Sovereign cloud
Servers, storage and networks on Kawkav’s own fleet — not a reseller’s.
Private AI
Run open models on sovereign GPUs — nothing leaves your cloud.
Own your comms
A phone system, eSIM data and video rooms — under your own name.
Run the company
One sovereign platform for the back office, the shop, the farm and the plant.
The mission
Media tools, training and the sovereignty thesis behind Kawkav.
AI · private models
Most AI runs on someone else's cloud, on someone else's terms. Kawkav puts private LLMs inside your own tenant — under Swiss and EU jurisdiction, on open formats you can take with you. Your prompts and documents never leave your boundary and never train anyone else's model.
Four principles hold across every product we ship. They are not marketing — they are how the platform is built.
Models run inside your dedicated tenancy — not a shared public endpoint. Prompts and documents never leave your boundary and never train anyone else's model.
Data stays in Swiss and EU regions by default. GDPR is the starting point, not an add-on — export, deletion, DPAs and a clear sub-processor list come standard.
Bring HSM-backed keys for encryption and audit-log signing. Egress is blocked at the network level, not just by policy — inference stays on sovereign ground.
Open-weight models, open formats, open APIs. Take your weights, your vectors and your data and leave whenever you want. We earn the renewal — we don't trap it.
A single Kawkav mesh powers everything — chat, voice, vision, multilingual. Compact 8B/7B, a balanced 14B tier, a flagship large model, an Arabic-native model and a vision model, served as one fabric.
Every request logged with model version, parameters, latency and token counts. Append-only, signed, and exportable as CSV or streamed straight to your SIEM.
Curated, quantized and packaged for cost-efficient serving on your tenant. OpenAI-compatible endpoint, per-token billing, reserved capacity on demand.
Your existing OpenAI code works — change two lines, the base URL and the key. Same endpoints, same SDKs. Need dedicated silicon? GPU on-demand →
Per-token, monthly minimum, or fully reserved single-tenant silicon. EU data residency on every tier — no co-tenancy on the private plans.
On dedicated GPUs in Swiss and EU regions under our own control — no US hyperscaler underneath. You pick the jurisdiction at deploy, and your prompts, completions and embeddings never leave the tenant.
Never. Models run inside your own tenancy, not a shared public endpoint. Egress is blocked at the network level, not just by policy, so your data cannot be used to train anyone else's model.
No. Every model is open-weight, served on open formats through an OpenAI-compatible API. Export your weights, vectors and data and leave whenever you want — we earn the renewal.
Yes. Upload a LoRA, QLoRA or full fine-tune (SafeTensors), and we host, version and serve it on your tenant from €89/mo.
Deploy from your Kawkav console — the wizard provisions the endpoint live and streams progress. Billing is per-token, capped by your plan; no third-party checkout.
Your models, your data, your tenant — inside Swiss and EU jurisdiction, with no lock-in. Private inference is one click from live, from €9.90 a month.