AI SERVICES · EMENA
From applied AI to enterprise transformation.
Neopolis Development is expanding its AI services for Europe, the Middle East and North Africa. Our ambition brings together software engineering, insurance expertise and talent development to turn AI into useful, measurable business capabilities.
Our foundations
Open-source voice technology, machine learning and insurance processes.
Our present
Neopolis Akademy develops skills. Shadrap brings a connected-health ambition to life.
Our direction
Build, test and scale AI services with the people who understand the work.
A foundation built over time
Open source and domain expertise.
Our AI work predates the current wave of generative tools. Neopolis has contributed to Mozilla’s open-source voice-technology projects, exploring speech recognition and natural-language processing for business applications. The video below preserves a record of that collaboration.
Watch the Mozilla collaboration video on YouTube
Machine learning applied to insurance
Our experience also includes models developed around fraud detection and risk profiling. These applications require careful work on data, signals and model evaluation. A score helps prioritize analysis; it does not replace the insurance professional’s judgment or turn an anomaly into proof.
This foundation connects naturally with our CRM and BPM expertise and our AI and deep-learning services: a useful model needs a dependable process around it.
Learn. Build. Connect.
Neopolis Akademy
Skills that connect AI to real work.
Akademy offers AI learning paths organized around professional roles: data, engineering, architecture, delivery and governance. The goal is to help learners understand tools, build practical projects and evaluate their results.
Shadrap
Connected care as a field of innovation.
Shadrap presents a telemedicine-cabin concept combining connected instruments, remote consultations and AI assistance. It expresses our ambition to bring engineering closer to access-to-care challenges, with medical professionals central to the care pathway.
The next chapter
From a pilot to a service people can rely on.
With Shadrap, our direction is progressive development: assess the field context, validate the technical and clinical requirements with the relevant partners, learn from pilots and expand when the conditions are met. The public roadmap sets out the planned stages that will guide this development.
Explore Shadrap’s roadmap · Data and infrastructure approach
Build your next AI capability with Neopolis.
Start with a business problem, an accountable team and a measurable objective. We connect data, software and domain expertise to move from an idea to a working process.
Partnerships & delivery capacity
People, partners and infrastructure to take projects into production.
People who can deliver
A team of 40, supported by a network of more than 100 experts available to mobilize according to project needs.
Redundant data infrastructure
15 bare-metal servers distributed across 3 separate data centers form our redundant data infrastructure.
Local partners, international reach
- EuropeParis
- AfricaTunis · Casablanca · Abidjan · Dakar
- AsiaManama · Shenzhen
A deployment method from scope to operations
- ScopeBusiness priorities, data and success criteria.
- ValidatePrototype, test and assess with domain experts.
- DeployIntegrate progressively into business processes.
- OperateMonitor, support users and improve continuously.
From an impressive demo to useful everyday AI.
AI adoption goes beyond choosing a model. It requires accessible data, a clear scope of action and people who can assess the quality of the output. We distinguish document assistance, prediction and automated action: each use case needs its own tests, access permissions and approval steps. Business expertise helps identify the exceptions that demonstrations often overlook.
