We don't sell prompts. We build agents that work on their own.
01The problem
Most companies claiming to do AI are putting a chatbot on top of ChatGPT. That's not infrastructure. It doesn't scale. It doesn't make decisions. It doesn't automate real processes.
02Our solution
We build custom agentic infrastructure: multi-agent autonomous systems that integrate with your business processes, make data-driven decisions, and execute tasks without human intervention.
03What it includes
- Agent architecture design (what agents, what roles, how they communicate)
- Integration with existing systems (ERPs, CRMs, internal APIs)
- Workflow orchestration (agent chains with decision logic)
- RAG (Retrieval Augmented Generation) over internal documentation
- Monitoring and observability of agents in production
- Scalability and security
04Example use cases
- Autonomous internal support agent that queries documentation, opens tickets, and escalates to humans only when necessary
- Multi-agent system for automatic analysis and classification of legal/regulatory documents
- AI pipeline that receives sensor/IoT data, analyzes it, and makes operational decisions
- Sales agent that qualifies leads, generates proposals, and schedules meetings
05What sets us apart
We don't implement third-party tools. We design and build custom infrastructure. Your agents, your logic, your data, your control.
Want AI to do real work in your company? Let’s talk.
Let's talkRelated case studies
IT / Software Development
Autonomous agents that turn briefings into fully-built platforms
A RAG-based system with autonomous agents that ingests briefings and orchestrates platform construction.
Events / Trade Fairs — Spain
A high-level trade fair running its eCommerce through autonomous agents
A full B2B/B2C eCommerce platform with autonomous agents for catalog, orders and vendor coordination.