Skipper layers LLMs, autonomous agents, and advanced data science onto the infrastructure you already run — no rip-and-replace, no downtime, no lock-in. Your systems stay. Their intelligence compounds.
Trusted by engineering teams across Spain & the EU
Each layer is independently deployable and composes with the others — start with one, expand as value compounds.
Modernize without rewriting
We instrument your existing ERP, CRM, SCADA, and on-prem stacks with intelligent monitoring, predictive maintenance, and automated remediation — extending the life of systems you have already paid for.
Language models as a system layer
We embed large language models directly into your data pipelines and business logic — turning unstructured documents, tickets, and logs into structured, queryable intelligence your applications can act on.
Claude co-work, deployed safely
We deploy autonomous agents that operate your existing tools — scheduling, dispatching, escalating, and reporting — with guardrails, observability, and rollback baked in from day one.
Most AI consultancies bolt a chatbot onto your stack and call it transformation. We are systems integrators first. We understand your infrastructure deeply enough to make AI a native part of it — not a guest.
We read your codebase, trace your data flows, and instrument at the source. No brittle API shells sitting on top of systems we do not understand.
Every augmentation is grounded in your real data — feature engineering, model selection, and evaluation pipelines built by practicing data scientists, not prompt engineers.
Agents ship with policy gates, approval workflows, and full action logging. You see every decision, can roll back any action, and retain human authority at every step.
We define success metrics before we write a line of code. Latency, accuracy, cost-per-action, and human-review rate are tracked from deployment onward.
Our team holds PhDs and senior industry experience in statistics, ML engineering, and distributed systems. We bring rigor to model evaluation, drift monitoring, and causal inference — so the intelligence we add is trustworthy, not theatrical.
Hear from engineering leaders who layered intelligence onto their existing systems — and saw results in weeks, not quarters.
“Skipper turned our decade-old ERP into a predictive system. We went from reactive firefighting to preventing incidents before they happened — without touching a single line of COBOL.”
Marta Delgado
CTO, Logística Iberia
“The LLM layer they built over our contract repository saves our legal team 20 hours a week. Extraction accuracy is above 95% and the audit trail gives us full compliance confidence.”
Carlos Ruiz
VP of Engineering, Finanzas Europa
“Their autonomous agents handle 70% of our first-line dispatches now. The guardrails are solid — every escalation is logged, and our ops team stays in full control.”
Ana Belén Torres
Head of Operations, Energía Sur
No black boxes. No big-bang migrations. A measured, reversible process designed for systems that cannot afford to fail.
We audit your systems, data flows, and operational pain points. We identify where intelligence creates the most leverage — and where it would just add noise.
We instrument at the source: telemetry, APIs, document stores, and business logic. Non-invasive connectors preserve your existing contracts and uptime.
Models and agents ship behind guardrails — shadow mode first, then gradual rollout with human approval gates and full action logging at every step.
We monitor drift, retrain on your evolving data, and expand the intelligence surface. Each layer makes the next one cheaper and more accurate.
Tell us what you run today and where it hurts. We will come back with a concrete map of where AI augmentation creates real value — and where it would not.