We turn operations into equations—and equations into AI-powered growth.
From airlines to consumer goods, Tulipán translates business operations into mathematical language and builds custom optimization, forecasting, and AI-powered tools that drive efficiency and scale.
Tulipán is an applied mathematics and artificial intelligence lab. We work with leading companies to tackle their most complex business challenges. We design tailor-made models and digital tools that boost revenue, reduce costs, and unlock new opportunities across industries.
Team
Our team of PhDs, engineers, and developers works hand-in-hand with clients to deploy powerful solutions in record time—often in weeks, not years.
Santiago Gutiérrez
COO / Director of Mathematical Modeling and Optimization
Santiago is a mathematician with deep expertise in applied mathematics, optimization, and data analytics. He leads a team of PhDs and engineers dedicated to solving complex operational challenges through advanced modeling.
His work combines robust and stochastic optimization, machine learning, and probabilistic methods. By turning real-world constraints into scalable models, he helps clients unlock clarity, efficiency, and measurable results.
Juan is a mathematician and Tulipán’s lead architect of intelligent systems. He designs and implements models for forecasting, anomaly detection, segmentation, and personalized recommendations.
His approach spans from data cleaning and clustering to advanced techniques like topological data analysis and large-scale parallel processing. Juan ensures every model is production-ready and delivers real-time impact inside client applications.
Daniel is an expert in computer vision and edge computing. He leads the full lifecycle of AI models designed for deployment on embedded systems and IoT devices.
He also oversees Tulipán’s serverless infrastructure and automation pipelines on AWS, and heads the internal code audit team. His ability to bridge low-level engineering with large-scale cloud systems ensures performance and reliability in production environments.
Santiago leads Tulipán’s software engineering and systems architecture. He builds robust, scalable platforms that connect AI models with real users through seamless applications and backend systems.
He specializes in progressive web apps, microservices, and serverless deployments on AWS. His work ensures Tulipán’s solutions are fast, reliable, and fully integrated with each client’s ecosystem.
Juan Francisco Atuesta
CEO
Juan Francisco brings a unique, cross-disciplinary perspective shaped by a career spanning finance, technology, and operations. He combines strategic insight with deep operational understanding to act on the levers that drive business performance.
With experience in private equity, strategic consulting, and leading startups, he blends analytical rigor with practical instincts. Backed by advanced academic training and a strong technical-administrative mindset, he orchestrates Tulipán’s multidisciplinary teams to deliver mathematically driven solutions that generate real, scalable value.
Our advisory board includes top executives from multiple industries who’ve led through uncertainty, scaled operations, and solved high-stakes problems. Their experience helps us focus on what truly drives impact—and ensures we never lose sight of what really moves the business.
Built for Complexity. Designed for Impact.
We combine applied mathematics, artificial intelligence, and advanced engineering to deliver custom solutions that improve efficiency, reduce costs, and unlock growth.
AI Applied as SaaS
All models are deployed serverlessly on AWS with continuous improvement and support. You focus on growth — we handle the math.
Robust Optimization
We solve real-world problems using state-of-the-art optimization techniques.
Tail Assignment – (Aviation): Assign aircraft to flights while minimizing changes, delays, and maintenance impact.
Lot Sizing – (CPG / Manufacturing): Minimize production costs and maximize efficiency.
Distribution Optimization – (Logistics): Route design that cuts distribution costs by over 20%.
Forecasting & Demand Planning
Custom time-series models that predict short-, medium-, and long-term trends.
Sales Forecasting – (Retail): Incorporates macroeconomic variables like GDP and exchange rates. We can include as many exogenous variables as are available and design individual time series models for each SKU to maximize forecasting accuracy and business impact.
Inventory Planning – Retail Chains: Predicts consumption and automates restocking
Demand Forecasting – (Cross-industry): We anticipate future needs by considering multiple variables, seasonality, and historical behavior to support strategic and operational decision-making
Personalization & Recommendations
AI that drives loyalty, increases average ticket size, and deepens customer insight.
Smart Promotions: Personalized offers based on customer behavior
Recommender Systems: Suggests products not yet bought using graph theory and ML.
Loyalty Analytics: Behavioral clustering to improve retention.
From Data to Deployment in Weeks
01
Analyze
Identify Opportunities
02
Design
Define & Create Optimal Solutions
03
Test
Adjust, Test & Improve Solutions
04
Implement
Scale & Deploy Solutions
05
Enjoy
Make Optimal Decisions
We Turn Math into Measurable Results
Trusted by leading data teams
Major Ariline
• 20% less ground time → savings equivalent to 3 aircraft
• Tail assignment model reducing operational disruptions
• Currently optimizing a 50-aircraft fleet expansion
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Why Industry Leaders Work With Tulipán
•Team of mathematicians, engineers, and developers