Delta-SL is the independent applied AI practice of Antoine Meyniel, an engineer working with clients in Paris and remotely. Since 2021, he has built and shipped backend and large language model systems, with a focus on document retrieval and agentic systems that carry out multi-step work. His services span the full lifecycle: assessing feasibility and costs, defining measurable acceptance criteria, and creating disposable prototypes to answer specific questions before a larger commitment.

For projects that proceed, he builds and deploys systems, primarily in Python, on infrastructure clients own and he operates. He also develops evaluation harnesses based on real user questions, helping teams track answer quality consistently. Ongoing support includes operating infrastructure, maintaining usable data, monitoring costs and quality, and identifying issues before they disrupt service.

Meyniel also advises on architecture, weighing what is ready to build on against likely change over the next 12 to 18 months. His approach emphasizes evidence, traceable answers, clear limits, and practical decisions about what should—and should not—be built