From experiments to production
Convert promising pilots into reliable operational systems.
Enterprise AI • Infrastructure • Integration
AI you can build on. Infrastructure you can trust.
EXZAI helps organizations design, deploy and operate private AI, enterprise assistants, automation and GPU infrastructure — from Abidjan to the wider African market.
On-premises • Private cloud • Hybrid AI
Enterprise AI needs more than a model.
Real-world AI requires data integration, infrastructure, access controls and people who can keep everything running. EXZAI brings these disciplines together.
Control your AI environment
Choose where models run and how data is handled.
Make technology work for teams
Integrate assistants and workflows into everyday business operations.
One partner. Five capabilities.
A practical end-to-end approach to enterprise AI.
EXZAI Solutions
Private AI assistants, RAG knowledge platforms, automation and business system integration.
Explore SolutionsEXZAI Infrastructure
DGX systems, GPU workstations, servers, clusters, storage and AI deployment architecture.
Explore InfrastructureEXZAI Cloud
Dedicated AI environments, managed inference and scalable deployment options.
Explore CloudEXZAI Managed Services
Monitoring, security, optimization, support and operational continuity.
Explore Managed ServicesEXZAI Academy
Executive workshops, IT training and practical AI enablement.
Explore AcademyYour data. Your deployment choices.
Run AI on your own servers, in a dedicated environment or in a carefully designed hybrid architecture. EXZAI helps you choose the right combination of model performance, governance, cost and operational control.
On-premises
AI on your own infrastructure
For sensitive workloads, internal network access and customer-owned hardware. Security and data residency depend on configuration and controls.
Private cloud
A dedicated, managed environment
Managed isolated infrastructure with less hardware for your team to operate. Hosting location and contractual terms are specified for each engagement.
Hybrid
Private data, selective external compute
Keep private data operations in your environment and use external compute or APIs where appropriate. Requires a data-flow map and review of cross-border considerations.
Edge & desktop
Local AI for teams and edge sites
For developer teams, local prototyping and disconnected or edge needs. Capacity depends on the chosen machine and model.
Practical AI for real business workflows.
AI for company knowledge
Ask questions across approved documents and retrieve cited answers.
AI agents and automation
Reduce repetitive work with controlled tools and human approvals.
AI customer and employee support
Give teams faster access to relevant policies, procedures and information.
Document intelligence
Extract, classify and organize information from business documents.
AI API integration
Connect model capabilities to authorised business applications.
Custom enterprise AI
Build interfaces and services shaped around your workflow.
What this looks like in practice
Internal knowledge assistant
Turn internal policies, manuals and technical documentation into a searchable AI workspace, with source references and permission-aware design.
Private AI deployment
Give employees access to an AI assistant on infrastructure aligned with your security, governance and data-handling requirements.
GPU-to-production delivery
Move from a GPU workstation or DGX Spark development environment to a managed production inference service with monitoring and support.
EXZAI Infrastructure
The compute behind your intelligence.
From compact development systems such as NVIDIA DGX Spark to GPU servers and larger AI architectures, EXZAI helps specify and integrate the infrastructure your workloads actually need.
DGX Spark
Compact development system for local AI workflows and experimentation.
Learn moreDGX Station
Larger deskside AI capacity for shared team workloads.
GPU servers
Shared platforms for enterprise inference and model development.
Learn moreAI clusters
Scaled compute with high-speed networking, scheduling and storage.
Product specifications, commercial availability and configurations subject to confirmation.
AI for industries that keep economies moving.
Design use cases around the people, data and operating conditions of your sector.
From first assessment to daily operations.
We prioritize measurable use cases, a clear technical architecture, responsible deployment and long-term maintainability.
- 01
Discover
Business outcomes, data landscape, constraints and target users.
- 02
Design
Architecture, model selection, security approach, total cost and pilot metrics.
- 03
Pilot
A narrow proof of value measured against agreed evaluation criteria.
- 04
Deploy
Production infrastructure, integrations, access, tests and documentation.
- 05
Operate
Monitoring, updates, support and optimization.
- 06
Enable
Administrator training, user adoption and ongoing improvement.
Built for technical depth. Focused on business value.
- End-to-end delivery: software, infrastructure and operations.
- Deployment flexibility: on-premises, hosted or hybrid.
- Open technologies with enterprise engineering discipline.
- Regional focus with bilingual commercial engagement.
- Practical knowledge transfer and long-term support options.
Frequently asked questions
Can we run AI without sending our company documents to a public chatbot?
Yes, depending on your use case. EXZAI can design on-premises, private or controlled hybrid deployments. We document where data is processed and which components have external access.
What is the difference between local AI and cloud AI?
Local AI runs models on hardware you control, on your premises or in a dedicated environment. Cloud AI relies on a provider's shared infrastructure or APIs. The right choice depends on data sensitivity, workload, budget and the operational effort you want to take on.
Can EXZAI integrate AI with our existing software?
Often, yes. We review the available APIs, access permissions and business processes to design integrations appropriate to your environment.
Do we need to buy our own GPU hardware?
Not necessarily. We assess whether you need dedicated on-premises compute, a hosted environment or a hybrid setup based on workload, privacy and budget.
Can we start with a small pilot before investing heavily?
Yes. Projects typically begin with a discovery discussion, a feasibility assessment and a scoped proposal, and can start with a pilot measured against agreed criteria before full deployment.
Does EXZAI provide post-deployment maintenance and training?
EXZAI plans ongoing administration, monitoring, security, optimization and training under a separately defined scope and support agreement.
What is RAG?
Retrieval-augmented generation allows an AI application to retrieve relevant information from an approved knowledge source before generating an answer. It needs careful permissions, quality evaluation and monitoring.
Ready to make AI work for your organization?
Tell us what you want to build. We will help define a practical technical and commercial path.