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AI Agents & Intelligent Systems

Agents that understand business context, use the right tools and stay under control.

agent.run
00/06
Typical architecture of a production agent: every step is observable and controlled.
01

Specialized conversational agents

An agent that masters a specific domain and reliably answers customers or teams.

02

Internal company assistants

An assistant that knows internal procedures and documents, honoring access rights.

03

Tool and API-using agents

Agents that act: query a system, open a ticket, draft a document, under control.

04

Document search and exploitation (RAG)

Query document bases in natural language with cited sources.

05

Business process automation

Pipelines combining AI and business rules to cut repetitive work.

06

Agents connected to databases and applications

Agents able to read and use data from existing systems.

07

Information processing and analysis

Extraction, classification and summarization of documents, messages or forms.

08

AI solutions deployed on suitable compute

Running models on rented GPUs when justified, without owning infrastructure.

AI deployed on rented GPUs

Some companies want to run AI agents without the GPUs, infrastructure or budget to buy and maintain their own hardware. We rent the compute capacity required so they can benefit from AI solutions without investing upfront in proprietary GPU infrastructure.

Hosting chosen per need: API, open model or client infrastructure
Compute rented from infrastructure providers
Cost and performance monitoring in operation

We rent compute capacity from infrastructure providers; we do not operate our own data centers.

Case studies

AI AgentsCompleted

Sereina, AquaShop's AI agent

AquaShop's AI assistant: it answers questions about products, aquariums or orders, and analyzes photos of fish or tanks sent by customers.

  • AI agents

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AI Agents & Intelligent Systems · Portfolio