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Enterprise AI
DIJ—LABS/HOME

A complete lifecycle for enterprise AI.

From choosing and evaluating the model, to knowledge, customization and hosting, to the gateway and managed operations — in clear steps, with a decision for you at every stage.

(01) Lifecycle

Five stages. A decision at each one.

  1. 01

    Discovery

    Use cases, data classification, success criteria and a confidentiality agreement.

  2. 02

    Model evaluation and comparison

    Quality, latency, cost and privacy tests, and a report on the shortlisted models — comparing hosted APIs with self-hosting.

  3. 03

    Knowledge and customization

    RAG or model customization, with document permissions and evaluation — and we pick the simplest approach that delivers accuracy and privacy.

  4. 04

    Deployment and production

    Gateway, security, isolated hosting, backup and failover when agreed.

  5. 05

    Managed operations

    Follow model quality, performance and cost, and handle incidents under a service agreement.

(02) Services

Services built around your need.

We state each service's status and readiness before you sign.

Unified API

A unified interface and credits

One unified access point for multiple models, with keys and a usage dashboard.

BYOK

Your own keys

Connect your own keys at the provider, and we manage the limits, policies and monitoring.

Team control

Team control

Workspaces, budgets, permissions, limits and spend reports.

Model assessment

Model evaluation and selection

A documented comparison so you pick the best fit for your case, including Arabic.

Knowledge AI / RAG

Knowledge AI

Indexing, retrieval and evaluation with document permissions.

Customization

Model customization

Data preparation, training and evaluation, with the ability to roll back.

Private hosting

Private hosting

Deploy a model with isolation and monitoring, depending on size and available resources.

Enterprise gateway

Enterprise gateway

Dedicated endpoints, policies and an API lifecycle.

Agent / MCP governance

Agent governance

Tool permissions and audit logs — in stages.

Managed AI ops

AI operations

Monitor quality, drift and cost, and respond to incidents.

(03) Transparency

What we say plainly.

Data

Data path

We don't guarantee data stays inside Iraq if it passes through an external provider. We explain the path before you start.

Hardware

Resources

Hosting large models needs suitable GPUs, and we don't promise what we haven't tested.

Tell us about your use case and we'll suggest a path.
Contact usDetails, availability and pricing — when you get in touch.