Artificial intelligence is becoming part of everyday business operations. But for many organizations, adopting AI is not simply about having access to a powerful chatbot. It is about data privacy, Arabic capabilities, integration with existing systems, organizational knowledge and control over where AI operates.
ChatEngine is designed around these requirements.
Developed by Engine AI in Oman, ChatEngine provides organizations with an AI platform that can be deployed locally, integrated with enterprise systems and adapted to the organization’s knowledge and workflows.
AI That Can Work Within Your Organization
With local deployment, ChatEngine can operate within an organization’s own infrastructure and network.
This provides organizations with greater control over their data, AI environment and integrations, particularly where information privacy and data sovereignty are important requirements.
ChatEngine can also be deployed through cloud infrastructure when local deployment is not required.
Built for Arabic
Arabic is more than translation.
Organizations across the region need AI that can understand and generate Arabic naturally while taking into account the context in which the language is used.
ChatEngine is designed to support natural Arabic interactions, including Arabic content generation and Arabic voice experiences with attention to local context and sentiment.
This makes it suitable for organizations where Arabic is part of everyday communication, documentation and customer interaction.
A 7 Billion Parameter Model That Can Scale
ChatEngine currently operates with a 7 billion parameter (7B) language model, with the ability to increase model size according to the organization’s requirements, expected workload and available computing infrastructure.
The model is only one part of the solution. ChatEngine combines the language model with an application layer designed for intelligent request routing, information retrieval, organizational knowledge and enterprise integrations.
Long Term Organizational Memory
One of the challenges with generic AI tools is that they do not automatically understand how an organization operates.
ChatEngine can provide long term organizational memory, allowing relevant organizational knowledge and information to be made available to the AI over time.
This can include internal documents, procedures, policies, knowledge bases and other approved sources.
The result is an AI assistant that can work with the organization’s knowledge rather than relying only on general information.
Connect AI to Existing Systems
AI becomes more useful when it can work with the systems employees already use.
ChatEngine can integrate with enterprise applications through APIs, including systems such as:
- ERP platforms
- CRM systems
- Odoo
- Internal applications
- Databases and knowledge systems
Depending on the integration, ChatEngine can retrieve information or support specific actions, subject to the permissions and capabilities of the connected system.
For local deployments, these integrations can be implemented within the organization’s internal network.
From Conversation to Action
ChatEngine is designed to support more than question and answer interactions.
For example, employees can use the chat to:
- Draft emails
- Prepare official letters
- Work with organizational information
- Retrieve information from connected systems
- Generate structured content
- Use predefined document templates
Organizations can also control elements of official document templates, including font type, font size and formatting, helping align generated content with internal standards.
Flexible Deployment
ChatEngine can be deployed according to the organization’s technical requirements.
Possible deployment options include:
On premise:
Run ChatEngine within the organization’s own infrastructure and network.
Dedicated server:
Deploy ChatEngine on dedicated computing infrastructure based on expected usage.
Cloud:
Use cloud infrastructure where local deployment is not required.
Laptop or local machine:
For testing, development or specific use cases, ChatEngine can also operate on suitable local hardware.
The final infrastructure requirements depend on factors such as the number of concurrent users, model size and expected workload. For larger deployments, a dedicated GPU with 24–32GB of VRAM, 64GB or more of RAM, a modern processor and fast SSD storage may be appropriate, with the final specification determined by the deployment requirements.
More Than a Chat Interface
ChatEngine is not designed simply as a chat interface placed on top of a language model.
It is an integrated AI platform combining:
Language models + intelligent routing + information retrieval + organizational knowledge + enterprise integrations + flexible deployment.
This approach allows organizations to build AI around their actual working environment.
AI Closer to the Work
The future of enterprise AI is not only about asking better questions.
It is about enabling AI to understand the organization, work with its systems, communicate naturally with its people and operate within the environment required by the organization.
ChatEngine brings these capabilities together in one platform, with local deployment, Arabic capabilities and enterprise integration at its core.
ChatEngine. Built closer to your work.