Production AI requires strict engineering rigor.
We are an advanced software engineering firm. We design and deploy robust, predictable AI systems for SMBs and mid-market companies.
Total Observability
Every LLM call is measured and traced. We monitor latency and response quality in real time.
Data Sovereignty
Your data is your competitive advantage. We prioritize open-source models deployed on your infrastructure or a sovereign cloud.
Cost Control
You get full visibility into costs. From the audit phase, we provide a detailed projection of infrastructure and inference costs (LLM FinOps).
Technical Audit & Feasibility (48h)
Before any code is written, we conduct a strict mapping of your business processes and data assets, to identify the documentary or analytical bottleneck where AI will bring an immediate and measurable ROI. We exclude cosmetic use cases.
We analyze your data quality and evaluate security constraints (GDPR, SecNumCloud), before choosing the right foundation models (local open-source LLMs vs external APIs).
Key Deliverables
- Technical feasibility matrix
- Inference cost estimation (to the cent)
- Target architecture and tech stack
Proof of Concept (2 to 4 weeks)
We develop your AI agent or RAG pipeline iteratively and connect it to a representative sample of your real data. We build the foundation of your future production application, with real prompt engineering and embedding tests.
We refine chunking pipelines and optimize vector search (Hybrid Search), with initial guardrails to prevent hallucinations.
Key Deliverables
- Functional prototype (Private workshop)
- Quality test bench (Evaluation Framework)
- Performance validation (Latency)
Production & Deployment
We scale up by deploying the architecture on your cloud or on-premise infrastructure. We secure data flows and integrate the tool directly into your employees' interfaces (ERP, CRM, Intranet).
We set up LLM observability: every generated token is traced and evaluated. Real-time alerts flag model drift or costs.
Key Deliverables
- Infrastructure as Code (Terraform, Docker)
- LLM observability dashboards
- IT team training
No commitment · 24h response time
