Private AI
infrastructure

Everything needed to run modern AI inside your own network — from a single GPU workstation to a multi-node cluster, cloud-connected or fully air-gapped.

Inference Isolation Speech & OCR
Self-Hosted Inference

Cloud-grade serving.
Your hardware.

We deploy and operate production LLM serving stacks on your GPUs: model management, streaming responses, request queueing, and an OpenAI-compatible API surface so your existing applications and SDKs work unchanged. Fronted by a hardened reverse proxy with authentication, quotas, and full request audit.

Runtimes Ollama, vLLM, llama.cpp, TGI
Models Llama, Qwen, Mistral, Gemma, DeepSeek + any GGUF/HF
API OpenAI-compatible, SSE streaming
Hardware Single workstation GPU → multi-node clusters
Model Hot-swap Quantisation Request Queueing Team Quotas Full Audit Trail
Your Applications
Internal Tools
Chat UI
Automations
↓ OpenAI-compatible API (LAN only)
Serving Gateway
Auth & Quotas
SSE Streaming
Audit Log
↓ load-balanced
GPU Nodes
qwen2.5-14b
llama-3.3-70b
mistral-small
embeddings
Isolated Deployment

Air-gapped.
Verifiably.

For legal practices, healthcare, defence contractors, and financial institutions, "we don't send your data anywhere" has to be provable — not a promise in a privacy policy. Our isolated deployments run in egress-blocked containers on networks with no route to the internet. Model updates arrive by signed offline bundle, applied through a controlled transfer procedure.

Network Zero egress, firewall-verified
Isolation LXD containers, unprivileged, per-workload
Updates Signed offline bundles, checksummed
Access LAN-only, optional WireGuard for admin
Full Air-Gap Offline Model Registry Signed Bundles Egress Monitoring Compliance Reports
🌐
Internet
─ ✕ ─
🔒
Air-Gap Boundary
───►
🧠
AI Enclave
🚫 No outbound routes
📦 Offline model bundles
Signature verification
🧱 Container isolation
📋 Audit-ready logs
🔍 Egress monitoring
Speech & Document AI

Every word.
Every language.

Local transcription with Whisper-class models, vision-model OCR for scanned documents, and language-specific post-processing pipelines. We have deep production experience with Hebrew and RTL document processing — historical texts, legal documents, and invoices that generic cloud OCR mangles.

Speech faster-whisper, GPU-accelerated, batch or live
OCR Vision LLMs (Qwen-VL class) + layout analysis
Languages Multilingual; Hebrew / RTL specialisation
Pipelines Resumable batch jobs, review workflows
Call Transcription Document OCR Invoice Extraction Text Modernisation Review PDFs
OCR חשבונית מס 4508
Extraction confidence
96.2%
Modelqwen-vl (local GPU)
DirectionRTL — Hebrew
Fields✓ 12 / 12 extracted
Data egressnone

See it running on real hardware.

We'll demo the full stack — inference, isolation, and document AI — on infrastructure like yours.