AI ENGINEERING

Complex problems.AI solutions built for you.

We combine strategy, data and development to improve processes, products and decisions. From machine learning to agentic AI, we select and combine the methods your project needs.

From understanding the problem to a usable solution.

HOW A SOLUTION TAKES SHAPE

The problem shapes the architecture.

Data and results guide the system’s development.

01Objectives and priorities

Define what needs to change.

We start with the process, product or decision to improve. We define expected value, constraints and criteria for assessing the project.

HANDS-ON EXPERIENCE

Our consultants’ projects.

AI, quantitative models and systems integration: a selection of projects our consultants have contributed to across different professional contexts. Explore the challenges and the work involved.

27 projects

Engineering & design

AI technical archive

Your next project starts with what you already know.

An archive you can talk to: find similar projects, retrieve previous solutions and explore historical costs. An approach applied across different settings, from engineering firms to in-house technical departments.

  • Semantic search
  • Vector database
  • Conversational interfaces

A STEP UP IN PROJECT SCOPE

The right technology starts
with the right question.

How can we improve process yield? Where should warehouses be located? What signals are hidden in the data? These challenges call for domain understanding, models and dedicated development.

We design the combination the outcome requires. Strategy, data engineering, mathematical models and software work together. Agentic AI is one option: our scope is the whole problem.

THE CAPABILITIES WE COMBINE

The method follows
the problem.

Each project has its own architecture. We bring together the capabilities needed to build it.

01

Predictive models and optimisation

We develop models to identify patterns, simulate scenarios and find better configurations against objectives and constraints.

  • Machine learning
  • Simulation
  • Optimisation

WHAT YOU GET

A quantitative basis for evaluating alternatives and guiding decisions.

02

Data and domain knowledge

We connect archives, databases, documents and specialist sources, making information consistent and usable by models and people.

  • Data engineering
  • Knowledge base
  • Semantic search

WHAT YOU GET

An information foundation organised around the problem to solve.

03

Generative AI and agents

We design systems that interpret content, generate responses and coordinate tools. We define context, actions and validation points.

  • LLM
  • Agentic AI
  • Orchestration

WHAT YOU GET

Analysis and interaction capabilities integrated into processes and products.

04

Software and integrations

We build dedicated applications and platforms, connect them to business systems, and prepare deployment, monitoring and ongoing development.

  • Custom software
  • APIs and MCP
  • Monitoring

WHAT YOU GET

A solution people can use at work, with dedicated interfaces and integrations.

FROM PROBLEM TO PRODUCTION

A complex project.
Concrete steps.

We define what to build, how to validate it and when to expand it.

  1. Design the system

    We assess the objective, data, constraints and integrations, then identify a useful first scope to develop.

    Architecture, scope and success criteria.

  2. Validate on your cases

    We build a first version and test it on data and situations representative of your work.

    A verifiable first result, with clear limits and priorities.

  3. Bring it into production

    We complete the software and integrations, configure access and monitoring, and agree on future development.

    Release, documentation and an operating plan.

Define your first step

FIND YOUR STARTING POINT

Want to start with
a more focused task?

With AI Automation, we connect and configure the AI tools you already use to carry out defined activities. When you need dedicated software, data architectures and business logic, we build the solution through AI Engineering.

Explore AI Automation

YOUR NEXT PROJECT

Which challenge
do you want to solve?

Tell us about the problem, the systems involved and what you want to achieve. We start there to define feasibility and a useful first result.

The initial discussion clarifies the objective, available data and development scope.

Or email us directlyinfo@icarex.ai

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