fueled by curiosity and innovation

Our data & AI consulting services

We focus on data and AI with critical thinking, cutting through the noise to aim at what matters: your needs, your business, and the right technology.

Our team builds projects that make sense, from data strategy and data engineering to visualization, using AI and intelligent automation. Explore our services and get in touch!

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A young man working on a computer coding data.

Data Platform as a Service

Flexible, end-to-end management of your data platform

Outsource the full cycle of your data platform with one of our service plans. Ensure stability, scalability and continuous improvement:

  • Maintenance: Operational management of the data platform
  • Evolutive: Maintenance & platform evolution
  • Projects: Maintenance & evolution of services & strategic projects
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Data Architectures and Systems

Building modern and scalable data architectures

We design and implement robust data systems that make it easy to ingest, clean, store and visualize your data.

  • Data Engineering: Extraction, cleaning and transformation through robust pipelines.
  • Data Storage: Data warehouses and data lakes.
  • Visualization: Dashboards and reports.
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LLM & AI Projects

Cutting-edge AI solutions built on your own data

We develop intelligent systems powered by LLMs, tailored to your documents and knowledge using RAG technology and natural language interfaces. Our AI capabilities include: 

  • Development of AI intelligent agents.
  • Custom virtual assistants.
  • Advanced semantic search engines.
A consulting and assessment session

Consulting & Assessment

Clarity and strategy in a complex data landscape

We help you understand your current data capabilities and define a strategic direction aligned with your business goals:

  • Strategic approach to the data model.
  • Capability, architecture and project assessment.
  • Custom tactical and strategic roadmap.
  • Prioritized recommendations.
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Training

Training programs to align your teams with data and AI excellence

We offer practical training tailored to your context and designed to upskill teams in three categories:

  • Strategy: For aligning your business goals with the latest in AI and data.
  • Data: For gaining value from data across your company.
  • AI: For integrating AI with sessions focused on your context.
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Talent integration

Connecting your company with the data & AI talent you need

We can help you integrate specialized talent to support your transformation, scale your projects or cover technical needs. Ideal for situations such as:

  • Digital transformation projects.
  • Startups in scaling phases.
  • Temporary need for technical skills.
  • AI projects with scarce talent.

Frequently Asked Questions

Why should I outsource my data platform?

Outsourcing your data platform reduces operational load, ensures system reliability, and allows your team to focus on strategic initiatives and business growth.

How long does an LLM project take?

Personalization is our strength; we always start with an analysis of your context and needs and start building from there. It will depend on the complexity of your particular case.

What does a Data Architecture and Systems type of project include?

It will always depend on your needs. We can provide data architecture design, end-to-end data engineering, modern data storage solutions like data warehouses and data lakes, and dashboards for visualization.

What type of company or team can benefit from the training programs?

Our training services go from introductory sessions for multidisciplinary audiences to strategic workshops and technical trainings. So: any team can benefit from them. Just get in touch and we will find the most suitable format and content for your needs, thanks to our expertise.

When should I consider a talent integration service?

Talent integration is ideal for when you have a particular context, such as a fast-scaling startup, an AI project that requires specialized expertise, or a digital transformation project, and you have no means to hire internally.

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