NOVA INDUSTRIA GALEGA
Artificial Intelligence tailored to your business
We design AI agents and multi-agent systems that understand your business, access your data in real time and automate repetitive work. No leaks, no training models with your data, production-ready.
QUÉ ES RAG
Your data + the best LLMs, connected with RAG
RAG (Retrieval-Augmented Generation) lets a language model consult your documents, databases and APIs before answering. Result: answers grounded in your information, not in the model's guesses.
Answers with verifiable sources
The model cites exactly which document or record each fact comes from. Goodbye to the hallucinations that LLMs drag along when they don't know your business.
Synced to the minute
RAG consults your sources on every question. Update a price, a policy or a record and tomorrow's answer reflects it without retraining anything.
Your data never leaves your infrastructure
We deploy on your servers, on private cloud or on-premise. Compliant with GDPR, ENS and the requirements of regulated sectors (health, banking, public sector).
MODEL CONTEXT PROTOCOL
Model Context Protocol: the standard for connecting AI and business
MCP is the open protocol that standardises how an LLM accesses tools, databases and APIs. We work with MCP from day one — it's the future of AI–business integration.
One port, every source
We connect your LLM to SQL/NoSQL, ERPs, CRMs, file systems, intranet, internal APIs and SaaS through a single layer: MCP.
Add sources without rewriting anything
Tomorrow you integrate a new ERP or a new document base: just add the MCP connector. All the agent logic is reused without touching code.
SISTEMAS MULTIAGENTE
Multi-agent systems: when one agent isn't enough
Real problems are rarely solved by a single AI. We design architectures of several specialised AI agents that collaborate, delegate tasks and supervise each other to solve complex workflows end to end.
Specialised agents
One analyst agent queries data, another writer agent communicates results, another reviewer agent checks compliance. Each agent masters one concrete task and runs it better than a generalist.
Orchestration and delegation
A coordinator agent breaks down your request, assigns sub-tasks to the right agent and combines the results. You interact with one; behind the scenes several work.
Access to real tools
Our agents don't just chat: they take action. They query your ERP, generate PDF reports, send emails, update records, call APIs — all under the permission policies you define.
Autonomous reasoning loops
Agents plan, execute, observe the result and replan when needed. They solve multi-step tasks without you guiding every decision.
Traceability and control
Every decision is logged: which tool each agent used, which data it queried, what it answered and why. Audit, debug and improve with real data.
Guardrails and human oversight
We define what each agent can and cannot do. For critical actions, the agent asks for human approval before executing. Machine speed, human control.
BENEFICIOS
What you gain with well-done AI
We don't sell lab pilots. We deploy AI that goes into production and delivers measurable ROI.
Productivity x10
Your team stops searching for information and starts using it. Instant answers across all internal documentation in natural language, no training required.
Data-driven decisions
AI crosses sources a human would never have time to review together: sales, operations, customers, market. Detects patterns and alerts you before they're obvious.
Automation of repetitive processes
Report generation, proposal drafting, ticket triage, email classification, PDF data extraction. What takes you hours today runs by itself tomorrow.
Compliance by design
GDPR, ENS, ISO 27001, regulated sectors. Your data is never used to train third-party models and always stays under your control.
Predictable cost, no surprises
We teach you to estimate and monitor cost per query. Choose between pay-as-you-go cloud models or local deployment without recurring costs.
Adapted to your sector and brand
Tone, language (including Galician, Catalan and Basque), technical terminology, internal flows. We don't sell a generic ChatGPT: we build your AI.
CASOS DE USO
Real cases in companies like yours
Every deployment starts from a concrete problem with metrics to move. These are the patterns we see most.
Internal employee assistant
An AI agent that answers questions about HR policies, procedures, technical documentation, agreements and internal rules. No more "ask such-and-such colleague".
Conversational business analysis
Ask your data in natural language: "show me last quarter's sales by region and product". The AI generates the report and the chart.
24/7 customer support
Agents that resolve 70% of queries without human intervention, escalating only complex cases with full context to the team.
R&D and technology watch
Smart search across papers, patents, regulation and internal documentation. Your research team saves months of work.
STACK
The stack we use to build enterprise AI
We work with open technologies and leading models. No black boxes: we hand you control and documentation so you can maintain or migrate it.
Leading LLM models
GPT-5, Claude Opus/Sonnet, Gemini, Llama and Mistral. We pick the right model for each task based on cost, latency and privacy.
Vector databases
Qdrant, Weaviate, Pinecone and pgvector. Semantic search over millions of documents in milliseconds.
Embeddings and reranking
Multilingual embedding models and reranking with cross-encoders so the agent retrieves what matters, not what looks like what you asked for.
Agent frameworks
LangGraph, LlamaIndex, native MCP and in-house code to orchestrate agents, keep memory across conversations and connect tools securely.
FAQ
Frequently asked questions
What we are asked most before kicking off an enterprise AI project.
How long does it take to deploy an AI agent in my company?
A production-ready pilot in 3-6 weeks from a well-defined use case. Full production in 2 to 4 months depending on integrations.
Are my data used to train OpenAI or Anthropic models?
No. We use enterprise accounts that forbid training on your data, or we deploy open-source models on your own infrastructure.
Is it GDPR-compliant?
Yes. We document processing, legal basis, retention and ARCO rights. For sensitive sectors we offer 100% on-premise deployment with no outbound traffic.
Do I need a tech team to maintain it?
Not mandatory. We hand over training, documentation and an admin panel. If you prefer, we manage the platform as a service.
How is a multi-agent system different from a chatbot?
A chatbot answers text. A multi-agent system understands, decides, executes actions (queries your ERP, writes a report, sends an email), self-supervises and only bothers you when it needs approval.
Put AI to work for you
Tell us which process you'd like to start with and we'll get back to you within 24 hours with a first assessment. Write to [email protected] or use the form.