A private AI server connected to business workflow modules

Local AI infrastructure · Built for Africa

Powerful, enterprise-ready AI: deployed inside your company.

Access Intelligence designs, installs, and supports local AI infrastructure for businesses across Africa, providing reliable access when internet connectivity is limited or cloud AI becomes expensive at scale.

System designOn-prem infrastructureEmployee trainingOngoing support

What we deliver

Zero-to-one AI deployments.

One accountable partner: from the first workflow assessment to the systems your team uses every day.

01

Assessment and system design

We evaluate your workflows, users, connectivity, facilities, security requirements, and expected growth.

02

On-site AI deployment

We procure, configure, deliver, and install the hardware, models, employee interface, networking, and remote-management systems.

03

Applications and integration

We connect AI to company documents and workflows or build internal applications around specific business processes.

04

Training and ongoing support

We train employees and administrators, monitor the deployment, troubleshoot issues, and plan future upgrades.

05

Make the economics work

Flexible financing

Payment plans may be available for qualifying deployments.

Discuss your deployment

Client case study · Cameroon

PleinGaz: powerful AI for every employee, without paying per seat.

Location
Yaoundé, Cameroon
Company
Energy & LPG
Employees
Approximately 200
Established
2015
30+

employees onboarded

One private AI deployment now supports software development, research, internal applications, document work, and marketing.

Coding Research Marketing

AI had proven its value, but access could not scale.

Three PleinGaz developers relied on individual cloud AI licenses, but regularly hit usage limits. Expanding access company-wide would multiply subscription costs, while unreliable internet interrupted large projects and sometimes caused work to be lost.

We saw the power of AI, but individual licenses would cost thousands of dollars a year, and we constantly ran into credit usage limits. Access Intelligence gave our programming, marketing, accounting, and sales teams an affordable way to use powerful AI without limits.

Blanchard Kenfack Sr.CEO & Co-Founder, PleinGaz

Private, company-wide AI: installed and supported on-site.

Access Intelligence delivered a private AI server for 30+ corporate employees, then provided hands-on training, AI governance guidance, ongoing technical support, and a path toward agents grounded in company documents.

The deployment was seamless. The team delivered white-glove service, including on-site deployment and training, all in a matter of days. Post-deployment, they were available at any time to answer our questions.

Salifou MfambouInternal Audit Control, PleinGaz

Why on-site AI?

Scale capability, not recurring cost.

Infrastructure designed around the economic, connectivity, and security realities of your organization.

Predictable cost

Cloud subscriptions and API charges increase as usage grows. Local infrastructure provides dedicated capacity without vendor-imposed per-message charges or per-user usage caps.

We model expected three- and five-year costs against your current cloud spending.

Reliable access

Keep essential AI tools available during internet disruptions and size capacity around your organization’s actual users and workflows.

Built around the realities of your connectivity, facilities, and team.

Company-controlled data

Keep sensitive company information within infrastructure you control, with company-managed accounts, permissions, and usage policies.

Your infrastructure. Your access policies. Your operational visibility.

Open models, real work

Can locally deployed AI compete with leading cloud models?

The simple answer? Yes.

Modern open-weight models can perform coding, document analysis, research, office automation, and internal knowledge work on company-owned hardware.

We test each customer’s workflows before recommending a model. We also design a hybrid approach when both local and cloud AI are appropriate.

How deployment works

From first conversation to daily operations.

01

Assess

We evaluate your workflows, users, connectivity, facilities, and security requirements.

02

Design

We recommend the hardware, model, software, financing, and support configuration.

03

Deploy

We install the system on-site and train your employees and administrators.

04

Operate

We monitor, support, and upgrade the deployment as your requirements evolve.

About the team

Infrastructure fluency meets hands-on delivery.

Commercial strategy, technical architecture, and customer deployment under one roof.

Co-Founder & CEO

Blanchard Kenfack

Blanchard leads commercial strategy, customer development, and AI infrastructure economics. His background spans enterprise sales, AI inference infrastructure, and cloud software. He studied business and data science at the University of California, Berkeley.

Co-Founder & CTO

Michael Crandall

Michael leads software architecture, AI integration, infrastructure automation, and technical delivery. He has built full-stack systems across business operations, robotics, financial technology, and educational accessibility.

Start with an assessment

Discover what locally deployed AI could unlock for your business.

Show us how your team works, and we’ll show you where an on-premise deployment can make the biggest difference. We’ll assess your workflows, connectivity, and current AI costs, then identify the fastest path to secure, reliable AI for your entire organization.

Schedule a free deployment assessment