We develop autonomous ecosystems that absorb your company's mechanical work. From RAG architecture Chatbots for L1 support, to deep automation flows on your own server (n8n). Total privacy and absolute data control.
We don't sell "prompts" or install generic plugins. We deploy robust software solutions integrated directly with your current infrastructure APIs.
L1 Support powered by LLMs and RAG architecture. Strictly trained with your documentation to resolve technical queries 24/7 without inventing data.
Orchestration of workflows (Pipelines) via n8n on your server. Connect your CRM, ERP, and databases to eliminate manual data entry.
Omnichannel B2B/B2C support operating on Meta's official API. Qualify leads, manage bookings, and attend suppliers from the most used app.
Autonomous virtual operators with Action Capabilities. They query your ERP in real-time and make decisions based on business rules.
Your team dedicates more than 20% of their day to mechanical Extract, Transform, Load (ETL) data tasks.
You suffer a systematic loss of B2B leads due to a lack of immediate response outside office hours.
You use a fragmented tech stack (Multiple SaaS) where information resides in disconnected silos.
Your growth is limited by staff volume: doubling revenue necessarily implies doubling hires.
You have experimented with generic AI tools and verified they lack your company's context and security.
Your internal protocols and corporate knowledge (Know-How) depend on key people, rather than being centralized.
Annual cost of 1h daily manual administrative work per employee (INE). An automatic flow reduces it to zero.
Human delay when crossing data between systems generates billing, shipping, and customer experience errors.
Higher business volume means higher manual load. Without automation, marginal profitability decreases drastically.
High-value profiles provide profitability when they analyze, negotiate, or design strategies; not when copying Excel cells.
An LLM without business context invents answers (Hallucinations). A corporate AI (RAG) strictly adheres to your operational truth.
Public cloud platforms inspect your flows. Hosting automation on your infrastructure guarantees regulatory compliance (GDPR).
We map the real operation. We evaluate latencies, identify data silos, and determine which processes offer the highest ROI when automated.
We design the technical infrastructure: LLM model selection, vector database structuring, and API call topology.
We build the agent or pipeline in an isolated environment (Staging). We implement security limits (Guardrails) to prevent anomalous behaviors.
We deploy on your server or private Cloud environment. We activate observability dashboards (Logs) and train the team to manage the new asset.
Generally: initial lead triage and qualification, automation of Level 1 support (FAQs, order status), and data synchronization between commercial CRM and financial ERP.
Yes. We prioritize On-Premise or private Cloud (Self-Hosted) deployments. Your documents are not used to train public models. We use Enterprise-grade APIs with strict non-retention policies.
It depends on the scope. A standard RAG Chatbot requires 2 to 4 weeks. A complex automation pipeline or an AI Agent with execution capabilities on your ERP can take 4 to 6 weeks.
Our Active Maintenance agreements (SLA) include endpoint refactoring and model updates. If an external API is deprecated, we adjust the pipeline to ensure continuity.
Yes. For critical AI projects, we recommend starting with a scoped Proof of Concept (e.g., ingesting 10% of your documentation) to validate model viability and precision before large-scale deployment.
Request a technical consulting session. In 30 minutes we will evaluate your company's digital maturity and design a roadmap toward profitable automation.