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Applied strategy
Maturity audit, use-case map and prioritisation by impact. We decide where AI creates value before writing a single line of code.
- Discovery
- Business case
- Architecture
CloudHub Agency000
AI Agency
- Madrid · Remote
- Est. 2021
- EU / LATAM
We don't sellAI. We buildleverage.
We design, ship and run artificial intelligence systems measured in euros, hours and decisions. Not in demos.
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Projects delivered
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Industries served
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Average ROI
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Production uptime
01Manifesto
MostAIprojectsdieinthedemo.Oursgotoproduction:wiredintoyoursystems,monitoredandmeasured.Architecture,codeandKPIsfromweekone.Noblackboxes.Nohand-waving.
— The CloudHub team
01
Measurable impact
Every project sets its KPIs on day one: hours saved, accuracy, cost per transaction.
02
Technical transparency
You get the repository, documented architecture and runbooks. The system is yours.
03
Partner, not vendor
We don't vanish after the deploy. We evolve the system with you, quarter after quarter.
02Capabilities
Six fronts, one team
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Agents and copilots
Assistants wired into your CRM, ERP and knowledge base. Enterprise RAG, tools, memory and answer-quality controls.
- RAG
- Multi-agent
- API integration
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Automation
Document classification, data extraction, ticket routing and report generation. Whole processes, with a human in the loop where it matters.
- OCR + NLP
- Workflows
- Human-in-the-loop
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Machine Learning
Predictive models, scoring, anomaly detection and computer vision trained on your data and deployed where you need them.
- Forecasting
- Classification
- Vision
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Data & MLOps
Pipelines, feature stores, vector databases, drift monitoring and CI/CD for models. End-to-end traceability.
- ETL
- Vector DB
- Observability
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Responsible AI
Risk assessment, prompt red-teaming, anonymisation and regulatory compliance. GDPR and the AI Act as a requirement, not a patch.
- Guardrails
- Audit
- Privacy
03Method
Four phases. No surprises.
01Week 1–2
Discovery
We map the business, the data and the goals. You leave with quick wins identified and a business case that holds up.
02Week 3–6
Prototype
A working POC with real metrics on your data. We validate the hypothesis before scaling the investment.
03Week 7–14
Production
Integration, testing, deployment and training. You get code, documentation and operational runbooks.
04Ongoing
Evolution
Monitoring, fine-tuning, new use cases and SLA-backed support. The system improves every quarter.
05Stack
OpenAI✦Anthropic✦Gemini✦Llama✦Mistral✦LangChain✦CrewAI✦n8n✦OpenAI✦Anthropic✦Gemini✦Llama✦Mistral✦LangChain✦CrewAI✦n8n✦OpenAI✦Anthropic✦Gemini✦Llama✦Mistral✦LangChain✦CrewAI✦n8n✦OpenAI✦Anthropic✦Gemini✦Llama✦Mistral✦LangChain✦CrewAI✦n8n✦
AWS✦GCP✦Azure✦Vercel✦Supabase✦Pinecone✦Weaviate✦BigQuery✦Snowflake✦AWS✦GCP✦Azure✦Vercel✦Supabase✦Pinecone✦Weaviate✦BigQuery✦Snowflake✦AWS✦GCP✦Azure✦Vercel✦Supabase✦Pinecone✦Weaviate✦BigQuery✦Snowflake✦AWS✦GCP✦Azure✦Vercel✦Supabase✦Pinecone✦Weaviate✦BigQuery✦Snowflake✦
04Sectors
Where it already works
- 01
Retail & eCommerce
A 24/7 support assistant with access to catalogue, orders and returns.
- 02
Legal & Finance
Contract extraction and summarisation, assisted due diligence and clause alerts.
- 03
Health & Pharma
Smart triage, clinical transcription and semantic search across medical literature.
- 04
Industry & Logistics
Predictive maintenance, route optimisation and vision for quality control.
Questions
What we always get asked
A prototype with real metrics is usually ready in 2–4 weeks. A complete system in production takes between 6 and 16 weeks depending on integrations.
06Contact
Tell us what you want to automate