AI Development

for medium and large companies

We combine experts in software development, generative artificial intelligence, enterprise architecture, conversational design, and business strategy.

Myths of Artificial Intelligence

It's magic

It doesn't solve problems spontaneously; we must work together in a disciplined way. There's a science behind it all.

It's just a chat

For a deep and long-term solution, it is important to build solid foundations, unify knowledge, and standardize a model.

It's intimidating

It's not just large corporations that can access it, nor are large investments necessary.

Our three-dimensional method

True Value

Actual results

Proven methodology

Real (real) adoption of knowledge

Get real value, don't just buy a solution. Train your management team in AI skills and knowledge, ensuring long-term benefits.

Technical Development

Using a proven methodology, we will develop AI agents with a specific and measurable purpose, whether it be increasing efficiency or saving costs.

Observability & Traceability

All our solutions are delivered on a platform that allows for the tracking of AI agents' performance and results to guarantee real results.

1. Intro. to AI & Assessment

Conceptual introduction to management team and selection of critical tasks

4. Agent Training

Orchestration of agents focused on specific tasks

2. Data Audit & ETL

Identification of available knowledge base, cleaning, standardization and availability

3. Vector database

Knowledge classification and relevance weighting for LLM model training

Merkur.ia way in 4 steps

1. Intro. to AI & Assessment

Conceptual introduction to management team and selection of critical tasks

4. Agent Training

Orchestration of agents focused on specific tasks

2. Data Audit & ETL

Identification of available knowledge base, cleaning, standardization and availability

3. Vector database

Knowledge classification and relevance weighting for LLM model training

1. Intro. to AI & Assessment

Conceptual introduction to management team and selection of critical tasks

4. Agent Training

Orchestration of agents focused on specific tasks

2. Data Audit & ETL

Identification of available knowledge base, cleaning, standardization and availability

3. Vector database

Knowledge classification and relevance weighting for LLM model training

A team with multidisciplinary experts

+20 years of experience in M&A and operational optimization

Alex Perez

Pepe Bolaños

+20 years investing in startups and private equity

Pablo Castro

+20 in Bigtech, expert in implementing corporate AI

+15 years of experience in technology and fintech

Joaquín Rivera

Luis Santos

+20 years leading tech and data teams