SVC.001 · INTERNAL TOOLS
Internal business tools
Quote generation, technical writing assistant, contract analysis or document due diligence tool — tailored to your process.
QUOTESCONTRACTSFORMS
Custom AI applications
We build your AI application end-to-end — from UX to inference. Internal business tools, customer apps, augmented dashboards, model fine-tuning. Delivered on cloud or on-premise.
01 · Typical use casesFour application families.
Four application families.
One shared cycle.
A custom AI application is built around your business, not around a generic template. We start from your use case, design the user experience, then integrate the right model(s) — without over-engineering and without forced lock-in to a cloud vendor.
Development follows a short iterative cycle: prototype in two weeks, user feedback, model or prompt tuning, then progressive scale-up. Every deliverable ships with technical documentation and a maintenance procedure.
SVC.002 · CUSTOMER APPS
Augmented customer applications
Customer portal with personalised recommendations, semantic search over your products or services — UX designed for your users.
UXSEMANTICRECO
SVC.003 · DASHBOARDS
Augmented dashboards
Dashboards that interpret data in natural language, detect anomalies and generate contextualised alerts.
NLPALERTSBI
SVC.004 · DOC PIPELINES
Document processing pipelines
Ingestion, classification, extraction and automatic routing of high-volume document flows — from incoming PDF to structured data.
INGESTCLASSIFYEXTRACT
02 · Our approachUX first, AI second.
UX first, AI second.
Iterated, measured, shipped.
Before writing a single line of model code, we prototype the interface and validate it with future users. AI is then integrated in layers — prompt engineering, RAG, fine-tuning — until the required quality bar is reached. This approach avoids over-engineering a solution for a need that could have been solved with a good prompt.
Step 01
UX & prototyping
We start from your use case and design the interface first. A clickable prototype is validated with target users within two weeks.
Step 02
AI layers
Intelligence is added in successive layers — prompt engineering, RAG, fine-tuning — only when the need justifies it. No gratuitous complexity.
Step 03
Iteration & delivery
User feedback, adjustments, progressive scale-up. Every deliverable includes technical documentation and a maintenance procedure.
03 · Stack & technologiesOur reference
Our reference
application stack.
// application stack
01
Web & mobile front-end
Next.js · React Native
App Router, RSC, static build, or React Native for native mobile.
02
Back-end & API
FastAPI · Node
Python (FastAPI) or TypeScript (Node) — based on your team and your needs.
03
Optimised GPU inference
vLLM
Open-weights models deployed locally, high throughput, low latency.
// data layer
04
Relational & vector store
PostgreSQL + pgvector
A single database for your business data and your embeddings — simple to operate.
05
Dedicated vector store
Qdrant
High-performance semantic search at scale, hybrid filtering.
On the model side, we work with OpenAI and Anthropic or with open-weights models deployed via vLLM. Cloud infrastructure (AWS, Azure, GCP) or on-premise deployment depending on your sovereignty constraints.
04 · FAQ
Frequently asked questions.
05 · Go further
Related services.
- AI AgentsConversational agents and business chatbots connected to your data — RAG, CAG, knowledge bases.
- MLOps & deploymentPipelines, monitoring, fine-tuning, hosting — your models in production, reliably.
- Sovereign AIYour data stays in Switzerland. Your models run at your place. Open-weights LLM, on-premise GPU, nLPD compliance.
Reply within 24 business hoursGot a use case in mind?
Got a use case in mind?
Let's talk.
Costed audit, measurable prototype, sovereign deployment. No sales middleman — you speak directly to a member of the technical team.
For companies based in Lausanne (Vaud), Geneva, Neuchâtel, Fribourg, Jura and Valais. Learn more about our AI agency.