Artificial intelligence & GenAI
Multi-agent systems, advanced RAG architectures and language model integration to analyse information, support decisions and trigger actions in your business tools.
Multi-agent systems · Advanced RAG · Tool callingInnovAI-Tek helps businesses turn digital ambitions into practical solutions through artificial intelligence, data engineering and custom software development.

InnovAI-Tek is a consulting and engineering company specialising in data, artificial intelligence and software systems. We help organisations make better use of their data, automate processes and develop new digital services.

We bring together the skills needed to build reliable solutions, from raw data to the intelligent applications your teams use every day.


Multi-agent systems, advanced RAG architectures and language model integration to analyse information, support decisions and trigger actions in your business tools.
Multi-agent systems · Advanced RAG · Tool callingData ingestion and transformation, ETL/ELT pipelines, analytics platforms, distributed processing and Data Lakehouse architectures.
Pipelines · Spark · LakehouseForecasting, segmentation, classification, behavioural analysis and decision support using structured and unstructured data.
Modelling · NLP · ForecastingCloud architecture design, automation, deployment, monitoring and robust engineering practices.
Cloud · DevOps · MLOpsCustom business platforms, APIs, integrations and applications built with a strong focus on software quality.
Applications · APIs · IntegrationNeeds assessment, feasibility studies, technology roadmaps and guidance for teams delivering digital transformation.
Assessment · Architecture · AdvisoryBring your data, applications and specialised agents together. We design systems that turn a business request into a controlled sequence of actions.
An orchestrator breaks down the request and assigns tasks to analysis, planning, execution and review agents. They use APIs, SQL databases and business applications to handle multi-step processes.
Hybrid search, routing across knowledge bases, query decomposition and reranking bring the right sources to each request. Structured data, multimodal content and knowledge graphs can enrich the context to meet the needs of each use case.
Access control, action traceability, response evaluation, cost monitoring and error handling are built in from the start. Your teams retain control over sensitive decisions and consequential actions.
Our expertise spans telecom networks, industrial systems, services and commerce, adapting to the challenges of each operating environment.

Network data, monitoring, performance, automation and digital services.

Operational data, predictive maintenance and AI to improve the performance of energy infrastructure.

Sales analytics, forecasting, business performance management and process optimisation.

Turning data into insight, automating document workflows and supporting better decisions.
Solutions that unlock the value of your data, automate processes and support your teams.

Addressing network performance, quality of service and the use of technical data in telecommunications.

Orchestrating specialised agents that combine multiple sources, break down requests, select the right tools and execute business workflows, with human approval at key stages.

Connecting equipment, making operational data useful and integrating AI to anticipate incidents, optimise maintenance and manage infrastructure performance.
Successful technology projects require business understanding as much as technical expertise.
Identify the challenges, users, available data and success criteria.
Define the architecture, technology choices and a realistic delivery scope.
Build and test the solution with regular review checkpoints.
Assess adoption, strengthen quality and adapt the solution as needs evolve.
Our technical capabilities span data engineering, cloud platforms, AI frameworks and development tools.
Our perspective on data architectures, agentic AI and operational performance.
Data quality, governance, architecture and production-ready data pipelines.
Orchestration, multi-source RAG, integration with business tools and controlled execution.
Monitoring, performance and decision support in complex systems.
Tell us about your data, AI and software engineering challenges. Together, we can identify the next steps.