Data & AI + Emerging Technologies

We make your data work for your business

We drive strategic decisions and measurable results by combining data governance, modern platforms, and AI solutions (predictive and generative) tailored to your reality. From strategy to continuous operation, we embed intelligence into your processes to accelerate time-to-value and reduce risks.

Artificial intelligence

We help you discover new business opportunities and stay at the forefront in a constantly evolving digital environment, leading digital transformation through advanced artificial intelligence solutions. Our expertise ranges from developing predictive systems to implementing conversational agents powered by Generative AI.

Generative AI

Use cases with LLMs and multimodal models (RAG, agents, content generation, knowledge synthesis, internal copilots)

Machine Learning

Design, train, and deploy Machine Learning models that automate processes, anticipate behaviours, and optimise decision-making through advanced data use.

Computer Vision

Inspection, security, counting, OCR, video analytics.

Conversational assistants / NLP

Bots and copilots for customers and employees (enterprise RAG, cognitive search, summarisation).

MLOps / LLMOps

Lifecycle automation (training, evaluation, registration, deployment, monitoring, retraining) and model observability.

Quantum Computing

Feasibility assessment and pilots in combinatorial and optimisation problems.

Data

Through advanced data analysis, we identify hidden patterns that support strategic decision-making. Real-time processing enables you to adapt to the market and personalise offerings. AI drives innovation by automating processes and anticipating behaviours.

Architecture

Design of scalable architectures (data lakehouse, mesh, event/streaming) and operational and analytical data models.

Data Platforms

Implementation and modernisation of platforms (ingestion, quality, catalogues, lineage, metadata, APIs) across cloud, on-prem, and edge environments.

Data Governance

Policies, roles, processes, catalogue, and lineage; security and privacy by design.

Visualisation

Executive dashboards, augmented analytics, and data storytelling.

More about Data at Izertis

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Emerging Technologies

At Izertis, we are committed to emerging technologies that drive digital transformation. We apply Blockchain-based solutions to ensure traceability and trust, and we develop Phygital experiences that merge the physical and digital worlds, creating real value across key sectors.

Phygital

Our dynamic and advanced environment enhances our capabilities and creativity in technological development (IoT, hardware design, digital product), which—combined with the company’s other areas—enables us to take innovation to the next level, removing the barriers between the physical and digital worlds.

Blockchain

With a focus on transparency, security, and efficiency, we help you lead in an increasingly connected world. Our experience includes developing decentralised digital identity solutions, implementing blockchain networks, and creating decentralised applications (dApps). Our projects have been internationally recognised for their excellence and ability to transform diverse sectors.

Data fragmentation and low data quality

Modern data architectures and platforms (cloud/hybrid) with governance, security, and lineage.

Difficulty scaling AI

MLOps/LLMOps, deployment patterns, and model/AGI observability.

Productivity

Conversational assistants, automation, and augmented analytics in key areas (operations, sales, customer service, finance, supply chain, IT, HR).

Risks and compliance

Responsible AI framework (ethics, bias, privacy, explainability, security) and risk management.

Adoption and change

Talent activation, training, and data-driven culture.

Our services

Data & AI Strategy and Governance

Visioning, business cases, roadmap, and AI/LLM readiness.

Responsible AI framework (ethics, risk, security, compliance).

Data Foundations

Target architecture, platform/lakehouse, quality, catalogue, and lineage.

Semantic modelling and domain data products (data mesh, if applicable).

Analytics and AI use cases

Identification and prioritisation (Value Tree), process-based discovery.

Design and development of predictive analytics, optimisation, and generative AI MVPs (RAG, agents, copilots) with enterprise-grade security.

Industrialisation: MLOps / LLMOps

Pipelines, evaluation (technical and factual), guardrails, quality SLOs.

Deployment, drift monitoring, and continuous retraining.

Adoption, Talent and Change

Enablement by roles (executives, business, data, engineering).

Operational governance: AI/ML Ops Centre and value metrics (OKRs).

Why Izertis

Strategy to operation

We support you end to end, with value measurement for each initiative.

Security and compliance

Privacy, traceability, and explainability integrated.

Scalability

Multi-domain deployment and operation patterns.

Industry expertise

Industry frameworks and accelerators.

Data-driven culture

Focus on adoption and talent.

How we work

Discover

Maturity assessment, opportunities, and prioritisation.

Design

Architecture, use cases, and governance.

Build

Development of data/model products and experiences.

Run

MLOps/LLMOps, observability, and continuous improvement.

Adopt

Training, change management, and value management.