About KAIX LABS
Who we are.
We are an independent AI engineering and cybersecurity lab. We build systems that go into production and audit the ones already running.
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01 — Our story
Where we come from.
KAIX LABS was born inside real AI projects: agents leaking data, RAG systems with no access control, models in production with no evaluation evidence. We saw too many prototypes that collapsed the moment real users showed up.
We decided to build a lab that combines two disciplines the industry tends to keep apart: AI systems engineering and offensive security. People who build agents with security by design audit better; people who red team LLMs design sturdier architectures.
We work with Spanish and European companies: SaaS startups and scaleups, regulated sectors, professional services, and organisations running AI in production.
02 — Principles
How we decide what to ship.
These four principles define which projects we accept, how we run them and what we put in writing. They are not slogans: they are the filters we apply every week.
- 01
Bounded scope
Every proposal names a use case, a scope and concrete deliverables. No open-ended projects.
- 02
Production quality from day one
Evaluation, observability and security controls from the start of the project.
- 03
We say what we think
If AI isn't the right answer for your case, we tell you. If a simpler model is enough, the same.
- 04
European context
We work with European regulation (EU AI Act, GDPR, NIS2, ISO 42001, among others). We help you understand and apply it to your case without turning it into a blocker.
03 — How we work
A proven method, adapted to each project.
We scope, build, validate security and hand off. No bureaucracy or rigid process: timelines and scope flexible, fitted to your project.
Diagnosis
Technical session to understand the system, the data, the regulatory risks and the real goals. Output: signed scope and plan.
Construction
Short iterations with continuous evaluation. Code in your repository, technical documentation and weekly demos with your team.
Hardening
Red teaming, prompt injection, access control and evidence review. We close findings before the production rollout.
Operation
Hand-off to the internal team with runbooks, metrics and a maintenance plan. Optional ongoing support with an agreed SLA.
04 — Team
Senior engineers, certified where it matters.
We come from deploying AI, big data and offensive cybersecurity in production. The same person designing your system knows how it breaks.
Our team holds professional certifications in AI security (such as C|OASP) and cloud and MLOps (such as GCP Professional Data Engineer, AWS Solutions Architect, Azure AI Engineer).
Let's talk about your AI system.
We'll suggest a no-obligation first call to assess your case.
[email protected]WhatsApp · +34 644 43 62 81