Enterprise AI,
Deployed Where Your Data Lives.
VectorMATRIX designs and deploys secure, self-hosted AI infrastructure for mid-sized businesses and enterprises — across industries, backed by twelve years of industrial experience. Three deployment modes — fully local, private cloud, or optional governed hybrid. No third-party cloud required. No data exposure. Full control — from model to operations.
Product · Built on our own private stack
Twinforge — every project document becomes one living model
BIM exports, P&ID line lists, SAP procurement dumps, legacy spreadsheets, RFID gate scans — capital projects drown in disconnected files. Twinforge ingests them all, reconciles conflicting tags with confidence scoring, and fuses them into a single canonical model: a 4D schedule + 5D cost digital twin you can scrub like a video. Self-hosted, on your infrastructure — your project data never leaves your servers.
Legacy ingestion
SAP/Ariba exports, incomplete Excel indices, IFC snippets, P&ID line lists — parsed, profiled, and mapped in minutes, not weeks.
Canonical model
Conflicting tags, duplicates and gaps resolved with explicit confidence scores — you see exactly what matched, what guessed, what is missing.
4D + 5D twin
Every element carries geometry, schedule and cost. Scrub the timeline, watch forecast delays surface weeks before they hit the site.
RFID field truth
EPC-96 tags on every object. Gate scans prove physical progress against the plan — no more status meetings based on opinions.
▶ Watch a project build itself
RFX-TANKFARM-300 — refinery tank farm · 105 objects · 6 months · USD 4.33M · live from the real demo datasetGenerated by our own private stack
This platform briefing was created by the Slide Creator we deploy for clients — AI-generated outline, real charts, executive layouts. Rendered on a private server. No data left the machine.
From strategy to production-grade AI systems
We don't sell slides. We ship infrastructure — containerized, documented, and running on hardware you control.
AI Strategy & Architecture
Executive-level roadmaps that separate signal from hype. We audit your operations and identify where AI delivers measurable ROI — not where vendors want to sell it.
- AI readiness assessment
- Use-case prioritization & ROI modeling
- Vendor-independent architecture design
Self-Hosted AI Deployment
Full-stack, on-premise AI: local LLMs, vector databases, and workflow automation — deployed on your VPS or datacenter, hardened and production-ready.
- Local LLM serving (Ollama, vLLM)
- Vector search (Qdrant, pgvector)
- Workflow automation (n8n, custom agents)
- Docker, Nginx, TLS, monitoring
Consulting & Market Intelligence
Twelve years of trilingual industrial consulting across Europe and Southeast Asia — focused on AI implementation: from use-case assessment through workflow automation to production-grade, self-hosted operations.
- AI implementation & workflow automation — cross-industry, service and trade
- Cross-border market entry (DE ↔ US ↔ Asia)
- Market briefings on AI — and, on the side, digital assets
Three Ways to Put AI to Work — Without Losing Control
Every deployment runs in one of three modes — you choose the perimeter, we harden it to the same standard. Fully local is the default: open-weight models on your hardware, no third-party cloud, no external calls. Private cloud runs in a tenancy you control — European VPS or your own AWS/Azure account. Governed hybrid is optional: external reasoning reachable only through the VectorMATRIX Sanitizer. We match the mode to your use case, not the other way around.
▶ Live: one perimeter, every path governed
VectorMATRIX Sanitizer · policy-enforced egress · local fallbackDiagram of the AI integration flow: data from sensors, cameras, documents, and MES/ERP systems is processed by on-site edge inference and open-weight models. Requests that need external reasoning pass through the VectorMATRIX Sanitizer, which redacts personal data and enforces policy; blocked requests are handled locally. All results converge on a dashboard with decisions, alerts, and reports.
- Waiting for the first packet…
Mode 1 · Fully Local — Open Weights
Cutting-edge open-weight models running entirely on your hardware — on-premise, air-gapped capable. Vision, language, documents, time series: every workload stays inside your perimeter. No third-party cloud, no external API — the default for sensitive, latency-critical operations.
Mode 2 · Private Cloud — Your Tenancy
When elasticity wins, we deploy on your terms: European VPS (Hetzner, OVHcloud, IONOS), AWS, or Azure — selected per use case, hardened to the same standard as our on-premise stacks. Data stays in infrastructure you contract and control — never in a shared SaaS.
Mode 3 · Governed Hybrid — Optional
Opt in per workload: keep sensitive data local, tap external reasoning only where it adds value. The VectorMATRIX Sanitizer strips, pseudonymizes, and logs every outbound call; blocked requests fall back to local models — full reasoning power, zero raw-data exposure.
Green Energy use cases — live architectures, not slideware
Two flagship deployments from the energy transition, built on the same sovereign stack: edge inference, open-weight models, the VectorMATRIX Sanitizer, and ~5% policy-gated cloud reasoning.
Hydrogen Energy
Electrolyzer telemetry, ATEX safety vision and certification documents — processed on-site by edge inference and open-weight models. The VectorMATRIX Sanitizer governs every outbound call; only ~5% of requests reach a secure cloud API. Built for EU markets.
Explore the use case →
Solar Panel Plants
String and inverter telemetry, drone-based hotspot detection, yield forecasting and grid-compliance documents — the same sovereign stack for utility-scale PV.
Explore the use case →
Wear-Part Tracking (Mining)
RFID-based lifecycle management for crusher wear parts — on-site AI, no cloud required. Read the deep dive in Insights.
Read the insight →Built for heavy industry — and for mid-sized businesses
Generic AI consultancies fail on the factory floor. We come from the shop floor ourselves.
Manufacturing
CNC machining roots. Predictive maintenance, quality vision systems, production scheduling agents, and shop-floor documentation automation that your machinists will actually use.
Deep dive: CNC & manufacturing →Mining
Remote sites, sensitive geology, zero cloud tolerance. Air-gapped LLM deployments for geological reporting, fleet telemetry analysis, and compliance documentation.
Deep dive: mining →Oil & Gas
Engineering document intelligence, HSE reporting automation, and retrieval systems over decades of technical archives — running entirely inside your perimeter.
Deep dive: oil & gas →Your data never leaves your servers
Every unmanaged API call to a public AI provider is a leak vector — so our default mode is fully local: open-weight models on infrastructure you own, zero exposure. Prefer elasticity? The same stack runs in your private cloud tenancy. Need external reasoning? It is reachable only through the Sanitizer — redacted, policy-gated, logged. In every mode, the perimeter stays yours.
- ✓Data sovereignty — air-gapped capable; GDPR supported through concrete controls, not architecture claims
- ✓Access control — SSO/RBAC, least-privilege service accounts, audited admin access
- ✓Retention & deletion — configurable retention windows and documented deletion paths per data class
- ✓Audit logging — access, policy decisions and every outbound call are logged and reviewable
- ✓Egress restrictions — outbound traffic denied by default; exceptions only policy-gated through the Sanitizer
- ✓Defined responsibilities — you remain the data controller; we act as processor with Art. 28 DPA, TOM documentation and a handover your IT team can actually maintain
- ✓Predictable cost — flat infrastructure, no per-token billing surprises
- ✓Modular stack — containers you can audit, replace, and extend
Self-hosting alone does not establish GDPR compliance — it makes compliance achievable. We implement the technical controls above and document the organisational measures — policies, training, periodic reviews — that your team owns after handover.
Request the security whitepaper (PDF)# Reference deployment — your VPS vectormatrix.io → marketing site (static) ai.yourcompany.com → private AI stack $ docker compose ps ├─ edge-ingest sensor + machine inputs (vibration, acoustic, vision) ├─ ai-engine open-weight models — per use case (NVIDIA · Qwen · …) ├─ gateway audited API gateway ├─ sanitizer VectorMATRIX Sanitizer — PII redaction + policy ├─ secure-egress Secure Cloud API — optional, policy-gated, ~5% of requests ├─ vector-store semantic search index ├─ secure-storage encrypted object store ├─ automation workflow engine ├─ reporting KPI & document reporting ├─ workspace team chat interface └─ edge-proxy TLS + reverse proxy shop-floor → edge → open-weight models → sanitizer ⇢ secure cloud API (optional, ~5%). Raw data never leaves. $ uptime — 99.9% · data residency: yours
Try it on ours. Run it on yours.
Every demo on this site runs on our own VPS — no cloud AI, no third-party APIs. Production systems run on hardware you own — or in a private cloud tenancy you control.
What you can test today
The live demos at vectormatrix.cloud run on our containerized reference stack — compact open-weight models (e.g. NVIDIA Nemotron Nano class) on standard server hardware. Enough to evaluate quality, workflows, and governance.
Where the real value runs
For production we deploy larger model classes (e.g. Nemotron 30B) on infrastructure at your site — from an on-premise server to edge devices directly at the machine. Latency-critical and sensitive workloads never leave your perimeter.
Transparent, scope-based pricing
No lock-in, no licensing traps. You own everything we build.
- Operations & data audit
- Use-case ROI report
- Architecture recommendation
- Executive briefing session
- Everything in Assessment
- Complete containerized deployment
- Custom workflows & agents
- Security hardening & TLS
- Documentation + team handover
- Monitoring & maintenance
- Model upgrades & tuning
- New workflow development
- Priority response channel
Ready to own your AI?
Book a 30-minute discovery call. We'll tell you honestly whether self-hosted AI makes sense for your operation — and if it doesn't, we'll say that too.