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MISRAJAI
What we believe

Arabic-first by design. Built for the language, not translated into it.

Developer Platform

Build with Arabic AI, from API to pipeline

Misraj's capabilities, inside your product.

What it does

What developers get

Model access, usage and billing in one account, and a visual builder for the pipelines on top.

One account for the model suite

One integration point for Kawn Lab's Arabic models, instead of a separate account, keys and billing per model.

Usage you can see

Token use and request volume are tracked as you go, with team permissions and billing managed in the same place.

Pipelines built visually

In Seamless API you connect nodes for transformation, routing and processing instead of writing glue code.

Arabic parsing and RAG built in

Baseer runs as a node that turns Arabic scans into Markdown, and the RAG setups come tuned for Arabic retrieval.

Operational outcomes

What changes for the team

What changes once the models and the plumbing are already in place.

From trying a model to shipping it

The account behind the first test calls the same models in production, from pay-as-you-go to enterprise.

Retrieval is not rebuilt for every project

Teams start from Arabic RAG setups that already exist rather than wiring retrieval from scratch each time.

Approaches compared before committing

Swap an LLM, embedding model or chunking strategy without breaking the setup, and branch the canvas to compare.

Products

Delivered by Kawn Console and Seamless API

Kawn Console puts the whole Arabic model suite behind one account; Seamless API lets your team build Arabic AI pipelines visually rather than from raw APIs.

  • Cloud API
  • Visual builder
  • On-premises models

How developers use it

Call the models through the Kawn Console API, build pipelines in Seamless API, and run models on-premises.

  • Cloud APIKeys, usage and billing at dashboard.kawn.ai, with every model called through one integration point.
  • Visual builderSeamless API at seamlessapi.com, for pipelines built from nodes, not raw APIs.
  • On-premises modelsBaseer, Mutarjim, Sadeed and the Kawn-Embed family can also run on-premises for data sovereignty.
Proof from across the sectors

Proof from across the sectors

Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.

A national statistics authority · Customer case study

Read the case study

Why build on this rather than raw APIs

Kawn Console gives developers API access to Kawn Lab's Arabic models, among them Baseer, Mutarjim, Sadeed and the Kawn-Embed family, from one account, with usage, team permissions and billing in one place. Seamless API is a visual, node-based builder for AI pipelines, with Baseer parsing and ready-made Arabic RAG setups built in.

Models built for Arabic

The APIs reach Kawn Lab's own Arabic models: Baseer, Mutarjim, Sadeed and the Kawn-Embed family.

Arabic inside the tools

Arabic support in Seamless API is built in from the ground up rather than bolted on, from document parsing to retrieval.

One path from prototype to production

Kawn Console handles the infrastructure and Seamless API supplies the pipeline pieces, so the work goes into the product.

Get started

Deploy Developer Platform

Tell us the problem. We will tell you honestly whether this is the right answer, and what it takes to deploy.

Developer Platform | Misraj AI