AI & Machine Learning Systems
RAG pipelines, vector search with CLIP embeddings, document understanding, computer vision, LLM orchestration. Production deployments — not notebooks.
W-Enterprises is an AI/ML and full-stack engineering practice. We design and deliver production-quality software for clients who need work that ships — engineered with the rigour that comes from over a decade in the field, on compressed timelines, using modern serverless architectures.
RAG pipelines, vector search with CLIP embeddings, document understanding, computer vision, LLM orchestration. Production deployments — not notebooks.
Type-safe applications on Next.js, React, Vue, Node, .NET and Go. Serverless-first deployments on Vercel, Cloudflare, Firebase. Speed without sacrificing correctness.
Multi-tenant architectures, subscription billing, identity, admin tooling, regional payment integrations. End-to-end from specification to production within compressed delivery windows.
Solution architecture, PRDs, technical specifications, requirements traceability. The formal paperwork that lets serious engagements move forward with confidence on both sides.
No account managers. No project handoffs. The person you brief is the person who writes the code, designs the architecture, and ships the system.
Every deliverable lands in production with monitoring, observability, security review and CI in place — not a demo on a developer's laptop.
Every engagement comes with formal proposals, specifications, and traceable requirements. The client always knows what they're paying for and when it will be delivered.
Out-of-scope items are named explicitly upfront. Change requests are quoted separately. No surprise invoices, no scope creep on the engineering side.
Production-grade work calls for production-grade tools. The stack below reflects what we've shipped — not what's been touched in a tutorial. Senior decisions on which technology fits which problem are part of every engagement.
W-Enterprises is led by Wayne Fourie, a senior engineer with over a decade of production experience across AI/ML systems, full-stack web applications, and embedded middleware.
Recent engagements span AI-powered document parsing platforms, trademark similarity engines using CLIP embeddings and pgvector, reverse-engineered IoT camera middleware, and multi-tenant SaaS deployments for the Saudi Arabian HR-tech market.
The practice is small by design. The trade is between scale and rigour, and we choose rigour every time.
The practice takes on a limited number of engagements concurrently. If your project is a strong fit, you'll have a response within one working day. Briefly: what you're building, when it needs to ship, and what success looks like.