Trust AI

Izertis technology that can change everything

Trustworthy, Secure and Scalable AI

AI that works in enterprise environments with real impact; secure by governance (ISO/IEC 42001) and by design (OWASP LLM, hardening, model security); scalable through method and experience.

Where do we start? Read our AI Manifesto →

Four concurrent axes

to cover the full cycle of enterprise AI

01. Framework Adoption

Where do we start?
How do we know where to invest in AI?

ANALYZE, DESIGN & PLAN

Before investing, you need to know what you have, what you're missing and where AI generates the most value for your business. We assess your maturity across 12 dimensions, prioritize use cases by impact and feasibility, and build an executable roadmap with a business case your leadership can approve.

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AI maturity assessment with gaps and opportunities

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Prioritized roadmap with estimated ROI per initiative

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Governance model and responsible-use principles

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Adoption plan by role and change management

02. Go to Market

We've spent months in pilot. How do we move to production with real impact?

ACTIVATE, EXECUTE & SCALE

Most consultancies deliver pilots. We deliver production — autonomous agents, deployed models and automated processes with verifiable metrics. Vendor-agnostic architectures, built to scale and to be audited when the regulator arrives.

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AI agents in production: operational and data

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ML, Computer Vision, Edge AI depending on the challenge

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10-dimension architecture: governable and portable

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Azure, AWS, GCP, Open Source; no lock-in

03. Compliance & Security

How do we comply with the AI Act and audit our models before the deadline?

GOVERNANCE, COMPLIANCE & SECURITY

We are the only Spanish consultancy with ISO/IEC 42001 certified by AENOR. What we apply internally, we apply to your projects. Every AI system we deploy is born auditable: decision traceability, granular permissions, bias evaluation and AI Act compliance by design.

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Risk classification and GAP analysis against the AI Act

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ISO/IEC 42001: a certifiable AI management system

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OWASP LLM offensive security, model protection

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GDPR, NIS2, DORA: full regulatory coverage

04. Operational Excellence

How do I know your team actually uses what it sells me?

HOW WE WORK

You can verify it because we practice it first. Our SSD Lab develops with AI from the specification onward — fewer defects, shorter cycles, full traceability. Our Center of Excellence guarantees the same standard across every project. iNNOLAB turns your challenge into a validated prototype in 4 sprints.

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SSD Lab: AI-assisted engineering, shorter cycles

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Center of Excellence: the same standard across every project

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iNNOLAB: from challenge to validated MVP in 4–8 weeks

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Component marketplace: TTD virtually zero

PRODUCTION, NOT DEMO

Measurable results.

Real projects.

Every case has publishable KPIs and visible methodology. No estimates here.

Automated travel quoting and scheduling, with human oversight at the critical points

Leading tourism company. Centralized AI engine that orchestrates autonomous agents for quoting, package scheduling and knowledge management. Three reusable agentic patterns.

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HITL quoter + scheduler + RAG in production

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Secure connectivity with on-premise systems via MCP

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ISO/IEC 42001 architecture from the first commit

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90% fewer manual requests. ROI in under 7 months.

Sales quota and incentive agent on MS Copilot + Power BI + ML.

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90% reduction in manual requests

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ROI under 7 months

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Claims management with no manual intervention in the communications flow.

Passenger transport company. Google ADK + Vertex AI + Document AI for end-to-end claims management.

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90% reduction in manual requests

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ROI under 7 months

See more cases →

WHY NOW

Three forces that
won't wait

The market, regulation and costs are converging at the same time. Organizations that act methodically now will make the difference over the next two years.

01

AI is no longer an experiment; it has become critical infrastructure.

78% of companies already have AI in production, but between 70% and 85% of initiatives fail to generate clear value. The models work. What doesn't work is how they are integrated, how they are governed and how their impact is measured. The organizations that win are those that have moved from developing pilots to industrializing solutions.

37% success without method → 80% success with architecture

02

The AI Act keeps advancing, and it is binding.

Penalties begin in 2026. High-risk systems need technical audits, complete documentation and verifiable conformity assessments. Most organizations still don't know which of their systems are classified as high-risk, nor how to comply with the regulation. What you do today determines whether you're ready for an audit or exposed to a penalty.

03

The cost of the model keeps falling, but its real usage grows.

The price per token drops fast, but in production you don't pay only for a single query. An AI-based solution accesses data, reasons across multiple steps and connects to different tools. That's why savings on the model don't solve the problem — they shift it to how we design and operate the systems.

The first Spanish consultancy certified in

ISO/IEC 42001

AI management system certified by AENOR. We apply to your projects the same standard we are audited against.

Tell us about your case

Reply in under 48h. No strings attached. If the project makes technical sense, we send you a feasibility analysis before talking price.