AGENTIC AI · QWEN OPEN MODELS

Agentic AI that works on your data, not in the cloud.

Datamisbar AI runs open-source Qwen models on infrastructure you control — autonomous agents that clean, query, and reason over your datasets while every byte stays in-house.

Qwen
Open-source model family
0
Bytes sent to the cloud
AR/EN
Bilingual by default
agent · qwen (self-hosted) RUNNING
you ▸
Find customers with invalid mobile numbers and fix the ones you safely can.
agent ▸
→ scanning column mobile · 48,210 rows
→ 312 invalid · 271 auto-repairable
Normalized 271 numbers to 05XXXXXXXX. 41 flagged for review.
you ▸
Draft a summary for the data owner.
on-prem · no data leaves your network 4 tools used
Open by Design مفتوح المصدر

Your data, your model, your hardware

Datamisbar AI is built on the open-source Qwen family — so the intelligence runs where your data already lives, with no per-token bill and no cloud round-trip.

Stays in-house

Models run on your own servers or private cloud. Sensitive records never leave your network — a fit for regulated and government data.

ع

Arabic-native

Qwen models handle Arabic and English fluently, so agents reason over bilingual datasets and RTL content without a translation layer.

No token bills

Open weights mean fixed infrastructure cost instead of usage-metered API fees — predictable at any scale.

Tuned to your work

Adapt models to your domain, terminology, and quality rules rather than accepting a generic hosted assistant.

Agentic Workflows المهام الذكية

Agents that act on your data, not just chat about it

Ask in plain language

Query datasets conversationally in Arabic or English — the agent writes and runs the analysis, then explains the result.

Autonomous cleaning

Point an agent at a messy column and let it detect issues, propose fixes, and apply the safe ones under your guardrails.

Document understanding

Read PDFs, forms, and scans, pull out the fields that matter, and turn them into structured rows.

Report drafting

Generate summaries, data-quality write-ups, and handover notes straight from the numbers.

Anomaly triage

Surface outliers and suspicious records, rank them by risk, and route them for review.

Tool use over Misbar

Agents call the Misbar cleaning, validation, and scoring engines directly to get real work done.

Deployment التشغيل

From zero to working agents

A path designed for teams that need control and auditability at every step.

Deploy privately

Stand the Qwen model up on your hardware or private cloud — sized to your workload.

Connect your data

Give agents scoped access to the datasets, files, and Misbar engines they need.

Set the guardrails

Define what an agent may change automatically and what always needs a human sign-off.

Ship & observe

Put agents to work, with every action logged so you can audit exactly what happened.

Bring agentic AI to your own data.

Deploy open-source Qwen models privately, wire them into the Misbar engines, and let agents do the repetitive data work — without your records ever leaving your network.

Request access