Integrate AI at the core of your enterprise
Not scattered POCs: a single, governed AI foundation you own — memory, context, RAG on your data, integrations and guardrails. Built for production.
From scoping to production
An AI Core is built like a product: in stages, tested, deployed — not a demo that collapses.
One foundation, six building blocks
A single governed foundation your AI use cases plug into — instead of isolated POCs.
Memory
Multi-level memory: your assistants retain context far beyond the model's context window.
Context
The right information at every step: compaction, persistence, caching.
RAG
Vector + BM25, reranking, cited sources. On YOUR documents.
Integration
ERP, CRM, databases connected via MCP, with authentication.
Evaluation
Faithfulness, costs, latency measured. Traceability and audit log.
Models
Switch between proprietary and open-weight models based on cost — without rewriting your applications.
Your data goes in, intelligence comes out
The Enterprise AI Core sits between your sources and your use cases — it orchestrates, without your data escaping your control.
Useful AI is built — not bought off the shelf.
POCs impress in demos then collapse in production. An Enterprise AI Core is the opposite: a governed, measurable foundation you own. Models change every quarter — your foundation stays.
The problem isn't the model. It's its memory.
An assistant that relearns your context on every exchange isn't a product — it's a demo. We design the memory, context and governance that take AI from POC to a reliable business tool.
It forgets nothing
Your decisions, your preferences, yesterday's context: everything stays. The AI picks up where you left off, not from scratch (long-term, multi-tier memory).
It searches before it answers
Rather than making things up, it retrieves the right information from your documents — by keywords and by meaning (hybrid RAG).
It keeps what's relevant
A second pass re-ranks what comes up to keep only the essential: fewer off-target answers (reranking).
It connects your knowledge
Clients, contracts, projects: your data is linked together to answer questions that span multiple sources (knowledge graph).
It keeps the big picture
We compose precisely what it sees on every request — relevant even at scale (context engineering).
It also knows how to forget
Data retention, access rights, GDPR right to erasure: the memory stays under your control (governance).
How do you give an enterprise AI a durable memory?
By architecting six building blocks: multi-tier persistent memory, hybrid retrieval (RAG), reranking, a knowledge graph, context engineering and data governance. This is the core of MyoApp's craft — an AI development agency in La Rochelle, France, with over 25 years in the trade.
AI is 10% algorithms
The 10-20-70 rule (popularised by BCG): the value of an AI project comes mostly from people and processes — not the tool.
AI models and technologies.
Infrastructure and data.
The people, the use cases, the culture — where everything plays out, and where we work with you.
"Choosing the right AI tool is 10% of the work. Adopting it, deploying it, making it live: that's the rest of the journey — which we take together, whether or not you have a technical team."
From assessment to operations
A scoped engagement, validated step by step, with humans keeping control.
Assessment
Use cases, data, systems. We prioritise the highest-impact scenarios.
Design
Foundation architecture: memory, context, RAG, MCP, governance.
Build
The foundation + 1-2 concrete pilots. Auditable code — you own it.
Evaluation
Evaluation harness and guardrails validated before going live.
Operations
Observability, monitoring and ongoing optimisation over time.
What you gain
Beyond the technology, results your teams see every day.
Reliable answers
Grounded in your documents, with cited sources and guardrails. Fewer hallucinations, more confidence.
Controlled costs
Optimised context, caching, model switching based on cost. You pay for value, not waste.
Zero vendor lock-in
Memory, context and governance belong to you. No black box, no vendor lock-in.
What people ask us most
If your question isn't here, we'll answer it directly.
What is an Enterprise AI Core?
A central AI foundation you own: it memorises, contextualises and orchestrates AI across your tools and data. Rather than scattered POCs, a single governed foundation your use cases plug into.
How is this different from a POC or a chatbot?
A POC impresses in a demo then collapses in production. The Enterprise AI Core is the opposite: managed memory and context, sourced responses (RAG), evaluation and guardrails, traceability — built to last in production.
Does our data stay confidential?
Yes. Your data remains yours: controlled hosting, access management, GDPR compliance and an audit log. AI works on your documents without exposing them to uncontrolled third parties.
What happens when models evolve?
Models change every quarter; your Enterprise AI Core stays. Switching between proprietary and open-weight models requires no rewrite of your applications — memory, context and governance belong to you.
Ready to lay your AI foundation?
We start with an assessment: the highest-impact use cases, no commitment. We listen, we advise, we build.
Start with an AI Assessment