AI strategy
Actionable roadmaps that align AI with your business goals and prioritize high-impact use cases.
AI & Machine Learning
Data into intelligent action.
We turn your enterprise data into decisions and products that create real value. AI strategy, custom ML models and production-ready platforms.
Founded by Julian Grijalba — 20 years taking data and AI to production across 57+ countries
Services
End-to-end AI capabilities.
From strategy to production model. One partner for your entire data lifecycle.
Custom ML models
Models trained on your data for prediction, classification and recommendation, rigorously evaluated.
Data platforms
Modern architectures, lakehouses and governed pipelines that make your data reliable and accessible.
MLOps
Continuous deployment, monitoring and retraining to keep your models performing in production.
Generative AI
Copilots, RAG assistants and LLM automation, secure and tailored to your enterprise domain.
Advanced analytics
Dashboards, forecasting and causal analysis that turn data into business decisions.
Approach
Four steps, zero friction.
A proven method that moves AI from pilot to production, with measurable impact at every stage.
01
Discover
We audit your data and identify the highest-return AI opportunities.
02
Design
We define architecture, models and success metrics alongside your team.
03
Build
We develop, train and validate with short cycles and frequent deliverables.
04
Scale
We deploy to production with MLOps and monitoring for sustained impact.
Founder track record
Real results, measured.
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Less reporting time (Kimberly-Clark)
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Faster decisions (Kimberly-Clark)
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Higher forecast accuracy (Kimberly-Clark)
0+
People trained in data
Cases
Real projects led by the founder.
Initiatives led by Julian Grijalba in pharma and CPG, with measurable impact and systems in production.
GenAI in production across 8 countries
Multi-agent pharmaceutical-intelligence system (RAG) deployed over 121 regulatory and market sources, with AI governance for the analytics team.
Agentic AI & RAG
−74% regional reports
Consolidation into a single source of truth for 200+ users across 14 LATAM countries, harmonizing 78% of regional KPIs.
Data operating model
−47% reporting time
Scalable analytics platforms across 57 countries: +37% decision speed, +27% forecast accuracy and 300+ people trained in data literacy.
Analytics at scale
Let's start
Let's put your data to work.
A 30-minute call is enough to map your first high-impact AI use case. No commitment.
Book a call