Custom
We build AI solutions adapted to your data, tools and hosting constraints, using a progressive implementation approach.
Ideal for
What we integrate
Capability
Ollama can run open-source models locally or in private infrastructure.
Our support
Machine sizing, model selection, secure installation and baseline supervision.
Expected impact
Stronger data control and more predictable costs.
Capability
Rich open-source ecosystem (Llama, Mistral, Qwen, etc.) depending on quality, latency and budget needs.
Our support
Targeted benchmarks on your real cases, followed by a narrow portfolio of useful models.
Expected impact
Relevant performance without unnecessary technical overhead.
Capability
Open-source stacks can query your internal documents with context.
Our support
Document pipeline for ingestion, cleaning, segmentation and access permissions to support reliable answers.
Expected impact
Less time spent searching for information across teams.
Capability
Orchestrators such as n8n or API services can trigger useful AI workflows.
Our support
Robust flow design for recurring cases: customer support, proposal preparation, quality control.
Expected impact
Fewer repetitive manual tasks and better operational cadence.
Capability
The stack can run in your environments: private cloud, internal server or hybrid architecture.
Our support
Progressive deployment plan, monitoring, backups and simple recovery procedure.
Expected impact
Service continuity aligned with your IT constraints.
Capability
Open-source components leave fine-grained control over access, logs and usage rules.
Our support
Access policy, logging and a lightweight steering group focused on business decisions.
Expected impact
Durable adoption without losing control.
Capability
The stack can be instrumented to measure latency, response quality and inference costs.
Our support
Simple KPI dashboard for leadership: volume, time saved, incidents, cost per use.
Expected impact
Clear visibility on return on investment.
Deployment plan
Analysis of technical, legal and organizational constraints.
POC on a priority business case with real data.
Security hardening, supervision, documentation and team handover.
Optimization of models and processes based on observed usage.
Key deliverables
Positioning
We aim for realistic adoption: useful use cases, simple governance, and measurable gains from the first weeks.