Diagnosis
Understand context, data, friction, and real cost.
We build the AI that solves real problems.
Four engineers. Zero buzzwords. Measurable results.
Services
We bring technical rigor to every phase of the AI lifecycle.
No fluff. Diagnosis, clear deliverables, and an actionable next step.
How we turn strategy into execution
Prioritization
Choose work sequence by impact and viability.
Delivery
Define clear next steps for team and business.
AI Strategy
A clear map to decide where AI creates margin, speed, or defensible advantage.
We analyze your business processes, identify where AI truly adds value, and define a viable and measurable technical roadmap.
- We audit processes, data, and constraints before promising automation.
- We prioritize use cases by impact, cost, risk, and adoption time.
- We turn fuzzy ideas into a technical roadmap with milestones and owners.
- An opportunity backlog with ROI and effort estimates.
- A target architecture, recommended stack, and critical dependencies.
- A 90-day plan with quick wins and scaling criteria.
Custom Development
A usable, integrated, measurable product. Not a pretty demo disconnected from the business.
We design and build AI systems from prototype to production deployment, securely integrating them into your existing infrastructure.
- We design architecture, flows, and APIs for production from day one.
- We integrate models, data, and tools into your current stack.
- We harden observability, security, and maintenance for real operations.
- An MVP or production system connected to your existing workflows.
- A deployment, monitoring, and version-control pipeline.
- Clear technical documentation to operate and evolve the solution.
Team Training
Real internal capability to decide, execute, and challenge AI with sound judgment.
We train SMEs and large enterprises to understand and leverage AI, demystifying the technology both technically and strategically.
- We tailor content to leadership, product, operations, or technical teams.
- We bring complex concepts down to real examples from your context.
- We combine strategy, technical fundamentals, and guided practice.
- A team aligned on AI language, risks, and opportunities.
- Templates and frameworks to evaluate use cases internally.
- Actionable sessions that leave capability behind, not just inspiration.
AI Systems Audit
See what fails, why it fails, what it costs, and what to fix first.
We evaluate your current Machine Learning systems to detect vulnerabilities, hidden biases, and critical optimization opportunities.
- We review data quality, performance, bias, security, and traceability.
- We locate technical bottlenecks and hidden production debt.
- We prioritize fixes by operational impact and reputational risk.
- An executive and technical report with prioritized findings.
- A remediation plan with quick wins and structural work.
- An objective basis to decide whether to optimize, rebuild, or scale the system.
The team
Technical expertise with a human touch. We are engineers, not salespeople.
Martín Penedo
Technical Director
ML Systems Architect. Leads the deployment of models into production using robust and scalable infrastructures.
Santiago Pereira
AI Engineer
Specialist in Natural Language Processing (NLP). Implements high-precision RAG systems and fine-tuning pipelines for LLMs.
Pedro Arias
AI Engineer
Specialized in computer vision and deep learning. Transforms academic state-of-the-art (SOTA) into efficient and scalable commercial solutions solving real-world problems.
Lucas Martínez
Data Engineer
Expert in modern data architectures. Designs the robust foundations and automated pipelines that enable AI models to perform at a high level.
Let's start
Tell us about your challenge. No strings attached.
INFO@MUSCARIA.AI
Santiago de Compostela, Spain