through our proprietary graph approach.

02 · Your language and logic

Company Context

This is where the system starts to understand how a specific organization works. Contracts, SLAs, process descriptions, strategy documents, supplier files, customer agreements, planning procedures, meeting documents. It is the creation of a usable intelligence base for the company.

03 · Pre-trained

Industry Context

This is the part we bring. We have pre-build industry specific layers with domain context. This includes industry language, regulations, typical processes, legislation, common risks, decision frameworks, relevant standards. It enriches the total corpus.

Included in the corpus:

ERPWMS TMS Financials Performance KPI Plants Warehouses Suppliers Customers

Procedures Processes Contracts SLA Instructions Vocabulary Audits

Legislation Regulations Framework ISO News Events News Trends

// Embedded intelligence

AI that stays
inside your company.
Safe and secure.

Your AI runs locally, within your own technology environment. Company data, models, inference and operational context remain inside your perimeter—protected by your existing security infrastructure and never exposed to a shared public cloud.

// Value

Local by design. Secure by default.
Independent by architecture.

The architecture is secure, private and technology-independent. Models and infrastructure can change without losing the intelligence you have built. Your knowledge graph, company corpus and operational logic remain stable, portable and entirely under your control.

FAQ verticallm / common questions

// Common questions

Answers
to the hard
questions.

If something is still unclear, reach out directly — we prefer precision over marketing collateral.

Get in touch

Does the model require a cloud connection to run?

No. The entire inference stack runs on-premises. No API call leaves the operator’s perimeter after deployment. Training data, model weights, and outputs remain under your control.

How long does a typical deployment take?

Scope and initial training typically run 6–10 weeks, depending on data readiness and decision surface complexity. Subsequent iterations are faster.

What hardware is required?

We tune for the operator’s existing infrastructure. Edge GPU configurations are preferred for latency-critical applications; CPU-only deployments are available where constraints require it.

How is model output audited?

Every decision is logged with version, inputs, and confidence. Audit logs are queryable and exportable in standard formats. Nothing is opaque by design.

Can we retrain the model as our data evolves?

Yes. The model is yours to own and retrain. We provide tooling for incremental fine-tuning and can support scheduled retraining pipelines.

Why we stopped using Cloud AI

newsJul 7, 2026

Our position on using only local AI and why we stepped away from cloud-first AI and frontier models. The dominant cloud-first paradigm is no longer sufficient for companies.

CorpusJul 20, 2026

Embedded Intelligence

Building AI around the knowledge of the company. The concept of Embedded Intelligence, knowledge graph leveraging AI.

TechnologyJul 21, 2026

What is a Knowledge graph?

A knowledge graph represents a network of entities, such as objects, events, situations or concepts, information, and illustrates the relationship between them.

newsJun 16, 2026

Industry specific graph technology

Welcome to WordPress. This is your first post. Edit or delete it, then start writing!

TechnologyJun 18, 2026

Introduction of workspaces in our platform

A true breakthrough in graph technology. but now with additional text. Replace this with your opening paragraph. The big title above is…

03 / Process verticallm / how it works

// How we work

Your data. Your control.
Embedded as intelligence.

01 · Your foundation

It is your data

The most valuable context of the company already exists inside the business: numbers, documents, agreements, procedures, planning rules and operational knowledge. Our promise is simple. We help structure it, connect it and make it usable for AI, but the intelligence starts with what is already yours.

02 · Built local

It stays your data

Sensitive company knowledge should not be treated as disposable prompt input. We build local-first, secure and controlled environments so your data, documents and context stay inside your organization. The core of the company remains protected, governed and under your control.

03 · Long-term value

Embedded intelligence.

Once your context is structured, it becomes a reusable intelligence layer for the company. We help you turn data, documents and domain logic into a foundation for current and future AI: retrieval, agents, scenarios, decision support and continuous learning.

Included in the corpus:

ERP TMS Contracts SLA KPI Procedures

On-prem Local-AI Secure Sovereignty RLS Audit

Corpus Graph RAG Scenario Agents

// Value

The AI you can swap.
Your Embedded Intelligence stays stable.

Every model, every inference, every byte stays inside the perimeter — a private graph of operators, not a shared cloud. No technology lock-in. You can change within minutes from one AI model to another.

// Business · questions

Embedded Intelligence for the questions that matters.

Every model, every inference, every byte stays inside the perimeter — a private graph of operators, not a shared cloud.

// QUESTIONs

// YES

// NO

What changed?

A supplier, port, material, regulation or customer condition changes. The system identifies the affected products, flows, customers and decisions.

Faster situational awareness.

What is exposed

A disruption is linked to suppliers, bills of material, contracts, inventory, customers and service commitments.

Better risk visibility and situational awareness.

What should we do?

The system compares options, trade-offs and constraints using company-specific context.

Better decision support

What do we know?

Policies, contracts, process descriptions, supplier files, ERP data and external signals are combined into one usable context layer.

Better decision support. Planning, S&OP, IBP, Operations, Production.

What should we improve

Every answer is linked back to sources, assumptions, data lineage and retrieval evidence.

More control and confidence.

// Contact

Let’s talk about your operation.

Tell us where intelligence should live inside your company. We’ll come back within two working days.

Emailcontact@verticallm.ai

Based inRotteram · The Netherlands

Building EmbeddedIntelligence.