kawkav
Sign in
Kawkav / AI / Mesh Monitor
Mesh online · serving live traffic

AI · live model fabric

One sovereign mesh. Every model, on demand.

The Kawkav mesh is a pooled, private inference fabric spread across EU and Gulf regions. It powers every Kawkav AI product — agents, voice, sovereign models, intelligence — through one routed gateway, with no dependence on US hyperscalers. Watch it route tokens live.

12
Models online
4
Sovereign regions
7
Capabilities
2.4B
Tokens served

EU + Gulf sovereign regions · one routed gateway · capacity scales on demand · snapshot, updated continuously

Model catalogue · by capability

Every capability, one fabric.

Models are grouped by what they do, not where they run. Pick a capability; the gateway routes to live capacity in the nearest sovereign region.

Chat · compact

Fast, low-cost conversational models for everyday assistants, drafting and high-volume automation.

7B / 8B class · low latency · Live

Chat · balanced

Mid-size models that balance reasoning quality with speed — the default for most agent workloads.

14B class · general purpose · Live

Flagship reasoning

Large models for hard reasoning, long context and complex multi-step tool use where quality matters most.

Large · deep reasoning · Live

Arabic-native

Models trained for Arabic-first dialogue and Gulf-region use cases — fluent MSA and regional nuance.

Arabic + English · MENA · Live

Vision-language

Multimodal models that read images, documents and manuscripts — OCR/HTR, charts and visual Q&A.

32B class · image + text · Live

Embeddings

Dense vector embeddings for semantic search and retrieval-augmented generation across private corpora.

Multilingual · RAG · Available

Speech · ASR/TTS

Speech-to-text and text-to-speech for real-time voice agents and call handling in multiple languages.

EN / ES / AR · real-time · Live

Full-duplex voice

End-to-end conversational voice that listens and speaks at once — natural, interruptible dialogue.

Real-time · low-latency · Live

Image & video

Generative image and short-form video capacity for media and creative workloads, spun up on demand.

Diffusion · on demand · Available
How the mesh works

Pooled, private, sovereign.

A single fabric that pools capacity, keeps inference private, and scales elastically — without ever leaving sovereign ground.

Pooled private inference

Capacity from across the fabric is pooled into one private engine. Your prompts and data are never used to train shared models and never leave the mesh.

EU + Gulf sovereign regions

Inference runs in EU and Gulf regions under our own control — EU data residency by default, with no dependence on US hyperscalers.

One gateway, one API

Every product talks to a single routed gateway. Pick a capability, not a provider — the gateway selects a live model and the nearest region for you.

Scales on demand

Heavier capabilities — flagship reasoning, vision, image and video — spin up capacity when demand arrives and release it when idle, so you pay for what you use.

What the mesh powers

From capability to product.

The same fabric powers everything Kawkav builds. Here is how mesh capabilities map to the products you can use today.

Chat · reasoning · function calling

Compact, balanced and flagship models with tool use.

AI Agents →
Speech ASR/TTS · full-duplex voice

Real-time, multilingual conversational voice.

Voice / PBX →
Arabic-native · private single-tenant

Sovereign models on customer-controlled terms.

Sovereign Models →
Vision-language · embeddings · RAG

Document, image and signal understanding at scale.

Media Intelligence →
Questions

The honest answers.

What am I looking at on the live monitor?

The real gateway — the same private mesh that runs every Kawkav AI product. Open it to watch capabilities light up and tokens route to live capacity across regions in real time.

Where does the mesh physically run?

In EU and Gulf regions under our own control, with EU data residency by default. There is no US hyperscaler underneath — the fabric stays on sovereign ground.

Do I pick a model or a provider?

Neither directly — you pick a capability. The single routed gateway selects a live model and the nearest sovereign region for you, and scales heavier capabilities up and down on demand.

Is my data used to train shared models?

No. Inference is pooled but private — your prompts and data are never used to train shared models and never leave the mesh.

How do I build on it?

Try the models in the playground at lab.kawkav.com, talk to a live voice agent, or wire the mesh into your own product through one gateway. Sovereign Models gives you the API key.

See it live

Watch the fabric route tokens.

Open the live monitor to see every capability serving in real time, or try the models yourself in the playground — one gateway, EU and Gulf regions, no hyperscaler underneath.

Pairs well with