SVC.001 · INTERNAL ASSISTANT
Internal assistant
Answers HR, legal or IT questions based on your internal policies, wikis and procedures.
RAGWIKIHR · IT
Conversational AI, agents and business chatbots
We design conversational agents and business chatbots connected to your real data — via RAG, CAG or structured knowledge bases. Precise answers, traceable, hostable on-premise.
01 · Typical use casesFour agent archetypes.
Four agent archetypes.
One shared stack.
An AI agent without access to the right data isn't worth much. Our approach places conversational AI at the centre of your information system: every agent is plugged into your documents, knowledge bases and business tools — not into hallucinations.
Depending on the nature of your data and your latency constraints, we choose between RAG (Retrieval-Augmented Generation), CAG (Cache-Augmented Generation) or targeted fine-tuning. Each architecture has its trade-offs; we explain them clearly before writing any code.
SVC.002 · CUSTOMER SUPPORT
Customer chatbot
Handles first-level support requests, qualifies tickets and intelligently escalates to a human agent.
TICKETSESCALATIONSLA
SVC.003 · SALES
Sales agent
Queries the CRM, summarises customer history and drafts personalised proposals or follow-ups.
CRMLEADSOUTREACH
SVC.004 · SEARCH
Cross-source search
Lets your teams query dozens of heterogeneous sources simultaneously (PDFs, SharePoint, SQL databases, archived emails) through a unified interface.
SHAREPOINTSQLEMAILS
02 · Our approachAudit, prototype, deployment.
Audit, prototype, deployment.
Measured at every step.
Step 01
Source audit
We start with an audit of your data sources: quality, format, freshness, sensitivity. This audit determines the most suitable architecture.
Step 02
Measurable prototype
We build a measurable prototype — every answer is evaluated against a reference question set before any production rollout.
Step 03
Deployment & monitoring
Final deployment includes a quality dashboard, drift alerts and a corpus update procedure.
03 · Stack & technical optionsOur reference
Our reference
on-premise stack.
// infrastructure
01
Optimised GPU inference
vLLM
High throughput, low latency, dynamic batching.
02
Vector database
Qdrant
High-performance semantic search, hybrid filtering.
03
Agent orchestration
LangGraph
Multi-step workflows, memory, guardrails.
// autonomous agents · open-source
On the model side, we work with both proprietary models (OpenAI, Anthropic) and open-weights models deployed locally, depending on your sovereignty constraints.
04 · FAQ
Frequently asked questions.
05 · Go further
Related services.
- AI AutomationLLM-powered automation: document processing, emails, reports, business workflows.
- AI ApplicationsTurnkey AI application development, model fine-tuning, cloud or on-premise integration.
- 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.