Context is everything. We engineer it.

We engineer how your data, workflows, and tools connect to AI systems — so the agent acts with context, not guesses.

What We Do

Most AI projects fail because the assistant doesn't have the right context — it can’t access your knowledge base, systems, or workflows.

We solve that by building the context infrastructure that makes AI useful.

🔹 Context Engineering
– Structure and deliver static and dynamic context to LLMs
– Integrate RAG pipelines, memory logic, and tool schemas
– Define governance: compression, redaction, access rules

🔹 Systems Integration
– Connect your APIs, databases, and tools to the context pipeline
– Create secure middleware to manage flow and traceability
– Format outputs for Claude, ChatGPT, or open-source models

🔹 AI Assistant Deployment
– Design task-specific copilots for internal or public use
– Inject context at runtime, not just at build time
– Monitor, evaluate, and continuously improve performance

Our Services

  • Map your data sources, define memory scopes, and structure knowledge into usable AI-ready context.

    Ideal for: orgs starting their LLM journey.

  • Build context packs, RAG logic, and memory instructions for a first assistant.
    Ideal for: technical teams building AI products or copilots.

  • Build internal copilots and customer-facing bots that perform real work — from answering questions to automating tasks.

    Ideal for: departments ready for operational AI.

Meet the Team

We’re Context Engineers for the AI Era.

Most AI systems today fail not because of the model, but because of poor context. They don’t know your data, your rules, or your business.

We help companies design and build the context layer: the systems that feed AI models with the right information, memory, and logic.

Whether it’s connecting your documents, APIs, workflows, or customer data — we ensure your AI assistant responds like it truly knows your world.

It’s not prompt engineering anymore. It’s context engineering. And it changes everything.


  • Leading Studio GenAI as its CEO, Mohamed is an embodiment of innovation and a catalyst for change in the realm of artificial intelligence. His extensive experience has been pivotal in shaping his vision for AI's role in business transformation. At Studio GenAI, Mohamed's passion for AI and his keen insight into the digital challenges faced by small and medium enterprises drive our mission. His commitment to empowering businesses through AI extends beyond technological solutions to fostering a culture of continuous learning and professional development. Mohamed's leadership is grounded in a deep understanding of both the potential of AI and the practical needs of modern businesses, making him an invaluable leader in our journey to revolutionize business advisory with AI

  • As the Chief Technology Officer at Studio GenAI, Lassaad brings a wealth of experience in SaaS development and technical leadership. With a remarkable 20-year journey in software development, system integration, and project management, he has been instrumental in creating high-quality technology products. Lassaad's expertise lies in building secure, reliable, and scalable SaaS solutions, making him a perfect fit for our mission to develop innovative AI assistants for businesses. His success in leading a startup technology team to deliver an Insurtech SaaS platform and securing a $2M seed round demonstrates his ability to drive technological growth and innovation. At Studio GenAI, Lassaad's role is pivotal in shaping the backend development, system/data architecture, and the overall technological roadmap.He ensures that our AI solutions are built on a robust and cutting-edge platform. Lassaad's vision for Studio GenAI encompasses not just technological excellence but also a focus on project management, stakeholder engagement, and quality assurance, aligning seamlessly with our goal to redefine business advisory through AI.

Book a Free Consultation.

Let’s Engineer Your Context