AI Integration,
Engineered for Sovereignty.
Open-weight models fully local on your hardware, a private cloud in your own tenancy, or an optional governed hybrid with sanitized API calls — we match the deployment mode to your use case. Every option is engineered for data sovereignty, auditability, and control.
One Perimeter. Every Path Governed.
Follow a request across the full integration: raw sensor, camera, and document data is inferred at the edge and in your open-weight model stack, the VectorMATRIX Sanitizer redacts personal data in real time, secure cloud APIs are reachable only through the Sanitizer — and every path ends as a decision on your dashboard.
▶ Watch the gateway govern every packet
external reasoning only when necessary · ~5% policy-gated · everything else stays localDiagram 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…
Three deployment modes — chosen per use case
There is no single right answer to enterprise AI. There is a right answer per workload — and it is usually one of these three.
Fully Local — Open Weights
Maximum sovereignty. Choose when data may never leave your perimeter — on-premise GPU servers or your private VPS.
Learn more ↓Private Cloud — Your Tenancy
Maximum elasticity without shared SaaS. Choose when burst workloads, global reach, or managed operations outweigh physical custody — delivered in your own AWS/Azure account or a dedicated EU VPS.
Learn more ↓Governed Hybrid — Sanitized APIs
Best of both worlds. Choose when external reasoning adds value but raw data must stay local — enforced by the VectorMATRIX Sanitizer, with automatic fallback to local models.
Learn more ↓
Cutting-edge open weights, entirely on your hardware
Current open-weight models cover nearly every industrial use case: large language models for text and dialogue, vision models for quality inspection, document AI for technical archives, speech recognition, and time-series analysis for sensor data. We deploy them on infrastructure you control — GPU servers in your datacenter, leased bare metal, or a private VPS in Europe. Not a single byte leaves your perimeter.
- No external calls — air-gapped capable; the stack works with zero internet connectivity
- Managed update cadence — new model versions are benchmarked against your workloads in an evaluation harness before they reach production
- License diligence — we verify every model license for commercial use before it enters your architecture
- Full capability range — LLMs, vision, document AI, speech, and time series from one coherent stack
Elasticity on your terms — inside your own tenancy
When elasticity, global reach, or managed operations tip the scales, we deploy in the environment that fits your use case. A European VPS is our default for sovereignty-sensitive work; for elastic or globally distributed workloads we select AWS or Azure per requirement — never out of habit. Every environment is hardened to the same baseline as our on-premise stacks.
- European VPS by default — the first choice for sovereignty-sensitive workloads
- AWS or Azure — selected per use case, with data-region and egress constraints defined up front
- Same hardening baseline as on-premise — strict CSP, minimal egress, no third-party trackers
- Burst & reach — elastic capacity and global presence without building out your own hardware
Sanitized API calls: external reasoning, zero raw-data exposure
Some tasks benefit from external reasoning power — without a single raw datum leaving your company. The VectorMATRIX Sanitizer sits between your systems and external endpoints and enforces your policy on every call. Sensitive data stays local; only sanitized, purpose-bound requests ever reach an external reasoning endpoint — and those endpoints are used statelessly, with no retention.
- PII redaction & pseudonymization — names, identifiers, and personal data are stripped or replaced with tokens
- Schema filtering — only approved fields leave the gateway; everything else is dropped
- Egress allow-listing — outbound connections reach vetted endpoints only
- Full audit log — every external call is traceable and documented
- Local fallback — when policy blocks a call, local models take over transparently
The same posture we apply to this site
Security is not a slide in our deck — it is the configuration we run ourselves. Every AI integration we ship follows the same checklist, whatever the deployment model.
Which mode fits which workload?
A starting point, not a dogma — the Assessment quantifies your specific case.
| Use case | Recommended model | Why |
|---|---|---|
| Document intelligence | Fully local | Contracts, drawings, and reports are crown jewels — OCR and retrieval run entirely inside your perimeter. |
| Predictive maintenance | Fully local | Sensor streams are latency-critical and process-sensitive; inference runs at the edge, directly on site. |
| Quality vision | Fully local | Line-speed inspection cannot wait for a network round-trip — and images never leave the hall. |
| Knowledge assistant | Governed hybrid | Internal knowledge stays local; only sanitized, policy-checked queries reach external reasoning endpoints. |
| Code & automation reasoning | Private cloud | Non-sensitive workloads tap elastic reasoning capacity — hardened, egress-constrained, and logged via the gateway. |
From assessment to hardened rollout
The same four steps, whatever the integration model — documented, scoped, and handed over to your team.
Assessment
We audit your operations, data landscape, and constraints — then prioritize use cases by ROI and risk.
Architecture & threat model
Integration model, data flows, and threat model are documented before a single line is deployed.
Pilot in your perimeter
A scoped use case goes live in your chosen environment — evaluated against your own metrics.
Hardened rollout & operations
Scale-out with the same hardening baseline — monitoring, documentation, and handover to your team.
Ready to put AI to work — on your terms?
Book a 30-minute discovery call. We will tell you honestly which integration model fits your operation — and if none does yet, we will say that too.