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Est. 2014

Where Mathematics
Meets Momentum.

Bridging the gap between academic rigor and practical operational impact through AI and Operations Research.

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Our Mission

"To transform complex theoretical research into real-world operational efficiency. We believe that the most challenging problems require a foundation of deep mathematical intelligence and scientific precision."

Lontra was founded by a collective of researchers who recognized that enterprise-scale problems often outpace off-the-shelf software. We specialize in bespoke optimization engines that respect the constraints of physics, logistics, and market dynamics.

The Lontra Method

Our Methodology

Data-driven decisions, validated in real operations.

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1. Data Synthesis

Aggregating and cleaning disparate data sources into a high-fidelity digital twin of your operational environment.

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2. Algorithmic Rigor

Developing custom heuristics and mixed-integer programming models designed specifically for your unique constraints.

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3. Decision Impact

Translating mathematical outputs into actionable, real-time strategies that maximize throughput and minimize waste.

Methodology validated in defense, port logistics, manufacturing, and supply chain projects.

Our Team

Meet the Team

Juan Pablo Morande

Director & Principal Consultant

MS · PhD (c) Auburn · Industrial Eng. UAndes

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Specialist in operations research, machine learning, and simulation, with hands-on experience in combinatorial optimization, time-series forecasting, and LLM-based systems applied to industrial problems. Prior projects in defense (U.S.), mining and port logistics (Chile), manufacturing (Colombia), and supply chain (Norway).

school Education

PhD (c) & Master's, Industrial & Systems Engineering

Auburn University, Alabama

Industrial Engineer

Universidad de los Andes, Chile — 2020

work Selected Applied Projects

Defense - U.S.

Aircraft and crew assignment and scheduling optimization

Optimization models and heuristics for strategic planning of air operations. AFMC/Frontier Technology project.

Ports - Chile

Freight cost prediction with neural networks

Implementation of LSTM, Transformer, and TFT models to forecast freight rates at Chilean ports.

Manufacturing - Colombia

Vehicle loading optimization with heterogeneous fleets

2D optimization methodology to minimize delays at a motorcycle assembly company.

Supply Chain - Norway Published in Omega

MILP circular supply chain model with stochastic programming

Research at NTNU on strategic decisions and product design in closed-loop supply chains. Published in Omega (2025), a top Operations Research journal.

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Collaborator Network

Specialized professionals who complement our capabilities on every project.

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Konstantinos Ziliaskopoulos

Transportation & Networks

PhD-candidate researcher in transportation optimization and network design. Brings expertise in dynamic assignment models and large-scale network design.

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analytics

Jose Palma Jofré

Business Intelligence & Analytics

Industrial engineering professional with hands-on experience in business intelligence and operations analysis. Brings implementation capability for dashboards and analytical models across Chilean industry.

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